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Hello and welcome to Tomorrow's Food. | 0:00:03 | 0:00:06 | |
Tonight, we're in Warwickshire, home to Ocado - | 0:00:11 | 0:00:15 | |
Britain's largest and most hi-tech food shopping centre. | 0:00:15 | 0:00:19 | |
With its robots and 15 miles of computer-controlled conveyor belts, | 0:00:21 | 0:00:26 | |
we'll reveal how we could all be buying our groceries in the future. | 0:00:26 | 0:00:30 | |
This is a nation defined by its food | 0:00:32 | 0:00:34 | |
but that food is changing all the time. | 0:00:34 | 0:00:37 | |
So what's just around the corner? | 0:00:39 | 0:00:41 | |
What will be on your supermarket shelves tomorrow? | 0:00:42 | 0:00:45 | |
COW MOOS | 0:00:46 | 0:00:47 | |
This series will change the way we think about the food we eat forever. | 0:00:47 | 0:00:51 | |
I'll be joined by a whole team of experts as we discover | 0:00:52 | 0:00:55 | |
an amazing new world of breakfast, lunch and dinner. | 0:00:55 | 0:01:01 | |
Tonight, Michelin-starred chef Angela Hartnett... | 0:01:01 | 0:01:04 | |
..is finding out if this is the kitchen robot | 0:01:06 | 0:01:08 | |
we've all been waiting for... | 0:01:08 | 0:01:10 | |
Doesn't answer back, doesn't turn in sick, | 0:01:10 | 0:01:12 | |
it's never late. | 0:01:12 | 0:01:14 | |
..award-winning greengrocer Chris Bavin is in Australia to find | 0:01:15 | 0:01:19 | |
the ingenious technology | 0:01:19 | 0:01:21 | |
that could revolutionise the future of farming... | 0:01:21 | 0:01:24 | |
It's a tomato farm by day and then a banging nightclub at night. | 0:01:24 | 0:01:27 | |
..Dr Shini Somara travels to Japan to discover | 0:01:28 | 0:01:32 | |
if tech can replace willpower and help us stick to that diet... | 0:01:32 | 0:01:36 | |
I feel like I'm getting full already. | 0:01:37 | 0:01:39 | |
..and I'll be finding out | 0:01:39 | 0:01:41 | |
how forensic science is beating the food fraudsters. | 0:01:41 | 0:01:45 | |
This is Tomorrow's Food. | 0:01:45 | 0:01:49 | |
On Tomorrow's Food, we're on the lookout for new ways to farm | 0:02:01 | 0:02:05 | |
and new things to eat. | 0:02:05 | 0:02:06 | |
Our very own Michelin-starred chef Angela Hartnett is in Canada | 0:02:08 | 0:02:13 | |
to try a protein-packed superfood that makes some people run a mile. | 0:02:13 | 0:02:18 | |
It may not look it | 0:02:21 | 0:02:22 | |
but this place is one of the biggest farms in the world, | 0:02:22 | 0:02:26 | |
at least by population. | 0:02:26 | 0:02:27 | |
Behind here there are hundreds of millions of livestock | 0:02:27 | 0:02:31 | |
but they're a little smaller than your average farm animal. | 0:02:31 | 0:02:35 | |
This is North America's largest edible insect farm. | 0:02:38 | 0:02:42 | |
Come on in. | 0:02:44 | 0:02:45 | |
Oh, my God! | 0:02:46 | 0:02:47 | |
SHE LAUGHS | 0:02:47 | 0:02:49 | |
Ay-ay-ah! | 0:02:49 | 0:02:51 | |
Ooh! I can feel my, er, itching already. Jeepers! | 0:02:51 | 0:02:56 | |
This one barn alone is home to more than 30 million crickets, | 0:02:56 | 0:03:01 | |
all living in cardboard boxes. | 0:03:01 | 0:03:04 | |
The farm is managed by Jarrod Goldin. | 0:03:04 | 0:03:07 | |
These are called cricket condos. | 0:03:07 | 0:03:09 | |
-Cricket condos? -Yes, where they live. | 0:03:09 | 0:03:11 | |
-Cool, nice. -This is nice and dark for them. | 0:03:11 | 0:03:13 | |
They like a dark environment to kind of hide from their predators. | 0:03:13 | 0:03:16 | |
And how many sort of crickets are on one of those things? | 0:03:16 | 0:03:19 | |
There's hundreds. Let me show you. | 0:03:19 | 0:03:21 | |
I'll try to shake these out and you can see. | 0:03:21 | 0:03:23 | |
You mean shake them? They're all going to come... Oh, my God! | 0:03:23 | 0:03:25 | |
Ooh la la! | 0:03:25 | 0:03:27 | |
-SHE LAUGHS -I know I'm itching. | 0:03:27 | 0:03:29 | |
I don't know whether it's cos there's one inside me | 0:03:29 | 0:03:31 | |
or whether I'm just slightly freaking out! Oh, my God! | 0:03:31 | 0:03:34 | |
It might not look like your typical lunch | 0:03:34 | 0:03:38 | |
but crickets are packed with protein - | 0:03:38 | 0:03:40 | |
more than twice the amount, gram for gram, than beef. | 0:03:40 | 0:03:43 | |
They're rich in vitamins | 0:03:45 | 0:03:46 | |
and have nearly two and a half times more iron than spinach. | 0:03:46 | 0:03:50 | |
And they're even good for the planet. | 0:03:50 | 0:03:54 | |
So how efficient, from a farming point of view, are crickets | 0:03:54 | 0:03:57 | |
as opposed to, you know, the traditional method of farming | 0:03:57 | 0:03:59 | |
cows and chickens, etc? | 0:03:59 | 0:04:01 | |
Their water needs are much, much lower | 0:04:01 | 0:04:04 | |
and their land needs are much, much lower. | 0:04:04 | 0:04:07 | |
Yeah. | 0:04:07 | 0:04:08 | |
If a family of four, one day a week, got their protein from insects, | 0:04:08 | 0:04:11 | |
over a year period, | 0:04:11 | 0:04:12 | |
they would save the planet about a million litres of water. | 0:04:12 | 0:04:15 | |
Seriously, a million litres of water? | 0:04:15 | 0:04:17 | |
-A million a year, yup. -That's quite incredible, that is. | 0:04:17 | 0:04:20 | |
The crickets take six weeks to grow to full size | 0:04:22 | 0:04:25 | |
before being humanely killed by freezing and then roasted. | 0:04:25 | 0:04:31 | |
Most are ground up to make cricket flour, which is | 0:04:32 | 0:04:35 | |
used in other products, | 0:04:35 | 0:04:37 | |
though some are also sold whole as a tasty snack. | 0:04:37 | 0:04:40 | |
What flavours do you have? | 0:04:40 | 0:04:41 | |
We have er, honey mustard, salt and pepper, Moroccan. | 0:04:41 | 0:04:45 | |
We have six different flavours. | 0:04:45 | 0:04:47 | |
Sorry, I was actually joking. You do actually flavour the crickets? | 0:04:47 | 0:04:50 | |
No, we do, yeah. We do. | 0:04:50 | 0:04:51 | |
So when I think of farming, this is not necessarily what | 0:04:54 | 0:04:57 | |
I had in mind, but it's probably cos I'm not used to it. | 0:04:57 | 0:05:01 | |
Years ago, we never ate lobsters | 0:05:01 | 0:05:02 | |
cos we thought they were bottom-feeding scavengers | 0:05:02 | 0:05:05 | |
and now we think they're delicious | 0:05:05 | 0:05:07 | |
so it is probably a matter of preconception. | 0:05:07 | 0:05:09 | |
To find out, I'm going to eat some. | 0:05:11 | 0:05:13 | |
I'm joining Jarrod's family for lunch | 0:05:15 | 0:05:17 | |
and everything on the menu contains crickets. | 0:05:17 | 0:05:21 | |
Sister-in-law and chef Karen has cooked up her own insect recipes - | 0:05:21 | 0:05:26 | |
everything from soup to summer rolls, even cheesecake. | 0:05:26 | 0:05:30 | |
Is it the pepper I'm crunching or is it the cricket I'm crunching? | 0:05:30 | 0:05:34 | |
To me, they sort of, um... It's earthy. | 0:05:34 | 0:05:37 | |
-Mushroomy? -Yeah, mushroomy, yeah. -Yes. | 0:05:37 | 0:05:39 | |
I've got to try cheesecake. They look really good. | 0:05:39 | 0:05:42 | |
So has that been caramelised, that little cricket? | 0:05:42 | 0:05:44 | |
It's been candied with some granulated honey. | 0:05:44 | 0:05:47 | |
Right. | 0:05:47 | 0:05:48 | |
Those are my favourite. | 0:05:48 | 0:05:50 | |
You know, I don't like this. You know the reason why? | 0:05:51 | 0:05:53 | |
-You've put coconut in it, haven't you? -Yes. | 0:05:53 | 0:05:55 | |
I cannot stand coconut. | 0:05:55 | 0:05:57 | |
Give me crickets any day to coconut, seriously. | 0:05:57 | 0:06:00 | |
Coconut aside, actually, the food was really good. | 0:06:01 | 0:06:05 | |
I literally thought you were just going to give me, like, a bowl | 0:06:05 | 0:06:07 | |
of crickets and say "eat them", but the fact that it's incorporated | 0:06:07 | 0:06:10 | |
into diet, you've got it as flour, a little sprinkling and seasoning... | 0:06:10 | 0:06:14 | |
You know, it's delicious, thank you. You've got a convert, well done. | 0:06:14 | 0:06:19 | |
'But don't take my word for it.' | 0:06:19 | 0:06:21 | |
To find out if insects will ever make it onto the menu at home, | 0:06:25 | 0:06:29 | |
Chris has taken some tasty bugs to a food fair in Surrey. | 0:06:29 | 0:06:32 | |
Will the Great British public bite? | 0:06:34 | 0:06:36 | |
In this food tent, they've got cheeses, chocolates, chutneys. | 0:06:38 | 0:06:41 | |
They've got a local butcher and a baker. | 0:06:41 | 0:06:44 | |
What I've got is buffalo worms, | 0:06:44 | 0:06:47 | |
meal worms, grasshoppers and crickets. | 0:06:47 | 0:06:52 | |
# I don't like cricket | 0:06:52 | 0:06:53 | |
# Oh, no | 0:06:55 | 0:06:56 | |
# I love it... # | 0:06:57 | 0:06:58 | |
Could I get you to try a grasshopper? | 0:06:59 | 0:07:01 | |
