Browse content similar to Lettuce Entertain You. Check below for episodes and series from the same categories and more!
Line | From | To | |
---|---|---|---|
We are in the mood for pink herbs and green motors. | :00:00. | :00:38. | |
This is salad, grown the old-fashioned way. | :00:39. | :00:44. | |
You know, in shipping containers, under LED lights, without soil, | :00:45. | :00:47. | |
in an optimised water and nutrient mix. | :00:48. | :00:50. | |
As Farmer Spock called it, good old hydroponics. | :00:51. | :00:53. | |
In all seriousness, it's been suggested that the type of intense | :00:54. | :00:56. | |
farming going on here at Local Roots in Los Angeles could help | :00:57. | :01:00. | |
solve the world's food problems in years to come. | :01:01. | :01:07. | |
Transport costs can be reduced by growing plants | :01:08. | :01:10. | |
wherever they are needed, even in areas of famine where | :01:11. | :01:12. | |
You get higher volumes and many more crop cycles during the year, too. | :01:13. | :01:20. | |
Lettuce can be grown in 30 days instead of up to 90 | :01:21. | :01:23. | |
outdoors, and a new crop can be grown immediately. | :01:24. | :01:25. | |
All in all, one of these containers yields the same as five acres | :01:26. | :01:29. | |
It's very similar to the strawberry farm that we saw in Paris | :01:30. | :01:34. | |
in the spring and in Miyagi in Japan in 2015, where the land had been | :01:35. | :01:39. | |
But this project has much bigger ambitions and this one is also | :01:40. | :01:46. | |
using artificial intelligence to make some quite unusual tweaks. | :01:47. | :01:54. | |
But before we talk about the vegetables of the future, | :01:55. | :01:57. | |
we are off to San Francisco where Kat Hawkins has been looking | :01:58. | :02:02. | |
I've come to this lab in the heart of Silicon Valley | :02:03. | :02:09. | |
They claim to have invented the food of the future - | :02:10. | :02:14. | |
a completely meatless meat made entirely of plants. | :02:15. | :02:16. | |
It's actually remarkably important to get that state of mind | :02:17. | :02:23. | |
perspective but actually it's also useful for interpreting | :02:24. | :02:26. | |
The aim is to reverse engineer the flavour and texture of meat | :02:27. | :02:35. | |
And as someone who very much enjoys their meat tasting like meat, | :02:36. | :02:42. | |
I wanted to find out how they're doing it. | :02:43. | :02:45. | |
What is it about the flavour of meat that makes it so damn delicious? | :02:46. | :02:49. | |
Why is it so agreeable, what is it that triggers your mind | :02:50. | :02:52. | |
There is a lot that goes into that and it turns out that flavour | :02:53. | :02:58. | |
is about 75 or 80% aroma and about 20 or 25% taste. | :02:59. | :03:03. | |
Impossible Foods found that the key ingredient that gives | :03:04. | :03:10. | |
meat its characteristic irony taste is heme, a molecule found | :03:11. | :03:14. | |
in most living things and especially in animal muscle. | :03:15. | :03:18. | |
So this is your magic ingredient, right? | :03:19. | :03:26. | |
And it provides the explosion of flavour you get that makes | :03:27. | :03:31. | |
the difference between white meat chicken with a beefburger. | :03:32. | :03:37. | |
The company has recently flipped the switch on its meatless | :03:38. | :03:41. | |
meat-packing factory as it ramps up production. | :03:42. | :03:45. | |
They will eventually make 4 million burgers a month, | :03:46. | :03:47. | |
and the next aim is to move into chicken, pork and lamb. | :03:48. | :03:50. | |
But it's one thing being a scientist who's enthralled by food tech | :03:51. | :03:56. | |
and another to be a chef, using the ingredients produced | :03:57. | :03:59. | |
I think we eat way too much meat in general. | :04:00. | :04:04. | |
So I think this is a way to be as close as possible to how | :04:05. | :04:08. | |
The Impossible burger is now the only one Rocco has on his menu | :04:09. | :04:16. | |
It seems like at this stage it might be a novelty for Silicon Valley | :04:17. | :04:22. | |
diners with money to spend but of course, as always, | :04:23. | :04:24. | |
It tastes like mushrooms, but I know there's no mushrooms in there. | :04:25. | :04:53. | |
But it doesn't taste quite like meat to me. | :04:54. | :04:59. | |
Yes, it's a little bit leaner, as a meat. | :05:00. | :05:04. | |
But it looks like it - it's got that kind of umami flavour | :05:05. | :05:10. | |
It tasted good as I was eating it but afterwards it left a slightly | :05:11. | :05:21. | |
