This computer will grow your food in the future

CEFR: B2
Show full transcript

Food crisis. It's in the news every day. But what is it?

Some places in the world, it's too little food. Maybe too much. Other places, GMO is saving the world.

Maybe GMO is the problem. too much agricultural runoff creating bad oceans, toxic oceans, attenuation of nutrition. They go on and on and I find the current climate of this discussion incredibly disempowering. So, how do we bring that to something that we understand?

How is this apple food crisis? You've all eaten an apple in the last week, I'm sure. How old do you think it was from when it was picked? two weeks, two months, 11 months, the average age of an apple in a grocery store in the United States.

And I don't expect it to be much different in Europe or anywhere else in the world. We picked them, we put them in cold storage, we gas the cold storage. There's actually documented proof of workers trying to go into these environments to retrieve an apple and dying because the atmosphere that they slow down the process of the apple is also toxic to humans.

How is it that none of you know this? Why didn't I know this? 90% of the quality of that apple, all the antioxidants are gone by the time we get it.

It's basically a little ball of sugar. How did we get it so information poor? And how can we do better?

I think what's missing is a platform. I know platforms. I know computers.

They put me on the internet when I was young. I did very weird things on this platform. But I met people and I could express myself.

How do you express yourself in food? If we had a platform, we might feel empowered to question what if. For me, I question what if climate was democratic.

So this is a map of climate in the world. The most productive areas in green, the least productive in red. They shift and they change and Californian farmers now become Mexican farmers.

China picks up land in Brazil to grow better food. and we're slave to climate. What if each country had its own productive climate? What would that change about how we live?

What would that change about quality of life and nutrition? Last generation's problem was we need more food and we need it cheap. Welcome to your global farm.

We built a huge analog farm. All these traces, these are cars, planes, trains, and automobiles. It's a miracle that we feed 7 billion people with just a few of us involved in the production of food.

What if we built a digital farm, a digital world farm? What if you could take this apple, digitize it somehow, send it through particles in the air, and reconstitute it on the other side? What if going through some of these quotes, you know, they inspire me to do what I do.

First one, Japanese farming has no youth, no water, no land, and no future. That's what I landed to the day that I went to Manami Sanraku, one stop south of Fukushima after the disaster. The kids have headed to Sai in Tokyo.

The land is contaminated. They already import 70% of their own food, but it's not unique to Japan. 2% of the American population is involved in farming.

What good answer comes from 2% of any population? As we go around the world, 50% of the African population is under 18. 80% don't want to be farmers.

Farming is hard. The life of a small shareholder farmer is miserable. They go into the city.

In India, farmers families not being able to have basic access to utilities. more farmer suicides this year and the previous 10 before that. It's uncomfortable to talk about where are they going into the city. No young people and everyone's headed in.

So, how do we build this platform that inspires the youth? Welcome to the new tractor, right? This is my combine.

A number of years ago now, I went to Bed Bath and Beyond and Home Depot and I started hacking and I built silly things and I made plants dance and I attached them to my computer and I killed them all a lot. Uh, and I eventually got them to survive and I created one of the most intimate relationships I've ever had in my life because I was learning the language of plants. So, I wanted to make it bigger.

They said, "Knock yourself out, kid. Here's an old electronics room that nobody wants. What can you do?

With my team, we built a farm inside of the media lab, a place historically known, not for anything about biology, but everything about digital life. Inside of this 60 square ft, we produce enough food to feed about 300 people once a month. Not a lot of food and there's a lot of interesting technology in there.

But the most interesting thing, beautiful white roots, deep green colors, and a monthly harvest. Is this a new cafeteria? Is this a new retail experience?

Is there a new grocery store? I can tell you one thing for sure. This is the first time anybody in the media lab ripped the roots off of anything.

We get our salad in bags. There's nothing wrong with that. But what happens when you have an image-based processing expert, a data scientist, a roboticist ripping roots off and thinking, "Huh, I know something about I could make this happen.

I want to try." In that process, we would bring the plants out and then we would take some back to the lab because if you grew it, you don't throw it away. It's kind of precious to you. And I have this weird tongue now because I'm afraid to let anybody eat anything until I've ate it first because I want it to be good.

So I eat lettuce every day and I can tell the pH of a lettuce within 0.1. I'm like, "No, that's 6.1. No, no, you can't eat it today." This lettuce that day was hyper sweet.

It was hyper sweet because the plant had been stressed and it created a chemical reaction in the plant to protect itself. So, I'm not going to die and the plant's not going to die. Tastes sweet to me.

Technologists falling backwards into plant physiology. So, we thought other people needed to be able to try this. We want to see what people can create.

So, we conceived of a lab that could be shipped anywhere and then we built it. So, on the facade of the media lab is my lab that has about 30 points of sensing per plant. So if you know about the genome or genetics, this is the phenome right the phenomena.

When you say I like the strawberries from Mexico, you really like the strawberries from the climate that produce the expression that you like. So if you're coding climate, this much CO2, this much O2 creates a recipe. You're coding the expression of that plant, the nutrition of that plant, the size of that plant, the shape, the color, the texture.