It's not going to lay eggs in me, is it? | 0:07:01 | 0:07:04 | |
Would you eat these? | 0:07:04 | 0:07:05 | |
Eurgh! | 0:07:06 | 0:07:08 | |
Hm. They're not exactly flying off the shelves. | 0:07:08 | 0:07:11 | |
THEY LAUGH | 0:07:11 | 0:07:12 | |
Angela's right. | 0:07:12 | 0:07:14 | |
If we're going to get people eating insects as part of their daily diet, | 0:07:14 | 0:07:17 | |
these guys are going to need a PR makeover. | 0:07:17 | 0:07:20 | |
We'll need a little branding, | 0:07:23 | 0:07:26 | |
something to attract attention, | 0:07:26 | 0:07:29 | |
but most importantly, something more appetising. | 0:07:29 | 0:07:32 | |
If Angela could eat them in a cheesecake, | 0:07:38 | 0:07:39 | |
perhaps these guys would like them with a sweet makeover, too. | 0:07:39 | 0:07:43 | |
Look, we've got biscuits here | 0:07:43 | 0:07:44 | |
that are made of ground-down insect flour, | 0:07:44 | 0:07:47 | |
and the same with these tortilla chips. | 0:07:47 | 0:07:49 | |
And look at this delicious fudge. It's even got insects inside it. | 0:07:49 | 0:07:53 | |
Hello, would you like to try one? | 0:07:53 | 0:07:55 | |
Yeah, I'll give it a go. | 0:07:55 | 0:07:56 | |
Tastes like a cookie to me. | 0:07:56 | 0:07:58 | |
Yeah, nothing different, really. | 0:07:58 | 0:07:59 | |
Would you like to try some lovely tortilla chips | 0:07:59 | 0:08:02 | |
made from insect flour? | 0:08:02 | 0:08:04 | |
Mm! | 0:08:04 | 0:08:06 | |
Delicious? Would you be happy to eat these like that? | 0:08:06 | 0:08:09 | |
No. | 0:08:09 | 0:08:10 | |
But that's what you've just eaten. | 0:08:10 | 0:08:12 | |
What?! | 0:08:12 | 0:08:13 | |
As Angela discovered, once the bugs are in disguise, | 0:08:14 | 0:08:17 | |
they're a whole lot more appetising. | 0:08:17 | 0:08:20 | |
I'll have a cookie, whatever it's made out of. | 0:08:20 | 0:08:22 | |
LAUGHTER | 0:08:22 | 0:08:24 | |
So for all you doubters out there that thought you'd never eat | 0:08:24 | 0:08:27 | |
an insect or a bug, think again. | 0:08:27 | 0:08:29 | |
And the next time you find a bug or an insect in your kitchen, | 0:08:29 | 0:08:32 | |
you might think of it as a snack. | 0:08:32 | 0:08:33 | |
Now, more and more of us are shopping for our groceries online | 0:08:46 | 0:08:51 | |
and supermarkets are encouraging us | 0:08:51 | 0:08:54 | |
to swap our trolleys for a computer mouse. | 0:08:54 | 0:08:56 | |
So this, week I'm at Ocado... | 0:09:02 | 0:09:04 | |
..which is Britain's most hi-tech food shopping centre. | 0:09:14 | 0:09:17 | |
The huge warehouse behind me here, | 0:09:21 | 0:09:23 | |
I'm told, could house 13 football pitches. | 0:09:23 | 0:09:26 | |
Of course, it doesn't. | 0:09:26 | 0:09:27 | |
Instead, it contains lasers and crates and robots and conveyer belts, | 0:09:27 | 0:09:31 | |
all designed to shift hundreds of thousands of groceries | 0:09:31 | 0:09:34 | |
every day in order to bring your food to you faster than ever before. | 0:09:34 | 0:09:39 | |
So is this how we'll all be doing our grocery shop soon? | 0:09:44 | 0:09:47 | |
It can take as little as five hours for products that arrive here... | 0:09:50 | 0:09:54 | |
..to go through this warehouse... | 0:09:58 | 0:10:00 | |
..and leave again on the way to your door. | 0:10:02 | 0:10:04 | |
Jon, I expected there to be lots of people running round, | 0:10:06 | 0:10:09 | |
grabbing things off shelves. | 0:10:09 | 0:10:10 | |
No, it's, um... | 0:10:10 | 0:10:12 | |
It's a very automated site, a very automated facility. | 0:10:12 | 0:10:14 | |
It's all around maximising the efficiency on site. | 0:10:14 | 0:10:19 | |
Aisles have been turned into 15 miles of robotic highways... | 0:10:19 | 0:10:23 | |
..and checkouts into packing stations... | 0:10:24 | 0:10:27 | |
..all to move your shopping as fast as possible to the point that | 0:10:28 | 0:10:31 | |
it's put into your bags. | 0:10:31 | 0:10:33 | |
So far, that's something no robot can do. | 0:10:35 | 0:10:38 | |
This is the packing station, I presume? | 0:10:40 | 0:10:41 | |
Absolutely, Dara. I'm going to hand you over to Kevin now | 0:10:41 | 0:10:44 | |
who's one of our top personal shoppers - | 0:10:44 | 0:10:46 | |
he's going to teach you how to pack. | 0:10:46 | 0:10:47 | |
-How are you? -Very well, yourself? -I'm fine, Kevin. | 0:10:47 | 0:10:50 | |
This looks really manic. Is it a very straightforward job, though? | 0:10:50 | 0:10:53 | |
It's straightforward. It's really, really easy. | 0:10:53 | 0:10:56 | |
All the products are kept in colour co-ordinated baskets. | 0:10:57 | 0:11:00 | |
The green and yellow ones each bring a different item from storage. | 0:11:01 | 0:11:05 | |
The red baskets are being packed with your shopping. | 0:11:08 | 0:11:10 | |
The timing has to be spot on. | 0:11:12 | 0:11:15 | |
A computer sends the correct green or yellow basket to arrive | 0:11:15 | 0:11:19 | |
at the same time as your red basket. | 0:11:19 | 0:11:21 | |
The screen in front of me tells me what you want | 0:11:22 | 0:11:25 | |
and I just need to put the right thing in the right bag. | 0:11:25 | 0:11:28 | |
A lot of baby food here. And also, she wants some Mr Kipling cakes... | 0:11:31 | 0:11:34 | |
-Absolutely. -..which are here, which have just arrived here! | 0:11:34 | 0:11:37 | |
-That's remarkable! -Absolutely. | 0:11:37 | 0:11:38 | |
OK, so that's how fast that is. Put it in there. | 0:11:38 | 0:11:40 | |
And if you press the doors again... Watch your fingers. | 0:11:40 | 0:11:43 | |
-Down it goes. -OK. -"Stand back," it says. | 0:11:43 | 0:11:47 | |
I'm doing this at a relatively leisurely pace. | 0:11:47 | 0:11:49 | |
How many would you presume to do? | 0:11:49 | 0:11:51 | |
People on here, they do an average between 600-800 picks an hour. | 0:11:51 | 0:11:55 | |
-An hour? -Yeah. -OK, fine. | 0:11:55 | 0:11:56 | |
'That's one every four and a half seconds.' | 0:11:57 | 0:12:00 | |
'But at the moment, the orders are backing up...' | 0:12:01 | 0:12:04 | |
Boom, get out of here! Next one. | 0:12:04 | 0:12:07 | |
'..because I'm easily distracted.' | 0:12:07 | 0:12:09 | |
Crumpets, they're just here! It's ridiculous. | 0:12:09 | 0:12:12 | |
You don't even... Look, you don't even see them... | 0:12:12 | 0:12:14 | |
The old ones going and the new ones arriving. | 0:12:14 | 0:12:17 | |
And genuinely, I don't know what I'm doing now! | 0:12:17 | 0:12:19 | |
This thing still means I'm in trouble, by the way. | 0:12:19 | 0:12:22 | |
This means I'm going too slowly. This stuff just keeps coming. | 0:12:22 | 0:12:25 | |
BEEPING | 0:12:25 | 0:12:26 | |
Oh, stop beeping it twice! Oh, right. | 0:12:26 | 0:12:29 | |
Have you done that one before and put a number in? | 0:12:29 | 0:12:31 | |
-Yup. -Uh-oh! | 0:12:31 | 0:12:32 | |
OK, I have put an error into your system! | 0:12:32 | 0:12:35 | |
Absolutely. | 0:12:35 | 0:12:37 | |
Really, we've only done about 12 of these and I've made errors on three of them, | 0:12:37 | 0:12:40 | |
-at least one of which has caused this general stock problem as there's things going round? -Yup. | 0:12:40 | 0:12:44 | |
Normally, in trained hands, the system allows thousands of items | 0:12:47 | 0:12:50 | |
to be packed by a single person every day. | 0:12:50 | 0:12:53 | |
But maybe not today. | 0:12:54 | 0:12:56 | |
-Unexpected product! -Oh, no, no! Put it back in there. | 0:12:57 | 0:13:00 | |
A little later, we'll be back here to find out about the amazing | 0:13:02 | 0:13:06 | |
predictive technology that tells Ocado what you want to | 0:13:06 | 0:13:09 | |
buy before you know it yourself. | 0:13:09 | 0:13:13 | |
Online shopping may be the future, | 0:13:28 | 0:13:30 | |
but 97% of us still buy our food from traditional supermarkets. | 0:13:30 | 0:13:34 | |
So how will they look in tomorrow's world? | 0:13:37 | 0:13:40 | |
To find out, mechanical engineer Dr Shini Somara has gone | 0:13:43 | 0:13:47 | |
to a global technology exhibition in Milan. | 0:13:47 | 0:13:50 | |
# S-H-O-P-P-I-N-G | 0:13:52 | 0:13:56 | |
# We're shopping... # | 0:13:56 | 0:13:57 | |
Designers here have created what they believe will be | 0:13:59 | 0:14:02 | |
the supermarket of tomorrow. | 0:14:02 | 0:14:04 | |
It feels really space-agey in here. | 0:14:08 | 0:14:11 | |
There's, like, digital displays everywhere. | 0:14:11 | 0:14:14 | |
The displays are combined with motion detectors that sense | 0:14:14 | 0:14:17 | |
exactly which item I'm looking at. | 0:14:17 | 0:14:20 | |
OK, so just by picking up this product, it's actually | 0:14:21 | 0:14:26 | |
prompted the display to start telling me more about it. | 0:14:26 | 0:14:30 | |
It tells me the cost, it's telling me | 0:14:30 | 0:14:32 | |