strange taste in my mouth - very strong, very irony. | :05:22. | :05:24. | |
Still, it's healthier than meat, and has zero cholesterol | :05:25. | :05:26. | |
What comes across talking to Rocco, though, is how important | :05:27. | :05:31. | |
it is for his customers that the flavour is close to meat | :05:32. | :05:36. | |
But what if you could serve actual animal flesh without a single | :05:37. | :05:40. | |
That is what several companies, including this small tech start-up | :05:41. | :05:46. | |
in the heart of Silicon Valley, are working on. | :05:47. | :05:48. | |
They plan to grow actual fish from stem cells. | :05:49. | :05:55. | |
It might sound like an unnerving prospect | :05:56. | :05:56. | |
Fish consumption is demanding, fish demand is rising, | :05:57. | :06:04. | |
52% of all fisheries are fully exploited. | :06:05. | :06:09. | |
25% above that are in collapse, they are overextended. | :06:10. | :06:11. | |
So we only have 23% of the world's fisheries left that we can use | :06:12. | :06:15. | |
So if we still want to eat fish at the rate that we're eating it, | :06:16. | :06:21. | |
Finless Foods takes a small sample of cells from real | :06:22. | :06:25. | |
One cell can theoretically become one tonne of fish meat | :06:26. | :06:30. | |
We'll be on the market in three years with products that | :06:31. | :06:35. | |
are new versions of fish that people haven't had before and in five | :06:36. | :06:39. | |
or six years we'll have steaks and filets like the fish that | :06:40. | :06:42. | |
you currently eat at the supermarket, just like what's | :06:43. | :06:45. | |
inside of the fish that you'd normally see in the ocean. | :06:46. | :06:48. | |
And they're not the only company working on what some | :06:49. | :06:50. | |
Just this week, Hampton Creek claimed they will hit the stores | :06:51. | :06:54. | |
And around the corner at Memphis Meats, they've already | :06:55. | :07:01. | |
produced fried chicken and meatballs from stem cells. | :07:02. | :07:03. | |
But at $18,000 for a pound of beef, there's a long way to go. | :07:04. | :07:08. | |
Scaling up will mean finding a new medium to help | :07:09. | :07:11. | |
Currently, the blood of calf foetuses is used, | :07:12. | :07:16. | |
which is extensive and of course, if you don't want to hurt animals, | :07:17. | :07:20. | |
When I come into a room at a conference, I can see | :07:21. | :07:32. | |
in people's eyes that this is the next big thing, | :07:33. | :07:35. | |
a big evil corporation going to put things in my food that | :07:36. | :07:38. | |
And I think that is justified, in a way. | :07:39. | :07:42. | |
People have been given things into their food supply | :07:43. | :07:48. | |
People have a right to be wary of us. | :07:49. | :07:52. | |
We need to talk to people and really make them | :07:53. | :07:54. | |
understand that we are people, we are environmentalists. | :07:55. | :07:56. | |
We are all trying to do this together. | :07:57. | :08:08. | |
With the population due to increase to 9.7 billion by 2050, | :08:09. | :08:11. | |
many people feel current approaches to food production | :08:12. | :08:13. | |
Cultured meat promises to reduce environmental impacts and meat looks | :08:14. | :08:16. | |
set to be the latest thing to be given the Silicon Valley overhaul. | :08:17. | :08:20. | |
Much like we expect from our phones, from our cars, that it | :08:21. | :08:24. | |
will be better, cheaper, faster, safer, year by year, | :08:25. | :08:26. | |
we should expect the same thing from our food. | :08:27. | :08:30. | |
But once you start thinking about food, a cow, as a pure | :08:31. | :08:34. | |
piece of technology, and you apply those same | :08:35. | :08:38. | |
technological insights we use elsewhere in our lives, | :08:39. | :08:41. | |
you can start really thinking about what food should be, | :08:42. | :08:44. | |
I think I'll stick to the salad for the moment. | :08:45. | :08:49. | |
Which is lucky, because I'm surrounded by the stuff. | :08:50. | :08:53. | |
The thing that really hits you inside one of these | :08:54. | :08:55. | |
It's just lovely, all this concentrated fresh lettuce. | :08:56. | :09:00. | |
And you don't even get this, I don't think, in an open-air field. | :09:01. | :09:04. | |
I'm inside what is called a food computer, where every aspect | :09:05. | :09:14. | |
of the plant's growth cycle - the temperature, nutrient | :09:15. | :09:19. | |
mix, humidity and light is monitored and controlled. | :09:20. | :09:23. | |