We need data. So, we put a bunch of sensors in there to tell us what's going on. If you think of your house plants, and you look at your house plant, you're super sad because you're like, "Why are you dying?

Won't you talk to me?" Farmers develop the most beautiful, fortuneelling eyes by the time they're in their late and . They can tell you when you see that plant dying that it's a nitrogen deficiency, a calcium deficiency, or it needs more humidity. Those beautiful eyes are not being passed down.

These are eyes in the cloud of a farmer. We trend those data points over time. We correlate those data points to individual plants.

These are all the broccoli in my lab that day by IP address. We have IP addressable broccoli. So if that's not weird enough, you can click one and you get a plant profile.

And what this tells you is downloadable progress on that plant. But not like you'd think. It's not just when it's ready.

When does it achieve the nutrition that I need? When does it achieve the taste that I desire? Is it getting too much water?

Uh, is it getting too much sun? Alerts. It can talk to me.

It's conversant. We have a language. I think I think of that as the first user on the plant Facebook, right?

That's a plant profile. When that plant will start making friends, it will, and I mean it, it will make friends with other plants that use less nitrogen, more phosphorus, less potassium. We are going to learn about a complexity that we can only guess at now.

And they may not friend us back. I don't know. They might friend us back.

It depends on how we act. So this is my lab now. It's a little bit more systematized.

My background is designing data centers and hospitals of all things. So I know a little bit about creating a control environment. And so inside of this environment, we're experimenting with all kinds of things.

You know, this process aeroponics, it was developed by NASA for space station for reducing the amount of water they send into space. What it really does is give the plant exactly what it wants. Water, minerals, and oxygen.

Roots are not that complicated. So when you give them that, you get this amazing expression. It's like the plant has two hearts.

And because it has two hearts, it grows four or five times faster, right? It's a perfect world. We've gone a long way into technology and seed for an adverse world.

And we're going to continue to do that. But we're going to have a new tool, too, which is perfect world. So, we've grown all kinds of things.

These tomatoes hadn't been in commercial production for 150 years. Do you know that we have rare and ancient seed banks? Banks of seed.

It's amazing. They have germ plasm alive and things that you've never eaten. I'm the only person in this room that's eaten that kind of tomato.

Problem is, it was a sauce tomato and we don't know how to cook. So, we just ate a sauce tomato, which is not that great. But, we've done things with protein.

We've grown all kinds of things. We've grown humans. Maybe you could, but we didn't.

But what we realized is the tool was too big. It was too expensive. I was starting to put them around the world, and they were about $100,000.

So finding somebody with 100 grand in their back pocket isn't so easy. So we wanted to make a small one. So this project was actually one of my students mechanical engineering undergraduates, Camille.

So Camille and I and my team, we iterated all summer how to make it cheaper, how to make it work better, how to make it so other people could make it. And then we dropped them off in schools 7th through 11th grade. And if you want to be humbled, try to teach a kid something.

So I went into the school and I said, "Set it to 65% humidity." And seventh grader said, 'What's humidity? And I said, 'Oh, it's water and air. He said, 'There's no water and air.

You're an idiot.' And I was like, all right, all right, don't trust me. Actually, don't trust me, right? Set it to 100.

He sets it to 100, and what happens? It starts to condense, make a fog, and eventually drip. And he says, oh, humidity is rain.

Why didn't you just tell me that? We've created an interface for this that's much like a game. So they have a 3D environment.

They can log into it anywhere in the world on their smartphone, on their tablet. They have different parts of the bots, the physical, the the sensors. They select recipes that have been created by other kids anywhere in the world.

They select and activate that recipe. They plant a seedling. While it's growing, they make changes.

They're like, "Why does a plant need CO2 anyway? Isn't CO2 bad? It kills people." Crank up CO2, plant dies.

Or crank down CO2, plant does very well. harvest plant and you've created a new digital recipe. It's an iterative design and development and exploration process. They can download then all of the data about that new plant that they developed or the new digital recipe and what did it do?

Was it was it better? Was it worse? Imagine these as little cores of processing.

We're going to learn so much. So, here's one of the the food computers as we call them in a school in 3 weeks time, right? This is three weeks of growth, but more importantly was the first time that this kid ever thought that he could be a farmer or that he would want to be a farmer.

So, we've open sourced all of this. It's all online. Go home, try to build your first food computer.

It's going to be difficult. I'm just telling you, we're in the beginning, but it's all there. It's very important to me that this is easily accessible.

We're going to keep making it more. So these are farmers, electrical engineer, mechanical engineer, environmental engineer, computer scientists, plant scientists, economists, urban planners on one platform doing what they're good at. But we got a little too big.

I'm proud to announce this is my new facility that I'm just starting. This warehouse could be anywhere. That's why I chose it.

And inside of this warehouse, we're going to build something kind of like this. These exist right now. Take a look at it.

These exist too. One grows greens, one grows Ebola vaccine. Pretty amazing that plants and this DARPA Grand Challenge winner is one of the reasons we're getting ahead of Ebola.