the carbon footprint of making pro-biotic yoghurt. | 0:14:32 | 0:14:35 | |
The designers wanted to create a futuristic supermarket but | 0:14:36 | 0:14:41 | |
with an open-plan layout inspired by traditional food markets. | 0:14:41 | 0:14:46 | |
It's a big space but it doesn't feel too oppressive, | 0:14:46 | 0:14:49 | |
like normal supermarkets. | 0:14:49 | 0:14:51 | |
And no future supermarket would be complete | 0:14:53 | 0:14:56 | |
without a sprinkling of these. | 0:14:56 | 0:14:58 | |
This machine looks like it's doing something really simple. | 0:15:00 | 0:15:04 | |
It's just stacking apples. | 0:15:04 | 0:15:06 | |
But it actually represents a real breakthrough | 0:15:06 | 0:15:09 | |
when it comes to robotic technology | 0:15:09 | 0:15:11 | |
because normally, human beings and industrial robots shouldn't mix, | 0:15:11 | 0:15:16 | |
it's quite dangerous, | 0:15:16 | 0:15:18 | |
but watch what happens when I actually interact with it. | 0:15:18 | 0:15:21 | |
It stopped. | 0:15:24 | 0:15:25 | |
Because of this ability to sense if it hits an obstacle, | 0:15:27 | 0:15:32 | |
this robot is the first of its kind | 0:15:32 | 0:15:34 | |
that can operate in crowded public spaces. | 0:15:34 | 0:15:37 | |
# Are friends electric? # | 0:15:39 | 0:15:41 | |
The hope is that, one day soon, robots like this one could | 0:15:41 | 0:15:45 | |
work safely alongside us, even in the busiest supermarkets. | 0:15:45 | 0:15:49 | |
Just around the corner at the exhibition is a very | 0:15:57 | 0:16:00 | |
different vision of how tomorrow's grocery shopping might look. | 0:16:00 | 0:16:04 | |
Most of us still like to wander through a supermarket, | 0:16:08 | 0:16:11 | |
browsing for our groceries, | 0:16:11 | 0:16:13 | |
so the designers of this system are aiming to recreate that experience | 0:16:13 | 0:16:18 | |
with these virtual reality goggles | 0:16:18 | 0:16:20 | |
but they're combining it with the convenience of shopping online. | 0:16:20 | 0:16:24 | |
OK, so I see this dairy farm in front of me and cereals. | 0:16:25 | 0:16:31 | |
I'm going to go to cereals. | 0:16:31 | 0:16:34 | |
Whoa! | 0:16:34 | 0:16:36 | |
By moving my head, I can look around this virtual world. | 0:16:36 | 0:16:40 | |
There's a chicken right there. | 0:16:40 | 0:16:42 | |
I can see and almost touch the food I'm buying. | 0:16:43 | 0:16:46 | |
I've never seen this product before so it's nice to be able to | 0:16:48 | 0:16:50 | |
look at the packaging. | 0:16:50 | 0:16:52 | |
Nutritional facts - that's the thing I'd be most interested it. | 0:16:52 | 0:16:57 | |
85 calories for 280g - it's actually quite good. | 0:16:57 | 0:17:01 | |
Yeah, that's definitely going in the basket. | 0:17:02 | 0:17:05 | |
It was good fun playing with these goggles and I love | 0:17:07 | 0:17:09 | |
being in a virtual world but I'm not really sure the technology | 0:17:09 | 0:17:13 | |
is there yet because online shoppers really want to save time | 0:17:13 | 0:17:16 | |
and they want convenience, | 0:17:16 | 0:17:18 | |
and this technology doesn't really give you that. | 0:17:18 | 0:17:21 | |
It's still early days for this system | 0:17:23 | 0:17:25 | |
but whether it's information at the touch of your fingertips | 0:17:25 | 0:17:28 | |
or touch-sensitive robots, it seems like the future of | 0:17:28 | 0:17:31 | |
supermarket shopping is going to be an experience tailored just to you. | 0:17:31 | 0:17:37 | |
Service, please! Two deep-fried oysters, one baked pumpkin. | 0:17:49 | 0:17:53 | |
Our very own Michelin-starred chef, Angela Hartnett... | 0:17:53 | 0:17:57 | |
Can you pass me a bowl, John, please? | 0:17:57 | 0:17:59 | |
..is trying out some kitchen gadgets... | 0:17:59 | 0:18:01 | |
Service! | 0:18:01 | 0:18:03 | |
..that claim they could revolutionise our cooking and our lives. | 0:18:04 | 0:18:08 | |
So today, it's about a talking frying pan that claims it can help | 0:18:10 | 0:18:13 | |
you cook the perfect food. | 0:18:13 | 0:18:15 | |
The pan aims to help total kitchen novices by sending | 0:18:15 | 0:18:19 | |
step-by-step instructions to an app. | 0:18:19 | 0:18:22 | |
I'm putting it to the test with a classic steak. | 0:18:22 | 0:18:25 | |
So, to me, it's all about the timing, | 0:18:25 | 0:18:27 | |
it's all about the heat of the pan, so let's see how this pan gets on. | 0:18:27 | 0:18:31 | |
So we're going to go for a medium-rare steak. | 0:18:31 | 0:18:34 | |
-APP BEEPS -Oops, it's connected. | 0:18:34 | 0:18:35 | |
APP: 'Preheat the pan to 350 degrees Fahrenheit. | 0:18:35 | 0:18:39 | |
'Remember to add one tablespoon olive oil to the pan.' | 0:18:39 | 0:18:41 | |
A sensor in the pan measures the temperature of the surface | 0:18:43 | 0:18:47 | |
and it sends the information to the app. | 0:18:47 | 0:18:50 | |
And you can see it's going up in numbers. | 0:18:50 | 0:18:52 | |
I'm loving the fact it says, "Marvellous, marvellous!" | 0:18:52 | 0:18:55 | |
It's like being in a kitchen with Mary Berry. | 0:18:55 | 0:18:57 | |
-APP BEEPS -Ah, put the steak in the pan. | 0:18:57 | 0:18:58 | |
-'Put the steak in the pan.' -There we go. | 0:18:58 | 0:19:01 | |
So far, so good. | 0:19:01 | 0:19:03 | |
It's asked for the meat to go into a sizzling hot pan, | 0:19:03 | 0:19:06 | |
just as I would. | 0:19:06 | 0:19:07 | |
But the temperature sensor on my talking pan seems | 0:19:07 | 0:19:10 | |
a tad too sensitive. | 0:19:10 | 0:19:11 | |
APP BEEPS | 0:19:11 | 0:19:13 | |
'The heat is a bit too low.' | 0:19:13 | 0:19:14 | |
So I'm going to have to turn it up a little bit. | 0:19:14 | 0:19:17 | |
-APP BEEPS -Now it's a bit too hot. | 0:19:19 | 0:19:20 | |
-'The heat is a bit too high.' -OK, so I'm turning it down again. | 0:19:20 | 0:19:25 | |
APP BEEPS 'The heat is a bit too high.' | 0:19:25 | 0:19:27 | |
Yeah, bloody hell, this is quite annoying now. | 0:19:27 | 0:19:29 | |
It seems to be sort of reacting every time you sort of touch it. | 0:19:29 | 0:19:33 | |
It's saying, "Turn the heat up, turn the heat down", | 0:19:33 | 0:19:36 | |
when actually, in normal cooking, | 0:19:36 | 0:19:37 | |
that wouldn't really make that much of a difference. | 0:19:37 | 0:19:40 | |
APP BEEPS 'Flip the steak.' | 0:19:40 | 0:19:42 | |
So what I'm looking for when I cook my steak - | 0:19:42 | 0:19:44 | |
beautiful caramelisation, and you've got that lovely nutty goldenness. | 0:19:44 | 0:19:49 | |
APP BEEPS | 0:19:49 | 0:19:50 | |
'Put the butter into the pan. | 0:19:50 | 0:19:52 | |
'As it melts, use a spoon to baste the steak with butter.' | 0:19:52 | 0:19:55 | |
You're getting flavour in there, you're getting moisture in there. | 0:19:56 | 0:19:59 | |
APP BEEPS 'You're done. Enjoy your steak.' | 0:19:59 | 0:20:02 | |
So the app's told me to rest my meat, | 0:20:04 | 0:20:06 | |
which you would always do, | 0:20:06 | 0:20:07 | |
cos it lets the fibres and the tissues relax | 0:20:07 | 0:20:10 | |
and that helps to tenderise your meat. | 0:20:10 | 0:20:12 | |
It looks nice and it looks nicely caramelised but, for me, | 0:20:14 | 0:20:17 | |
that's not a medium-rare steak, that's a well-done steak. | 0:20:17 | 0:20:21 | |
I think all that, you know, "It's too hot, it's too cold", | 0:20:21 | 0:20:24 | |
you never really ever have a pan that is absolutely on 350 degrees. | 0:20:24 | 0:20:29 | |
I think that pan could work with something...I don't know, | 0:20:29 | 0:20:32 | |
risotto, it could probably work for something like that. | 0:20:32 | 0:20:34 | |
It could maybe work for something like stews. | 0:20:34 | 0:20:37 | |
One-pot wonder dishes for me. | 0:20:37 | 0:20:39 | |
'Remember to turn off the stove.' | 0:20:39 | 0:20:41 | |
In this series, I'm investigating how technology can help us | 0:20:52 | 0:20:56 | |
with some of the big issues that all of us face | 0:20:56 | 0:20:58 | |
about the food we eat in tomorrow's world. | 0:20:58 | 0:21:01 | |
This week, the billion-pound industry of food fraud. | 0:21:04 | 0:21:08 | |
You may not think you've heard of food fraud | 0:21:09 | 0:21:12 | |
but you'll definitely have heard about | 0:21:12 | 0:21:13 | |
the horsemeat scandal that rocked the nation in 2013. | 0:21:13 | 0:21:17 | |
Investigations have started to find out | 0:21:20 | 0:21:22 | |
how some supermarket beefburgers were found to contain horsemeat. | 0:21:22 | 0:21:26 | |
We all remember that one, don't we? | 0:21:26 | 0:21:28 | |
Where the beefburgers and the 100% beef lasagne | 0:21:28 | 0:21:30 | |
weren't really 100% beef | 0:21:30 | 0:21:32 | |
and contained a little bit too much horse? | 0:21:32 | 0:21:34 | |