This kind of computer-controlled hydroponics is allowing food | :09:24. | :09:25. | |
scientists to not just replicate but improve on Mother | :09:26. | :09:28. | |
So every plant that we grow has a finely-tuned growing algorithm | :09:29. | :09:37. | |
to optimise its growth, its yield and its flavour profiles | :09:38. | :09:40. | |
And that doesn't just mean more or bigger plants, but that experts | :09:41. | :09:48. | |
in Artificial Intelligence can tweak plants in ways nature can't. | :09:49. | :09:57. | |
By doing so we can surely improve on plants without messing with the DNA. | :09:58. | :10:03. | |
We are not changing the genetic make up of the plant. | :10:04. | :10:06. | |
Up in San Francisco, this man has been using AI | :10:07. | :10:15. | |
And he has worked out how to improve the herb basil. | :10:16. | :10:25. | |
During a certain period of growth, if we show them a spectrum of light | :10:26. | :10:29. | |
24/7, then the volatiles for taste in the plant will go up. | :10:30. | :10:41. | |
Did a chef really come and say that he wants his basil | :10:42. | :10:44. | |
We had a couple of chefs come in and sample basil | :10:45. | :10:49. | |
And it increases the spiciness, blue light applied to basil. | :10:50. | :10:55. | |
So you can say, what kind of basil would you like to buy, and how spicy | :10:56. | :10:59. | |
It's exciting to ask these questions that even a 30-year veteran | :11:00. | :11:08. | |
of the culinary industry has not been asked before. | :11:09. | :11:10. | |
Not only does each variety get its own unique growing | :11:11. | :11:13. | |
conditions but artificial intelligence and computer vision | :11:14. | :11:15. | |
are monitoring the plants, looking out for and treating any | :11:16. | :11:17. | |
Local Roots hopes to place between 20 and 50 of its so-called | :11:18. | :11:24. | |
'terrafarms' right next to supermarkets' local | :11:25. | :11:27. | |
It means the veg won't have to travel so far and it will be | :11:28. | :11:32. | |
I've always needed a dressing on my salad because I thought it | :11:33. | :11:40. | |
tasted quite bland without it, but this is really full of flavour. | :11:41. | :11:43. | |
I could even eat an entire bowl of this without any dressing. | :11:44. | :11:50. | |
But some researchers don't like the idea | :11:51. | :11:55. | |
of individual companies doing research by themselves. | :11:56. | :12:00. | |
Putting life in a box is incredibly complex. | :12:01. | :12:02. | |
It requires biology as much as chemistry, as much as plant | :12:03. | :12:06. | |
And so right now it's being tackled by a lot of start-ups and it's hard | :12:07. | :12:19. | |
for those start-ups to have such a multidisciplinary approach. | :12:20. | :12:22. | |
This is why all of our work is open sourced - | :12:23. | :12:25. | |
the hardware, software - so we can get people thinking | :12:26. | :12:28. | |
on the issues and we can ask them for advice. | :12:29. | :12:31. | |
And we are not stymied by intellectual property. | :12:32. | :12:35. | |
At MIT's media lab, the Open Agricultural Initiative, | :12:36. | :12:37. | |
or OpenAg, wants to create a worldwide collection | :12:38. | :12:40. | |
One of the things that we've invented here we call the personal | :12:41. | :12:45. | |
food computer and it's like a hacker kit for plants. | :12:46. | :12:48. | |
What we've done is distributed all the plans, all the materials, | :12:49. | :12:52. | |
We now have a community of over 40 countries, over 1000 people. | :12:53. | :13:03. | |
The great thing is that their experiences are being | :13:04. | :13:05. | |
Because to use any of our advanced tools, like machine learning or AI, | :13:06. | :13:11. | |
Artificial intelligence can look for patterns among these data points | :13:12. | :13:17. | |
which are the results of thousands of experiments and the more | :13:18. | :13:20. | |
wide-ranging those experiments, the better. | :13:21. | :13:25. | |
We might learn inside of a food computer what set of climate | :13:26. | :13:28. | |
attributes causes the best expression of protein in a snow pea. | :13:29. | :13:32. | |
Now we might say, hey, where in the world are these collections | :13:33. | :13:35. | |
And then we should plant that genetics, those | :13:36. | :13:39. | |
So not only might food computers improve on nature | :13:40. | :13:48. | |
but they could also teach us more about how to get the best out | :13:49. | :13:52. | |
It has been a week when suspicions were raised a global cyber attack | :13:53. | :14:06. | |
may have been caused by accountancy software. | :14:07. | :14:12. | |