Tests showed horsemeat levels | 0:21:34 | 0:21:36 | |
of between 60 and 100% in some products. | 0:21:36 | 0:21:40 | |
Horsemeat isn't actually bad for you. | 0:21:40 | 0:21:42 | |
The problem is that it's not what we thought we were paying for. | 0:21:42 | 0:21:46 | |
And from lamb that's really chicken | 0:21:46 | 0:21:48 | |
to bread that's been bulked out with chalk, | 0:21:48 | 0:21:50 | |
food-related rip-offs are as old as a Sunday roast. | 0:21:50 | 0:21:53 | |
So can we look forward to a future without food fraud | 0:21:53 | 0:21:57 | |
or is it just always going to be with us? | 0:21:57 | 0:21:59 | |
Because one of the reasons that it's always been going on | 0:21:59 | 0:22:01 | |
is because a lot of the time, we don't know what we're eating. | 0:22:01 | 0:22:04 | |
# Fish, fish, fish, fish, fish | 0:22:04 | 0:22:06 | |
# Fish, fish, fish, fish | 0:22:06 | 0:22:08 | |
# Eating fish! # | 0:22:08 | 0:22:09 | |
Take a normal visit to the chip shop. | 0:22:11 | 0:22:14 | |
You want to order some cod and chips - | 0:22:14 | 0:22:16 | |
please, can I have some cod and chips? | 0:22:16 | 0:22:18 | |
Can I get some cod and chips? | 0:22:18 | 0:22:19 | |
We do this all the time, don't we? That'd be lovely. | 0:22:19 | 0:22:22 | |
Just...OK, there's some cod there, | 0:22:22 | 0:22:24 | |
and then some more cod there, and some more... | 0:22:24 | 0:22:26 | |
Like, I'm not that hungry, Pam! Thanks very much. | 0:22:26 | 0:22:29 | |
The three fish Pam's kindly served up look pretty similar | 0:22:29 | 0:22:33 | |
but only one is the cod that's written on the menu. | 0:22:33 | 0:22:37 | |
They all look the same from the outside. | 0:22:37 | 0:22:39 | |
That breaks the same way. Is this the cod? | 0:22:41 | 0:22:44 | |
Or this? Or this? | 0:22:44 | 0:22:46 | |
One of these is haddock and one is whiting | 0:22:48 | 0:22:51 | |
but most of us can't tell them apart. | 0:22:51 | 0:22:53 | |
And last year, investigators found one in every six pieces of fish | 0:22:53 | 0:22:58 | |
sold in chippies was actually a different, cheaper species. | 0:22:58 | 0:23:02 | |
-Not here, of course, cos this is Long's... -No, we only serve cod and haddock. | 0:23:02 | 0:23:05 | |
..Belfast's finest fish and chip shop. | 0:23:05 | 0:23:07 | |
You know the fishermen and the fish you're getting. | 0:23:07 | 0:23:09 | |
But you might get any of these three fish when you order cod and chips | 0:23:09 | 0:23:12 | |
because we can't tell the difference. | 0:23:12 | 0:23:14 | |
But as fast as fraudsters are coming up with new ways to trick us, | 0:23:18 | 0:23:22 | |
scientists are searching for new ways to beat them at their own game. | 0:23:22 | 0:23:26 | |
Professor Chris Elliott is at the forefront | 0:23:26 | 0:23:29 | |
of the war on food fraud, | 0:23:29 | 0:23:31 | |
the man the government called in after the horsemeat scandal. | 0:23:31 | 0:23:34 | |
Chris, how common is food fraud? | 0:23:37 | 0:23:39 | |
Up to 10% of all the food that we buy has some sort of fraud | 0:23:39 | 0:23:42 | |
-associated with it. -Yeah. | 0:23:42 | 0:23:44 | |
In the UK, there could be up to £10 billion worth | 0:23:44 | 0:23:47 | |
of criminal activity going on at any given time. | 0:23:47 | 0:23:50 | |
So the one that most people know about now is substitution fraud, like in the horsemeat scandal - | 0:23:50 | 0:23:54 | |
putting something cheap in for something that's expensive. | 0:23:54 | 0:23:56 | |
Where science can help to fight these fraudsters | 0:23:58 | 0:24:01 | |
is with identification. | 0:24:01 | 0:24:04 | |
Much of the meat in the horsemeat scandal was missed | 0:24:04 | 0:24:06 | |
because it was labelled as British when it wasn't. | 0:24:06 | 0:24:09 | |
This machine could stop that. | 0:24:10 | 0:24:12 | |
By analysing the chemical composition of the meat, | 0:24:12 | 0:24:15 | |
it can tell where in the world it comes from. | 0:24:15 | 0:24:18 | |
Essentially, what the cow eats and drinks will give him | 0:24:19 | 0:24:22 | |
a unique regional fingerprint, as it were? | 0:24:22 | 0:24:25 | |
Yeah. Those animals will have a signature. | 0:24:25 | 0:24:28 | |
So if the meat has been labelled from the wrong place in order | 0:24:29 | 0:24:32 | |
to inflate the price or to pass it off as something it's not, | 0:24:32 | 0:24:36 | |
Chris can spot the fraud. | 0:24:36 | 0:24:37 | |
And with an armoury of hi-tech weapons like this, | 0:24:40 | 0:24:42 | |
he's uncovered all manner of food crimes... | 0:24:42 | 0:24:45 | |
..including olive oil, sold in Britain, | 0:24:46 | 0:24:49 | |
that doesn't have any olives in it. | 0:24:49 | 0:24:51 | |
So they put colouring dyes into sunflower oil... | 0:24:52 | 0:24:54 | |
To make it look like olive oil. | 0:24:54 | 0:24:56 | |
So what's the price differential between that... | 0:24:56 | 0:24:58 | |
between those two things? | 0:24:58 | 0:24:59 | |
So sunflower oil would be maybe 50p for a litre. | 0:24:59 | 0:25:05 | |
Extra virgin olive oil, | 0:25:05 | 0:25:07 | |
you could pay upwards of £5 per litre - | 0:25:07 | 0:25:10 | |
ten times more. | 0:25:10 | 0:25:11 | |
-That's quite the mark-up, isn't it? -Huge mark-up. | 0:25:11 | 0:25:14 | |
So somewhere, there is a factory or warehouse into which sunflower | 0:25:14 | 0:25:18 | |
comes in one door and extra virgin olive oil goes out the other door? | 0:25:18 | 0:25:22 | |
Yeah, and when you say a factory, | 0:25:22 | 0:25:24 | |
there are multiple factories across Europe doing that. | 0:25:24 | 0:25:28 | |
Then there's the honey that's been diluted. | 0:25:28 | 0:25:30 | |
It tastes very sweet. | 0:25:30 | 0:25:32 | |
75% honey, 25% sugar. | 0:25:32 | 0:25:35 | |
Honey laundering! | 0:25:35 | 0:25:36 | |
And Chris recently discovered that a quarter of the oregano | 0:25:37 | 0:25:41 | |
on sale in Britain has been cut with tasteless plants. | 0:25:41 | 0:25:46 | |
As new technology comes on board, | 0:25:47 | 0:25:49 | |
there are even more frauds which Chris can spot. | 0:25:49 | 0:25:52 | |
Remember that fish? | 0:25:52 | 0:25:53 | |
One of Chris' latest bits of kit | 0:25:53 | 0:25:55 | |
identifies different species in seconds. | 0:25:55 | 0:25:58 | |
What we have here is a surgeon's scalpel. | 0:25:59 | 0:26:02 | |
Attached to it is a laser. | 0:26:02 | 0:26:04 | |
As I cut through that fish, the laser starts to burn the fish. | 0:26:04 | 0:26:09 | |
A mass spectrometer analyses the smoke particles | 0:26:11 | 0:26:15 | |
and, by matching the profile against the database Chris is building, | 0:26:15 | 0:26:18 | |
he's able to identify the fish. | 0:26:18 | 0:26:21 | |
It's a technique originally developed for cancer surgery | 0:26:21 | 0:26:24 | |
to distinguish between cancerous and healthy cells. | 0:26:24 | 0:26:28 | |
-There's the result. -DARA LAUGHS | 0:26:28 | 0:26:29 | |
85% probability that that is not only cod, | 0:26:29 | 0:26:33 | |
but it's the tail of the cod. | 0:26:33 | 0:26:35 | |
Do we pay more for tail of cod? Is tail of cod better...? | 0:26:35 | 0:26:37 | |
-We pay less for tail of cod. -Oh, really? -Yes. | 0:26:37 | 0:26:39 | |
So if I'm eating a cod fillet but I'm getting cod tail, | 0:26:39 | 0:26:42 | |
-somebody is doing better out of that deal? -Exactly. | 0:26:42 | 0:26:45 | |
Chris' forensic techniques can already reveal a huge amount about | 0:26:45 | 0:26:49 | |
a piece of food and it's hoped that the growing range of tools at his | 0:26:49 | 0:26:53 | |
disposal will increasingly give the fraudsters a run for their money. | 0:26:53 | 0:26:58 | |
What we're trying to do in the UK is make it as difficult as possible | 0:26:58 | 0:27:02 | |
for fraudsters to operate, so we're trying to make a fortress | 0:27:02 | 0:27:06 | |
so that those fraudsters will take their trade somewhere else. | 0:27:06 | 0:27:09 | |
Now, here's something for those moments | 0:27:20 | 0:27:22 | |
when you can't find the item on your shopping list | 0:27:22 | 0:27:25 | |
and spend hours wandering round the store looking for it. | 0:27:25 | 0:27:28 | |
A team in Texas has built a shopping trolley | 0:27:32 | 0:27:35 | |
with a mind of its own. | 0:27:35 | 0:27:36 | |
It's a prototype and it's helping one of the design team, | 0:27:41 | 0:27:44 | |
Eric Schneider, to do his shop. | 0:27:44 | 0:27:46 | |
-TROLLEY: -'Hello, Eric. Nice to see you again.' | 0:27:47 | 0:27:49 | |
Meet the smartest cart - a shopping trolley which knows how you shop | 0:27:51 | 0:27:56 | |
and where you shop better than you do. | 0:27:56 | 0:27:58 | |
It can navigate seamlessly round the store... | 0:28:01 | 0:28:04 | |
..or, at least, that's the idea. | 0:28:06 | 0:28:08 | |
'I'm ready to shop if you are.' | 0:28:08 | 0:28:10 | |
'Your first closest item is spaghetti. It is in aisle 12. | 0:28:11 | 0:28:16 | |
'I'll follow you there.' | 0:28:16 | 0:28:17 | |
As well as telling you where to go, the shopping trolley will | 0:28:18 | 0:28:22 | |
make helpful suggestions about what you might like to buy. | 0:28:22 | 0:28:26 | |
'Organic spaghetti noodles. | 0:28:28 | 0:28:30 | |
'This would go well with some Marinara sauce. | 0:28:30 | 0:28:33 | |
# I always feel like | 0:28:33 | 0:28:35 | |
# Somebody's watching me... # | 0:28:35 | 0:28:38 | |
It's powered by electric motors in the wheels | 0:28:38 | 0:28:40 | |
and it sees the world through a pair of motion-sensitive cameras. | 0:28:40 | 0:28:44 | |
When it's time to leave, | 0:28:47 | 0:28:48 | |
as you've already checked everything into your trolley, | 0:28:48 | 0:28:51 | |
there's no need to check out - all you have to do is pay. | 0:28:51 | 0:28:55 | |
'Thank you. I can follow you to your car if you'd like.' | 0:28:55 | 0:28:59 | |
Its creators believe their trolley will be in your supermarket | 0:29:01 | 0:29:05 | |
within five years. | 0:29:05 | 0:29:06 | |
Until then, you'll just have to find your own spaghetti. | 0:29:09 | 0:29:13 | |
With the world population due to hit 9 billion by the year 2050, | 0:29:21 | 0:29:26 | |
we're running out of space to grow enough food to feed us all. | 0:29:26 | 0:29:29 | |
So fruit and veg expert Chris Bavin is in Australia | 0:29:31 | 0:29:35 | |
where ingenious scientists have found a way to grow vegetables | 0:29:35 | 0:29:39 | |
in one of the most unlikely places on earth - the desert. | 0:29:39 | 0:29:42 | |
Growing fruit and veg is quite complicated | 0:29:46 | 0:29:49 | |
but there is a couple of simple rules - | 0:29:49 | 0:29:51 | |
you need lots of good, fresh, clean water, | 0:29:51 | 0:29:54 | |
something decent to grow it in | 0:29:54 | 0:29:56 | |
and you don't want extreme temperatures. | 0:29:56 | 0:29:58 | |
Which makes this possibly one of the worst places in the world | 0:29:58 | 0:30:02 | |
to grow fruit and vegetables! | 0:30:02 | 0:30:04 | |
He's certainly not getting his five a day. | 0:30:06 | 0:30:09 | |
Welcome to Sundrop Farm | 0:30:18 | 0:30:21 | |
in the South Australian Outback. | 0:30:21 | 0:30:24 | |
Here, the temperatures reach 40 degrees | 0:30:24 | 0:30:27 | |
and there's just 20 centimetres of rain a year. | 0:30:27 | 0:30:30 | |
But this 2,000 square metre greenhouse | 0:30:32 | 0:30:35 | |
is packed full of tomatoes. | 0:30:35 | 0:30:37 | |
So how is this possible? | 0:30:38 | 0:30:40 | |
I'm here to meet the team behind this desert farm - | 0:30:41 | 0:30:45 | |
Reiner Wolterbeek and Philipp Saumweber. | 0:30:45 | 0:30:48 | |
-Hello, guys. -Hey. | 0:30:49 | 0:30:50 | |
-This place is incredible. -Chris, good to see you. | 0:30:50 | 0:30:52 | |
-Nice to meet you. How are we doing? -Great, welcome. | 0:30:52 | 0:30:55 | |
Thank you very much. The tomatoes look good. | 0:30:55 | 0:30:57 | |
Do you mind if I taste one? | 0:30:57 | 0:30:58 | |
No, go for it. | 0:30:58 | 0:30:59 | |
Mm. That is lovely. | 0:31:01 | 0:31:03 | |
To grow tomatoes, you need water... | 0:31:04 | 0:31:07 | |
..but the nearest source of fresh water is 250 miles away. | 0:31:09 | 0:31:14 | |
So the first task was to create their own supply from sea water. | 0:31:16 | 0:31:21 | |
We're about a kilometre away from the ocean. | 0:31:22 | 0:31:24 | |
We pump it from there towards here and then we just need heat, | 0:31:24 | 0:31:28 | |
and what you're looking at is a big solar heat collector. | 0:31:28 | 0:31:31 | |
These mirrors swivel so they always face the sun. | 0:31:33 | 0:31:36 | |
They concentrate solar energy onto a pipe filled full of oil. | 0:31:38 | 0:31:42 | |
The oil heats the sea water until it boils and turns into steam. | 0:31:45 | 0:31:50 | |
If you condense that water vapour, then you get fresh water. | 0:31:51 | 0:31:54 | |
And that's our irrigation water. | 0:31:54 | 0:31:56 | |
The salty water that is left behind is pumped back into the sea. | 0:31:58 | 0:32:02 | |
So an hour ago, this was water from the great Southern Ocean | 0:32:05 | 0:32:07 | |
-and now it's good enough to drink? -Yeah. | 0:32:07 | 0:32:09 | |
Well done, guys. Cheers. | 0:32:11 | 0:32:12 | |
Cheers. | 0:32:12 | 0:32:13 | |
But farming in the desert | 0:32:15 | 0:32:17 | |
isn't just about finding a supply of fresh water. | 0:32:17 | 0:32:20 | |
They also need to deal with a climate | 0:32:22 | 0:32:24 | |
that's far too hot for tomatoes. | 0:32:24 | 0:32:26 | |
-How hot can it get round here? -I've seen it as high as 48. | 0:32:29 | 0:32:33 | |
Sometimes, they need to drop the temperature in the greenhouse | 0:32:33 | 0:32:37 | |
by as much as 20 degrees but the way they do it is surprisingly simple, | 0:32:37 | 0:32:43 | |
using just seawater, | 0:32:43 | 0:32:46 | |
corrugated cardboard and fans. | 0:32:46 | 0:32:49 | |
So when you take your summer holiday and you jump into a swimming pool | 0:32:51 | 0:32:55 | |
and you get out, the layer of droplets on your body start | 0:32:55 | 0:32:59 | |
evaporating and that creates this chilled sensation. | 0:32:59 | 0:33:01 | |
Yeah, yeah, yeah. | 0:33:01 | 0:33:02 | |
It's basically the same what happens here. | 0:33:02 | 0:33:05 | |
Sea water is poured over the cardboard | 0:33:05 | 0:33:07 | |
and, as it evaporates, it cools the air. | 0:33:07 | 0:33:10 | |
The fans then pull the cold air through the whole greenhouse | 0:33:10 | 0:33:13 | |
to lower the temperature. | 0:33:13 | 0:33:15 | |
Yeah, you can see it all coming down here. | 0:33:16 | 0:33:18 | |
It's like an industrial Blue Peter project! | 0:33:18 | 0:33:21 | |
That is very cold to touch. | 0:33:21 | 0:33:22 | |
But there are some things | 0:33:25 | 0:33:26 | |
that Philipp and Reiner can't control. | 0:33:26 | 0:33:29 | |
As well as kangaroos getting into the greenhouse... | 0:33:30 | 0:33:33 | |
..there's the bees. | 0:33:35 | 0:33:36 | |
Or rather, the lack of them. | 0:33:38 | 0:33:40 | |
The native Australian bees don't like tomato flowers | 0:33:43 | 0:33:46 | |
and won't pollinate them | 0:33:46 | 0:33:47 | |
so these guys have had to come up with a new way | 0:33:47 | 0:33:50 | |
to pollinate their plants. | 0:33:50 | 0:33:52 | |
MUSIC: Bangarang by Skrillex | 0:33:52 | 0:33:55 | |
You use that? You use the vibration from a speaker? | 0:33:57 | 0:34:01 | |
Yup. At the end of the day, it does the same trick. | 0:34:01 | 0:34:03 | |
It just vibrates air and that vibrates in the flower, | 0:34:03 | 0:34:06 | |
and we're now trying | 0:34:06 | 0:34:07 | |
to get it in the right frequency to mimic the normal bumblebees. | 0:34:07 | 0:34:11 | |
So it's a tomato farm by day | 0:34:14 | 0:34:16 | |
-and then a banging nightclub at night, is it? -Yeah. | 0:34:16 | 0:34:19 | |
So to help bring us fresh fruit and veg, | 0:34:26 | 0:34:29 | |
a barren desert has been turned into a fertile oasis. | 0:34:29 | 0:34:32 | |
What this place shows us is you can grow fruit and vegetables | 0:34:33 | 0:34:37 | |
in some of the most inhospitable, arid parts of the world, | 0:34:37 | 0:34:40 | |
even without access to fresh water. | 0:34:40 | 0:34:43 | |
Maybe desert farming in the future could be one of the solutions | 0:34:43 | 0:34:46 | |
to feed our growing population. | 0:34:46 | 0:34:48 | |
Now, back to Britain. We're a nation of habit. | 0:34:53 | 0:34:57 | |
Did you know that as much as 80% of the items in your shopping basket | 0:34:57 | 0:35:02 | |
are the same every week? | 0:35:02 | 0:35:04 | |
Most supermarkets use that information | 0:35:06 | 0:35:09 | |
to predict what you'll want so they can make sure it's in stock. | 0:35:09 | 0:35:12 | |
At Ocado, the team that knows more about your shopping that you do | 0:35:15 | 0:35:19 | |
is run by Paul Clarke. | 0:35:19 | 0:35:20 | |
We collect a huge amount of data | 0:35:24 | 0:35:26 | |
on everything that people buy, | 0:35:26 | 0:35:28 | |
the frequency at which they buy, | 0:35:28 | 0:35:29 | |
and then we use those to try and predict | 0:35:29 | 0:35:32 | |
what they're going to ask us for tomorrow. | 0:35:32 | 0:35:34 | |
What are the single most popular items? | 0:35:34 | 0:35:36 | |
-Milk and cucumber are surprisingly at the top of the range. -Really? | 0:35:36 | 0:35:40 | |
And, obviously, people buy many different kinds of milk, | 0:35:40 | 0:35:43 | |
but cucumber, I think, is slightly bizarre but that's the case. | 0:35:43 | 0:35:46 | |
Wow, OK. It's a nation of cucumber lovers! | 0:35:46 | 0:35:48 | |