Security researchers suspect that a corrupted update to some Ukrainian | :14:13. | :14:15. | |
accountancy software may have been the cause of the global infection, | :14:16. | :14:18. | |
although the company behind the software denies these claims. | :14:19. | :14:23. | |
Plus: A team at MIT has created drones that can drive and fly. | :14:24. | :14:31. | |
Although these drones are diminutive, one day | :14:32. | :14:33. | |
they could be the foundation for technology which facilitates | :14:34. | :14:36. | |
And it was the week that researchers at a university in Madrid revealed | :14:37. | :14:43. | |
they have been teaching a robot to iron clothes. | :14:44. | :14:48. | |
Teo's designers hope that eventually it will be able to perform a whole | :14:49. | :14:51. | |
Hopefully a bit quicker than this, though. | :14:52. | :15:01. | |
Famously, they say dedication is what you need if you want | :15:02. | :15:04. | |
It is also what you need if you want to recreate that teaser | :15:05. | :15:09. | |
trailer for the next Star Wars film, The Last Jedi, on a 30-year-old | :15:10. | :15:12. | |
That is exactly what New York artist Wahyu Ichwandardi has done, | :15:13. | :15:16. | |
hand-drawing each frame with an old-school touch tablet, | :15:17. | :15:18. | |
saving them all on 48 floppy disks - remember them? | :15:19. | :15:24. | |
And then transferring them to a contemporary computer | :15:25. | :15:26. | |
Despite our quest for new ways of creating more food, | :15:27. | :15:44. | |
we do actually have a huge issue with food waste. | :15:45. | :15:50. | |
In the UK alone, in 2015, consumers threw away ?13 billion | :15:51. | :15:53. | |
worth of food that could have been eaten. | :15:54. | :16:03. | |
But we are getting more creative with ways to solve the problem. | :16:04. | :16:06. | |
This community fridge in London's Brixton allows | :16:07. | :16:08. | |
businesses, or indeed anyone, to drop off or help themselves | :16:09. | :16:11. | |
But big companies like Sainsbury's are taking on the challenge as well. | :16:12. | :16:25. | |
This week, various stores are trialling some new packaging | :16:26. | :16:28. | |
With 1.9 million slices thrown away each day, | :16:29. | :16:31. | |
the supermarket want to find a way of being able to reassure customers | :16:32. | :16:34. | |
once they are at home and they have opened the product. | :16:35. | :16:44. | |
Because sometimes people throw it away, not remembering | :16:45. | :16:46. | |
when they opened it, so they don't know whether it is fresh or not. | :16:47. | :16:50. | |
But the underneath of this piece of smart plastic is sensitive to air | :16:51. | :16:53. | |
and temperature, so it will start to react as soon as the package | :16:54. | :16:57. | |
It will turn from yellow round to purple when it is telling | :16:58. | :17:01. | |
you the meat is not good to eat anymore. | :17:02. | :17:03. | |
Some other companies have focused on preserving food longer. | :17:04. | :17:06. | |
Edipeel is an invisible, natural, plant-based coating that aims | :17:07. | :17:08. | |
It has recently been trialled by some farmers in the US. | :17:09. | :17:13. | |
This is also this fresh filter paper, which aims to limit the gas | :17:14. | :17:16. | |
It has progressed to consumer packaging in supply chains, | :17:17. | :17:20. | |
and is now even being used in restaurants. | :17:21. | :17:24. | |
Of course, for eateries, buying the exact amount of produce | :17:25. | :17:27. | |
So, while it won't help for financial loss, there are some | :17:28. | :17:31. | |
It is late afternoon in the office, and I am feeling a bit peckish, | :17:32. | :17:41. | |
so I sneaked out to get something to eat. | :17:42. | :17:44. | |
Too Good To Go will put restaurant leftovers to good use, | :17:45. | :17:52. | |
while also giving you takeaway for as little as ?2. | :17:53. | :17:54. | |
What could I go for now, mid-afternoon? | :17:55. | :17:56. | |
The one issue here is that you can't actually be fussy | :17:57. | :18:04. | |
You don't know what you are going to be getting. | :18:05. | :18:08. | |
So going for juice, well, in my view it can't really | :18:09. | :18:11. | |
OK, I get it may not be easy to see the bargain factor with a juice, | :18:12. | :18:17. | |
I am just here to collect my juice, please. | :18:18. | :18:22. | |
But, of course, it is not just restaurants who can end up with more | :18:23. | :18:26. | |
If you have food in your house that you want to avoid wasting, | :18:27. | :18:30. | |