It's a nation of cucumber lovers, yeah. | 0:35:48 | 0:35:51 | |
But many of our favourites can change on a daily basis. | 0:35:51 | 0:35:54 | |
So right now, you presume that this breakfast biscuit thing, | 0:35:56 | 0:36:00 | |
which I've actually never seen before, | 0:36:00 | 0:36:02 | |
is going to sell more than this gingerbread man? | 0:36:02 | 0:36:05 | |
That's what we predict. | 0:36:05 | 0:36:06 | |
It's all about trying to predict what customers are going to | 0:36:06 | 0:36:09 | |
buy tomorrow before they even have a clue themselves. | 0:36:09 | 0:36:12 | |
Their computers use this information | 0:36:12 | 0:36:14 | |
to position the most popular items close together, | 0:36:14 | 0:36:17 | |
which can wipe crucial seconds off your delivery time. | 0:36:17 | 0:36:21 | |
It's strange to think that the popularity is... | 0:36:22 | 0:36:24 | |
As I fan my hands out, these are equally popular. | 0:36:24 | 0:36:27 | |
-Now, if I'm stretching, they're less popular. -That's it. | 0:36:27 | 0:36:30 | |
Again, behind me, this is presumably very, very popular things. | 0:36:30 | 0:36:33 | |
Some brands are very well known but some brands I've never heard of. | 0:36:33 | 0:36:36 | |
This is a banana-apple-peach juice. | 0:36:36 | 0:36:39 | |
Are you really selling as many of them as you are of the muffins? | 0:36:39 | 0:36:42 | |
As many of them as you are of this well-known brand? | 0:36:42 | 0:36:46 | |
-That's what the data says. -Yes, that's intriguing. | 0:36:46 | 0:36:48 | |
And this well-known brand of blackcurrant cordial | 0:36:48 | 0:36:52 | |
sells as much as Bell's Whisky, | 0:36:52 | 0:36:53 | |
so there is a window on the British population. | 0:36:53 | 0:36:55 | |
So next time you're struggling to decide | 0:36:59 | 0:37:02 | |
what should be in your weekly shop, | 0:37:02 | 0:37:04 | |
be aware these guys probably already know what you're going to buy. | 0:37:04 | 0:37:08 | |
Next, with up to a quarter of us on a diet at any one time, | 0:37:22 | 0:37:27 | |
can technology help us with the battle of the bulge? | 0:37:27 | 0:37:30 | |
Shini has travelled to Tokyo to take part in an experiment to see | 0:37:34 | 0:37:39 | |
if you can lose weight without willpower. | 0:37:39 | 0:37:41 | |
So to prepare for this eating experiment, | 0:37:47 | 0:37:49 | |
I've been told not to eat for a few hours | 0:37:49 | 0:37:51 | |
and that's all I know at this stage and I'm starving! | 0:37:51 | 0:37:54 | |
I've been kept in the dark about exactly what's going to happen. | 0:37:59 | 0:38:02 | |
The test is being run by Professor Takuji Narumi. | 0:38:02 | 0:38:06 | |
Hi. Nice to meet you. Konichiwa. | 0:38:06 | 0:38:09 | |
The first thing he gets me to do is put on some goggles. | 0:38:11 | 0:38:14 | |
Can you see your hand? | 0:38:14 | 0:38:16 | |
Oh, yeah, I can see my hands. | 0:38:16 | 0:38:18 | |
OK, this is a cookie. | 0:38:18 | 0:38:21 | |
So please eat until you are satisfied. | 0:38:21 | 0:38:24 | |
The headset is part of a system that combines the real world | 0:38:28 | 0:38:31 | |
with the virtual world. | 0:38:31 | 0:38:33 | |
It's called augmented reality. | 0:38:33 | 0:38:35 | |
They seem smaller than the usual size cookie. | 0:38:35 | 0:38:39 | |
Oh, but it's maybe Japanese size. | 0:38:39 | 0:38:42 | |
HE CHUCKLES | 0:38:42 | 0:38:43 | |
Takuji wants to know how many I can eat. | 0:38:43 | 0:38:46 | |
I didn't know it... | 0:38:48 | 0:38:49 | |
Five cookies that was. | 0:38:49 | 0:38:51 | |
..but the headset was actually manipulating what I saw. | 0:38:51 | 0:38:55 | |
OK, this IS my last one. | 0:38:56 | 0:38:58 | |
So that's part one of the experiment over. | 0:39:01 | 0:39:04 | |
I'm still not quite sure what's going on | 0:39:04 | 0:39:06 | |
and tomorrow I'm back for part two. | 0:39:06 | 0:39:08 | |
The next day, I had to do exactly the same thing. | 0:39:14 | 0:39:17 | |
These cookies are huge. | 0:39:20 | 0:39:22 | |
HE CHUCKLES | 0:39:22 | 0:39:23 | |
I could eat a fifth | 0:39:23 | 0:39:25 | |
but I'd be forcing myself to have that. | 0:39:25 | 0:39:28 | |
Mmm... | 0:39:28 | 0:39:29 | |
But this time, I could only manage five. | 0:39:31 | 0:39:34 | |
Oh... | 0:39:34 | 0:39:36 | |
That's enough cookies for me. | 0:39:36 | 0:39:38 | |
I have my suspicions about those cookies. | 0:39:39 | 0:39:42 | |
-Were they bigger cookies than yesterday? -No. | 0:39:42 | 0:39:45 | |
-You only ate this one kind of cookie. -Really? -Yes. | 0:39:45 | 0:39:49 | |
On both days, the same cookie? | 0:39:49 | 0:39:51 | |
Yes. | 0:39:51 | 0:39:52 | |
I had like eight yesterday. | 0:39:52 | 0:39:55 | |
So, seeing is believing. | 0:39:55 | 0:39:56 | |
All the cookies were exactly the same size. | 0:40:01 | 0:40:04 | |
But Takuji's researchers found that if the cookies look bigger, | 0:40:06 | 0:40:09 | |
we eat fewer of them. | 0:40:09 | 0:40:11 | |
On average 10% less. | 0:40:11 | 0:40:14 | |
People are fooled | 0:40:18 | 0:40:19 | |
because it's not just the cookies that are changing size. | 0:40:19 | 0:40:22 | |
What's really clever about this technology is the fact that | 0:40:26 | 0:40:29 | |
I can see my hand and it looked as it does in reality but the cookie | 0:40:29 | 0:40:33 | |
I was holding wasn't what it seemed to be. | 0:40:33 | 0:40:36 | |
A computer system was actually changing the shape of my hand. | 0:40:38 | 0:40:42 | |
As it made the images of the cookies bigger or smaller, | 0:40:42 | 0:40:45 | |
my hand was changing as well. | 0:40:45 | 0:40:47 | |
You may not be getting your own augmented reality glasses | 0:40:50 | 0:40:53 | |
any time soon... | 0:40:53 | 0:40:54 | |
But studies have shown that just putting your meals | 0:40:56 | 0:40:59 | |
onto a smaller plate | 0:40:59 | 0:41:02 | |
makes them seem bigger. | 0:41:02 | 0:41:04 | |
And that can make you eat less. | 0:41:05 | 0:41:07 | |
Tomorrow's Food promises new technologies, new tastes | 0:41:22 | 0:41:26 | |
and new textures. | 0:41:26 | 0:41:28 | |
So could our future food be created in a lab, | 0:41:29 | 0:41:32 | |
rather than growing on a farm? | 0:41:32 | 0:41:34 | |
# How do you like your eggs in the morning... # | 0:41:47 | 0:41:51 | |
I've come to California where they're trying to redesign | 0:41:51 | 0:41:54 | |
one of nature's most versatile foods. | 0:41:54 | 0:41:57 | |
-Morning. -Hi, how are you? -Good, what can I get for you this morning? | 0:41:57 | 0:42:00 | |
Can I get... Oh, can I get something with eggs, please? | 0:42:00 | 0:42:03 | |
Oh, you've come to the right place. | 0:42:03 | 0:42:05 | |
In the UK we eat our way through over a million eggs a day. | 0:42:06 | 0:42:10 | |
Eggs are incredible. | 0:42:12 | 0:42:13 | |
If you beat eggs, they will hold in air | 0:42:13 | 0:42:16 | |
and make food fluffy and light like pancakes, or omelette. | 0:42:16 | 0:42:19 | |
You can glaze with them and they will caramelise like French toast. | 0:42:19 | 0:42:22 | |
You can use them to hold ingredients together, | 0:42:22 | 0:42:25 | |
like in a cake, or you can even use them to emulsify, | 0:42:25 | 0:42:28 | |
which means to stop oil and water separating | 0:42:28 | 0:42:32 | |
so that you can make mayonnaise. | 0:42:32 | 0:42:34 | |
Eggs - what would we do without them? | 0:42:34 | 0:42:37 | |
I'm here in Silicon Valley, more famous for computer companies | 0:42:40 | 0:42:43 | |
like Google and Facebook - it's not famous for food, | 0:42:43 | 0:42:46 | |
but one company wants to change that | 0:42:46 | 0:42:48 | |
because they want to...not redesign the egg, | 0:42:48 | 0:42:50 | |
but design something that will do the job an egg does | 0:42:50 | 0:42:53 | |
without using any chickens or any animals at all, just using plants. | 0:42:53 | 0:42:57 | |
They're making the eggless egg | 0:42:57 | 0:42:59 | |
and it's not being made by farmers or chefs - | 0:42:59 | 0:43:01 | |
it's being made by nerds. | 0:43:01 | 0:43:02 | |
Here at a company called Hampton Creek, | 0:43:03 | 0:43:06 | |
they think they've cracked it. | 0:43:06 | 0:43:08 | |
So that's it, that's how it looks. | 0:43:08 | 0:43:09 | |
-Absolutely. -So you make a mixed egg? | 0:43:09 | 0:43:11 | |
Yes, this is a representative of a whole egg. | 0:43:11 | 0:43:14 | |
Well, scrambled egg does seem like a fairly straightforward test | 0:43:14 | 0:43:17 | |
of how effective an egg substitute this is. | 0:43:17 | 0:43:19 | |
That's our really big test. | 0:43:19 | 0:43:21 | |
We want to see how it performs. | 0:43:21 | 0:43:22 | |
People have been making scrambled eggs in their homes for years | 0:43:22 | 0:43:25 | |
and they know the feel, | 0:43:25 | 0:43:26 | |
the speed in which it cooks. | 0:43:26 | 0:43:27 | |
It's a very unique process that it goes through | 0:43:27 | 0:43:30 | |
while cooking an egg in a pan. | 0:43:30 | 0:43:32 | |
-Make me some scrambled eggs. -Absolutely! Let's do it. | 0:43:32 | 0:43:35 | |
The reason they've managed to raise millions of dollars to create | 0:43:37 | 0:43:41 | |
an egg made of plants is not only because they think there could be | 0:43:41 | 0:43:44 | |
a billion-dollar market for it, | 0:43:44 | 0:43:46 | |
but if they can create an eggless egg, | 0:43:46 | 0:43:48 | |
the possibilities for food are endless. | 0:43:48 | 0:43:51 | |
But first, their egg needs to be convincing. | 0:43:52 | 0:43:56 | |
You can make an omelette out of this, a scrambled egg, | 0:43:56 | 0:43:58 | |
it does the exact same thing at the same rate of speed. | 0:43:58 | 0:44:01 | |
It's taken years to trawl through a database | 0:44:03 | 0:44:05 | |
of 18 billion plant extracts | 0:44:05 | 0:44:08 | |
to shortlist around 4,000 chemical compounds | 0:44:08 | 0:44:12 | |
that look most promising. | 0:44:12 | 0:44:13 | |
As it cooks, it looks more and more like scrambled egg. | 0:44:15 | 0:44:17 | |
It doesn't look like egg when it goes in. | 0:44:17 | 0:44:20 | |
Then a computer calculated the combination of these plant extracts | 0:44:20 | 0:44:23 | |
most likely to make an eggless egg cook | 0:44:23 | 0:44:26 | |
and taste like the real thing. | 0:44:26 | 0:44:27 | |
Finally, chefs like Trevor tweak the recipe to make sure | 0:44:29 | 0:44:33 | |
it works in the real world. | 0:44:33 | 0:44:34 | |
I'm just about there. | 0:44:34 | 0:44:36 | |
The exact recipe used is a closely guarded secret. | 0:44:36 | 0:44:40 | |
All I know is it's definitely 100% chicken free. | 0:44:40 | 0:44:45 | |
So this is it, this is the non-egg scrambled egg? | 0:44:48 | 0:44:52 | |
You got it! | 0:44:52 | 0:44:53 | |
-The texture feels very egg-like. -Mm-hm. | 0:44:57 | 0:44:59 | |
That's remarkable. | 0:44:59 | 0:45:01 | |
Basically any way you would cook your egg at home, | 0:45:01 | 0:45:04 | |
this will do the exact same thing. | 0:45:04 | 0:45:06 | |
-Of course eggs do loads of different jobs. -Absolutely. | 0:45:06 | 0:45:09 | |
While the eggless scrambled egg is still a prototype, | 0:45:09 | 0:45:12 | |
one of their products should be hitting UK stores soon. | 0:45:12 | 0:45:15 | |
So we have four of them out here. That's just our regular mayonnaise. | 0:45:15 | 0:45:19 | |
We have got a garlic, a Sriracha and a chipotle. | 0:45:19 | 0:45:21 | |
-I'm going to try the chipotle. -OK. | 0:45:21 | 0:45:24 | |
-Nice. -Thanks so much. | 0:45:29 | 0:45:31 | |
The job of this isn't for me to go, | 0:45:31 | 0:45:32 | |
"Oh, my God, that's too much chipotle." The, er... | 0:45:32 | 0:45:35 | |
There's quite a kick on that one, actually. | 0:45:35 | 0:45:37 | |
The job of this isn't for me to go, | 0:45:37 | 0:45:39 | |
"This is the most amazing thing I've ever tasted in my life." | 0:45:39 | 0:45:41 | |
The job for me here is to go, | 0:45:41 | 0:45:43 | |
"That's exactly the same thing I've always tasted." | 0:45:43 | 0:45:45 | |
You're going to use it exactly the same way | 0:45:45 | 0:45:47 | |
you used any other product. | 0:45:47 | 0:45:48 | |
Food engineers like those at Hampton Creek have big plans | 0:45:50 | 0:45:53 | |
to transform the food industry. | 0:45:53 | 0:45:55 | |
And other companies are already developing cow-free milk and cheese. | 0:45:58 | 0:46:02 | |
Like all of these new start-up companies, | 0:46:04 | 0:46:06 | |
the people here speak about how this product is going to change the world | 0:46:06 | 0:46:09 | |
because it will reduce carbon emissions and save water resources | 0:46:09 | 0:46:13 | |
and will make people healthier and it will be like a revolution | 0:46:13 | 0:46:16 | |
and they all talk like that but this one could work, | 0:46:16 | 0:46:19 | |
because even though it's a revolution, | 0:46:19 | 0:46:21 | |
when you put it in your mouth, it's like nothing has changed. | 0:46:21 | 0:46:23 | |
Go to the veg aisle of any supermarket today | 0:46:35 | 0:46:38 | |
and you'll be greeted by a riot of colour. | 0:46:38 | 0:46:40 | |
Our greens are no longer just green. | 0:46:42 | 0:46:46 | |
From candied beetroot to rainbow chard, | 0:46:46 | 0:46:49 | |
or purple cauliflower, | 0:46:49 | 0:46:51 | |
everything has a twist. | 0:46:51 | 0:46:52 | |
But have you ever wondered why? | 0:46:54 | 0:46:57 | |
Well there is signs that suggest the appearance of our food | 0:46:57 | 0:47:00 | |
affects how it tastes. | 0:47:00 | 0:47:02 | |
Chris Bavin has gone down to the market to find out more. | 0:47:03 | 0:47:07 | |
I'm in New Spitalfields Market in London's East End. | 0:47:13 | 0:47:16 | |
This is the largest fruit and veg market in the UK. | 0:47:17 | 0:47:20 | |
There's 120 businesses in here, | 0:47:21 | 0:47:23 | |
selling thousands of tonnes of fresh produce every day. | 0:47:23 | 0:47:26 | |
Now these guys may not be Michelin-starred chefs | 0:47:29 | 0:47:32 | |
but they do know a thing or two about taste. | 0:47:32 | 0:47:34 | |
So I want to find out if what they see can fool their taste buds. | 0:47:37 | 0:47:41 | |
I've got three different coloured drinks here. | 0:47:43 | 0:47:45 | |
One yellow, one green and one red. | 0:47:45 | 0:47:48 | |
-Shall we start with the yellow one first, please? -Cheers. | 0:47:50 | 0:47:53 | |
Have you got to shoot it down? | 0:47:53 | 0:47:55 | |
No, it's a taste test so just sip it, try and get the flavour. | 0:47:55 | 0:47:59 | |
-Not much, really. -Nothing. | 0:48:01 | 0:48:03 | |
Slightly flavoured tap water. | 0:48:03 | 0:48:05 | |
OK, no problem. | 0:48:05 | 0:48:06 | |
Do you want to try the green one? | 0:48:06 | 0:48:08 | |
-That's exactly the same. -Very similar. | 0:48:09 | 0:48:11 | |
-There might be a bit of apple or something in it. -It's a bit sweeter. | 0:48:11 | 0:48:14 | |
OK, cool. If you'd like to taste the red one for me. | 0:48:14 | 0:48:18 | |
-Cranberry. -The only one with a flavour. | 0:48:18 | 0:48:20 | |
What they don't know is that all three drinks are identical. | 0:48:22 | 0:48:25 | |
It only the colour that's different. | 0:48:25 | 0:48:28 | |
So they should all taste the same. | 0:48:28 | 0:48:30 | |
It's like an artichoke flavour. | 0:48:30 | 0:48:32 | |
You've a refined palate there, haven't you? | 0:48:32 | 0:48:34 | |
The green one tasted the best but obviously | 0:48:34 | 0:48:37 | |
it's got some vegetables in it. | 0:48:37 | 0:48:38 | |
They were all exactly the same. | 0:48:38 | 0:48:40 | |
Just coloured water with a little bit of sugar | 0:48:43 | 0:48:47 | |
but exactly the same. | 0:48:47 | 0:48:49 | |
There's nothing in it that makes it change flavour? | 0:48:49 | 0:48:52 | |
Absolutely nothing at all. | 0:48:52 | 0:48:53 | |
You so strongly associate the colour red with sweetness, | 0:48:53 | 0:48:56 | |
with berries and cherries, | 0:48:56 | 0:48:58 | |
that your brain overrides your taste buds | 0:48:58 | 0:49:01 | |
and tells you this is sweeter, this is a sweeter drink. | 0:49:01 | 0:49:05 | |
So colour alone can trick the brain into tasting things differently. | 0:49:05 | 0:49:09 | |
Something the food industry is already putting to good use. | 0:49:09 | 0:49:13 | |
A purple or black potato there, | 0:49:17 | 0:49:19 | |
gold beetroot. | 0:49:19 | 0:49:21 | |
Candied beetroot. | 0:49:21 | 0:49:23 | |
Bi-coloured peppers. | 0:49:23 | 0:49:25 | |
A nice purple carrot. | 0:49:25 | 0:49:26 | |
It is thought these colourful variations on our staple veg | 0:49:26 | 0:49:30 | |
could be more appealing, especially for kids. | 0:49:30 | 0:49:34 | |
Research has shown that if your child's plate | 0:49:34 | 0:49:37 | |
has up to six different colours on it, | 0:49:37 | 0:49:39 | |
they're far more likely to eat it all. | 0:49:39 | 0:49:41 | |
It's an interesting idea but it will have to compete with some more | 0:49:42 | 0:49:46 | |
established parenting techniques. | 0:49:46 | 0:49:48 | |
If you don't eat it, you don't go on the PlayStation. | 0:49:48 | 0:49:51 | |
CHRIS LAUGHS | 0:49:51 | 0:49:52 | |
Now if you can't cook, or you just don't have the time, | 0:49:59 | 0:50:02 | |
how about a robot that does it for you? | 0:50:02 | 0:50:06 | |
And to cordon bleu standards. | 0:50:08 | 0:50:10 | |
So imagine if you have the world's greatest chefs | 0:50:13 | 0:50:15 | |
permanently installed in your kitchen. | 0:50:15 | 0:50:18 | |
There's a catch though, so we sent our own Michelin-starred chef, | 0:50:18 | 0:50:22 | |
Angela, to find out if she's about to be replaced by a machine. | 0:50:22 | 0:50:26 | |