or you want to claim some from the neighbours, | :18:31. | :18:33. | |
Olio searches your local area to find food being given away, | :18:34. | :18:38. | |
and you can post what you have to offer. | :18:39. | :18:40. | |
OK, I get that this isn't everybody's cup of tea, | :18:41. | :18:43. | |
but this location-based app will show you everyone around | :18:44. | :18:46. | |
you who is trying to donate unwanted food. | :18:47. | :18:50. | |
So, on my way home from work, there is some hummus, | :18:51. | :18:53. | |
That seems to be left over from a shop, actually. | :18:54. | :18:57. | |
Somebody is offering a frozen banana, which does kind of seem | :18:58. | :19:00. | |
And of course, in true sharing-economy fashion, | :19:01. | :19:10. | |
The most important factor here is that we learn | :19:11. | :19:18. | |
But of course, the easier that is made for us to do, | :19:19. | :19:26. | |
So, throughout the programme, we have been looking at technology | :19:27. | :19:41. | |
But how about food that creates technology? | :19:42. | :19:48. | |
Sounds crazy, I know, but Dan Simmons has been to Holland | :19:49. | :19:52. | |
This is a small twist on a classical Dutch dish. | :19:53. | :20:03. | |
Yes, this year's Dutch MasterChef winner has baked a car. | :20:04. | :20:40. | |
This is sports steering wheel, firm suspension on the seats? | :20:41. | :20:43. | |
Is it right to say that nobody has driven this car before? | :20:44. | :20:46. | |
I will take good care of it, I will take good care of it. | :20:47. | :20:51. | |
Most of Lina is organic, including these almost-edible panels | :20:52. | :20:53. | |
made from sugar beet, sandwiched between coatings | :20:54. | :20:55. | |
of natural flax, mixed with bio-plastic. | :20:56. | :21:06. | |
So we are just going to reverse this back down the track. | :21:07. | :21:10. | |
I have got my foot fully to the floor now. | :21:11. | :21:12. | |
It is about four times more efficient with its energy | :21:13. | :21:16. | |
I knew there was a reason to pick this car. | :21:17. | :21:31. | |
We cooked up the flax ourselves, and then we just started trialling. | :21:32. | :21:34. | |
And we had to do a lot of tests, fresh material, find the boundaries | :21:35. | :21:38. | |
and the limits to the material, and eventually we came up with - | :21:39. | :21:41. | |
And that is what we have used in Lina. | :21:42. | :21:51. | |
In fairness, it is a different kind of performance that Lina offers. | :21:52. | :22:09. | |
The team says cooking this car uses about 20% of the energy that | :22:10. | :22:13. | |
aluminium or carbon fibre panels take to produce, | :22:14. | :22:15. | |
and this week, Lina passed a road safety test. | :22:16. | :22:17. | |
She is expected out on public roads by the end of July. | :22:18. | :22:25. | |
So I would not make a statement that currently the automotive industry | :22:26. | :22:29. | |
is thinking about the portfolio of making biodegradable cars, | :22:30. | :22:31. | |
but I'm sure they are thinking about the circular economy. | :22:32. | :22:34. | |
They are thinking about how can they take apart the current cars | :22:35. | :22:37. | |
and the future cars, and to reuse them to build new cars, | :22:38. | :22:40. | |
so to really make a circular, green economy. | :22:41. | :22:45. | |
To make Lina a lean machine, the team have taken a sort | :22:46. | :22:48. | |
OK, we don't have the modern-day luxuries, like maybe a glove | :22:49. | :22:58. | |
compartment, or somewhere to place my coffee. | :22:59. | :23:01. | |
So I can't wind down the windows in this model? | :23:02. | :23:08. | |
And the key advantage of it is not just in driving, | :23:09. | :23:27. | |
but when you park it for the last time, a lot of this car | :23:28. | :23:30. | |
Now, the electric engine, batteries and suspension are not | :23:31. | :23:37. | |
organic, but the team hope Lina will inspire carmakers to think | :23:38. | :23:40. | |
beyond electric, to make our cars even more eco-friendly. | :23:41. | :23:51. | |
That was Dan, in the Netherlands, and that is it from my | :23:52. | :23:55. | |
You can follow us on Twitter, @BBCClick. | :23:56. | :23:57. | |
Thanks for watching, and we will see you soon. | :23:58. | :24:25. | |
We've got more of that hot and humid weather coming up | :24:26. | :24:31. | |
Yesterday we had temperatures of 30 degrees in both Heathrow and Wisley | :24:32. | :24:35. | |
in Surrey, and we're going to see temperatures again getting to those | :24:36. | :24:38. | |
kind of levels later in the afternoon. | :24:39. | :24:41. |