I've eaten lots of meals, | 0:50:30 | 0:50:32 | |
I've met lots of chefs, | 0:50:32 | 0:50:33 | |
but today is going to be a real first. | 0:50:33 | 0:50:36 | |
I'm having a meal cooked by a robot. | 0:50:36 | 0:50:39 | |
Meet Robochef, | 0:50:43 | 0:50:45 | |
two sleek and silent, ultra-precise animatronic arms. | 0:50:45 | 0:50:49 | |
This robot doesn't just mechanically plod through recipes. | 0:50:53 | 0:50:56 | |
It can be programmed to copy the actions | 0:50:56 | 0:50:59 | |
of any celebrity chef precisely. | 0:50:59 | 0:51:01 | |
Right now it's a prototype, | 0:51:04 | 0:51:07 | |
but one of these could be installed in our kitchens in the future. | 0:51:07 | 0:51:10 | |
And then you could choose to have a robot version of Jamie Oliver, | 0:51:12 | 0:51:15 | |
James Martin, or even me cooking for you in your own home. | 0:51:15 | 0:51:19 | |
At the moment, the arms mimic the actions | 0:51:22 | 0:51:24 | |
of MasterChef winner Tim Anderson. | 0:51:24 | 0:51:27 | |
-Hey. -Hello, Angela. -Hey Tim! -How's it going? -Long time. | 0:51:29 | 0:51:31 | |
-Are you all right? -Thanks for coming down. | 0:51:31 | 0:51:33 | |
-My God - this is it! -This is it. | 0:51:33 | 0:51:35 | |
These are effectively your arms, no? | 0:51:35 | 0:51:38 | |
They could be anybody's arms but for now they're mine. | 0:51:38 | 0:51:40 | |
So is this for the industrial kitchen? | 0:51:40 | 0:51:43 | |
I mean, basically, do I get rid of all my chefs and buy ten of these? | 0:51:43 | 0:51:45 | |
It doesn't answer back, it doesn't turn in sick, it's never late. | 0:51:45 | 0:51:49 | |
No, keep your chefs, as long as they're good. | 0:51:49 | 0:51:52 | |
Um, this for domestic kitchens. | 0:51:52 | 0:51:54 | |
It's meant to replace situations | 0:51:54 | 0:51:55 | |
-where people would turn to takeaways and ready meals. -Got you. Yeah. | 0:51:55 | 0:51:59 | |
For people who can't cook, who don't want to cook, things like that | 0:51:59 | 0:52:02 | |
but who want fresh, nutritious food, basically. | 0:52:02 | 0:52:05 | |
The robot isn't intelligent, so to learn it has to record | 0:52:08 | 0:52:12 | |
and copy the actions of a real chef. | 0:52:12 | 0:52:14 | |
Let's get you strapped in. | 0:52:17 | 0:52:19 | |
-This one on first? -That one on first. | 0:52:19 | 0:52:21 | |
The robot arms can be programmed using a system | 0:52:22 | 0:52:25 | |
known as motion capture. | 0:52:25 | 0:52:27 | |
Cameras and sensors record tiny movements | 0:52:27 | 0:52:30 | |
of my hands and arms. | 0:52:30 | 0:52:32 | |
That's my thumbs up. | 0:52:33 | 0:52:36 | |
Hello! | 0:52:36 | 0:52:38 | |
These movements can be recorded | 0:52:38 | 0:52:39 | |
and copied exactly by the robotic arms, | 0:52:39 | 0:52:42 | |
time and time again. | 0:52:42 | 0:52:44 | |
In this way, Tim has programmed them | 0:52:44 | 0:52:46 | |
to cook precisely the way that he does. | 0:52:46 | 0:52:49 | |
But before I hang up my apron and look for a new job, | 0:52:49 | 0:52:52 | |
I want to see just how well Robochef can make the only dish | 0:52:52 | 0:52:55 | |
it knows so far - a soup called crab bisque. | 0:52:55 | 0:52:59 | |
Straight away, there's a problem. | 0:53:02 | 0:53:04 | |
Like most celebrity chefs, | 0:53:04 | 0:53:05 | |
Robochef doesn't really do kitchen preparation. | 0:53:05 | 0:53:09 | |
Basically the robot, because it has no senses and no eye, | 0:53:10 | 0:53:14 | |
it can't...it can't manipulate raw ingredients | 0:53:14 | 0:53:17 | |
because there's too many subtle variations in them. | 0:53:17 | 0:53:19 | |
As in the sense that it couldn't know | 0:53:19 | 0:53:21 | |
-that one onion's a large onion, one's small, OK. -Right. | 0:53:21 | 0:53:24 | |
It doesn't know size and shape, | 0:53:24 | 0:53:25 | |
doesn't know how to deal with things like a peel which are always | 0:53:25 | 0:53:28 | |
a little bit different. | 0:53:28 | 0:53:29 | |
I love the fact you've given me the worst knife in the world, you know. | 0:53:29 | 0:53:32 | |
I mean, you could have got the robot to do it, to be honest. | 0:53:32 | 0:53:35 | |
Prepped and measured, the ingredients then have to be put | 0:53:37 | 0:53:39 | |
in exactly the right spot so the robot can find them. | 0:53:39 | 0:53:44 | |
Everything is in place, it's good to go. | 0:53:44 | 0:53:47 | |
So that's sea salt and black pepper. | 0:53:47 | 0:53:50 | |
So it's adding the seasoning. Right, OK. | 0:53:50 | 0:53:52 | |
The tomatoes go in. | 0:53:52 | 0:53:53 | |
What would happen now if I put the...took the pan off the heat? | 0:53:54 | 0:53:58 | |
Oh, it would carry on as if nothing happened basically. | 0:53:59 | 0:54:02 | |
Oh, really? The arms wouldn't react to that? | 0:54:02 | 0:54:04 | |
Their timing would think that the pan was still on there. | 0:54:04 | 0:54:07 | |
-It would pour cream onto the surface of the hob. -Right, OK. | 0:54:07 | 0:54:10 | |
The inventors hope that one day soon you will be able to sit | 0:54:12 | 0:54:15 | |
in your kitchen and tell the robot which celebrity chef | 0:54:15 | 0:54:18 | |
you'd like to have cooking for you tonight. | 0:54:18 | 0:54:21 | |
After 15 minutes of stirring, pouring, sweating | 0:54:23 | 0:54:25 | |
and more stirring, my crab bisque is ready. | 0:54:25 | 0:54:29 | |
There you go - crab bisque. | 0:54:32 | 0:54:34 | |
THEY LAUGH | 0:54:34 | 0:54:36 | |
I hope you like it. | 0:54:36 | 0:54:38 | |
If not, blame the robot. | 0:54:38 | 0:54:39 | |
It's very nice. | 0:54:43 | 0:54:45 | |
-It's lovely actually. -Thank you. | 0:54:45 | 0:54:46 | |
Well, not you, you did nothing! | 0:54:46 | 0:54:48 | |
That really was a delicious bisque | 0:54:51 | 0:54:52 | |
and made by the robot, quite incredible. | 0:54:52 | 0:54:55 | |
But it comes with a hefty price-tag. | 0:54:56 | 0:54:58 | |
When it goes on sale, it will cost a staggering £50,000. | 0:54:59 | 0:55:05 | |
Oh, oh... | 0:55:05 | 0:55:07 | |
You could get a real chef to come and live with you for that money | 0:55:07 | 0:55:10 | |
and they'd even chop their own veg. | 0:55:10 | 0:55:12 | |
We're back at Ocado. This warehouse alone will deliver | 0:55:32 | 0:55:36 | |
one million individual products every day. | 0:55:36 | 0:55:39 | |
This may just make you pine for your corner shop | 0:55:41 | 0:55:44 | |
and your local greengrocer, | 0:55:44 | 0:55:46 | |
but increasingly this is how we're going to be doing our shopping | 0:55:46 | 0:55:48 | |
where it's all about process and scale and efficiencies. | 0:55:48 | 0:55:53 | |
But there is a human element. | 0:55:53 | 0:55:54 | |
If you live somewhere in the Midlands, | 0:55:54 | 0:55:56 | |
the Birmingham area and you recently received a package | 0:55:56 | 0:55:59 | |
from these people that was missing a packet of biscuits, | 0:55:59 | 0:56:02 | |
don't shout at the guy. That was me. | 0:56:02 | 0:56:04 | |
I pressed the button and the thing just scooted off so, | 0:56:04 | 0:56:07 | |
you know, my bad... I owe you some biscuits, OK. | 0:56:07 | 0:56:09 | |
I'll see you right for the biscuits, right? | 0:56:09 | 0:56:11 | |
That's all from us this week. | 0:56:11 | 0:56:13 | |
Next week... | 0:56:13 | 0:56:15 | |
Shini looks at how mushrooms can suck the calories | 0:56:15 | 0:56:18 | |
out of your bar of chocolate... | 0:56:18 | 0:56:19 | |
Gosh, I never knew mushrooms were so clever. | 0:56:19 | 0:56:22 | |
Chris investigates how to grow veg without sun, rain or soil. | 0:56:22 | 0:56:26 | |
Angela discovers that tomorrow's pasta could be printed by machine. | 0:56:28 | 0:56:33 | |
I don't know what my grandmother would say about this, Jon Carlo. | 0:56:33 | 0:56:35 | |
-She would be mad about this, I'm sure. -She would be very mad. | 0:56:35 | 0:56:38 | |
And I'll be visiting the only place in the world | 0:56:41 | 0:56:43 | |
that can turn these tiny specks | 0:56:43 | 0:56:46 | |
into thousands of tonnes of high protein food. | 0:56:46 | 0:56:49 | |
But before we go, I know many of you probably couldn't stomach | 0:56:54 | 0:56:57 | |
eating insects, but could you drink them? | 0:56:57 | 0:57:00 | |
This gin is made with the essence of 62 woodland ants. | 0:57:00 | 0:57:04 | |
And the reason they choose ants is, when ants want to defend themselves, | 0:57:04 | 0:57:08 | |
they spray an acid called Formic acid from their abdomen. | 0:57:08 | 0:57:11 | |
But if you take that acid and put it into gin, | 0:57:11 | 0:57:14 | |
apparently it offers a very citrusy taste. | 0:57:14 | 0:57:17 | |
Here goes... | 0:57:17 | 0:57:18 | |
To the ants! | 0:57:18 | 0:57:20 | |
Yeah, or you could put in a lemon, you know. | 0:57:25 | 0:57:28 |