The plants are producing the protein that's Ebola resistant. So, pharmaceuticals, neutruticals, all the way down to lettuce. But these two things look nothing alike.

And that's where I am with my field. Everything is different. We're in that weird we're all right stage and it's like here's my black box.

No, buy mine. No, no, no, no. I've got intellectual property that's totally valuable.

Don't buy his, buy mine. And the reality is we're just at the beginning. In a time when society is shifting, too.

When we ask for more cheaper food, we're now asking for better environmentally friendly food. And when you have McDonald's advertising what's in the chicken McNugget, the most mysterious food item of all time, they are now basing their marketing plan on that. Everything is changing.

So into the world now, personal food computers, food servers, and food data centers run on the open phenome. Think open genome, but we're going to put little climate recipes like Wikipedia that you can pull down, actuate, and grow. What does this look like in a world?

You remember the world connected by strings. We start having beacons. We start sending information about food rather than sending food.

This is not just my fantasy. This is where we're already deploying food computers, food servers, soon to be food data centers, connecting people together to share information. The future of food is not about fighting over what's wrong with this.

We know what's wrong with this. The future of food is about networking the next 1 billion farmers and empowering them with a platform to ask and answer the question, what if? Thank you.

⚡ Learning goals

  • Understand how coded climate ‘recipes’ affect plant growth and taste.
  • Identify key benefits of controlled-environment agriculture and sensors.
  • Use second conditional and modals to discuss hypothetical outcomes.

✨ Key language

  • climate recipe “This recipe changes light, CO₂ and humidity.”
  • controlled environment “We grow greens in a controlled environment.”
  • open phenome “The lab shares data to build an open phenome.”

⚙️ Rules & Grammar — 4 Structures

1️⃣ Second Conditional (What if + past)

Rule: Use past simple after ‘what if’ to imagine unreal present results; would/could in the result clause.
Examples: What if every country had its own productive climate?; If we coded climate, we would change nutrition.; What if farmers could share digital recipes?
Common pitfall + fix: Using present tense after ‘what if’ for unreal situations. — Use past simple after ‘what if’ and would/could for results.

Choose the correct form: What if we ___ climate like software?

Tip: Unreal present → past simple after ‘what if’.

Fill with the best answer: If we ___ the recipe, plants would grow faster.

Tip: Unreal condition: past simple after if.

2️⃣ Modals of Possibility (could, might)

Rule: Use could/might to express possibility or potential outcomes.
Examples: Sensors could alert us before plants suffer.; Recipes might increase sweetness under stress.; Sharing data could empower young farmers.
Common pitfall + fix: Overusing will for uncertain outcomes. — Use could/might for non-certain results.

Pick the best option: Open data ___ change how we farm.

Tip: Use could/might for possibilities.

Fill with the best answer: Recipes ___ produce different flavors.

Tip: Modal of possibility matches uncertainty.

3️⃣ Passive Voice for Processes

Rule: Use be + past participle to describe processes or general procedures.
Examples: Apples are stored in cold rooms for months.; Data are collected and analyzed daily.; Plants are grown indoors under coded climates.
Common pitfall + fix: Forgetting to use the past participle form. — Use be + V3; match tense to context.

Choose the correct passive: Sensors ___ every hour.

Tip: Use be + past participle.

Fill with the best answer: The lettuce is ___ in a controlled environment.

Tip: Past participle after ‘is’ forms the passive.

4️⃣ Present Simple for General Truths

Rule: Use present simple to state facts, routines, and general truths.
Examples: Farmers share climate recipes online.; Aeroponics uses mist to feed roots.; High CO2 affects plant growth.
Common pitfall + fix: Using continuous without a temporary action. — Use present simple for facts and regular actions.

Pick the correct sentence.

Tip: Present simple for general truths; ‘aeroponics’ takes singular verb.

Fill with the best answer: Sensors ___ plant data in the lab.

Tip: Present simple for regular actions.

✍️ Vocabulary

  aeroponics

Meaning: growing plants with roots suspended in air and misted with nutrients.
Synonyms: air-culture, soil-less growing.
Chunk/Idiom: aeroponics system.
Example: Aeroponics lets roots absorb oxygen and nutrients efficiently.
Morphology: noun.
Self-practice: Say: Our lab uses an aeroponics system for lettuce.

  controlled environment

Meaning: an indoor climate where temperature, humidity and light are managed.
Synonyms: regulated climate, managed conditions.
Chunk/Idiom: controlled-environment agriculture.
Example: Plants thrive in a controlled environment with stable humidity.
Morphology: noun phrase.
Self-practice: Describe one benefit of controlled-environment agriculture.

  phenome

Meaning: the set of observable characteristics produced by genes and environment.
Synonyms: traits, expression profile.
Chunk/Idiom: open phenome.
Example: The project shares recipes to study the open phenome.
Morphology: noun.
Self-practice: Explain how climate affects a plant's phenome.

  cold storage

Meaning: refrigerated storage used to slow ripening and extend shelf life.
Synonyms: chilled warehousing, refrigeration.
Chunk/Idiom: gas the cold storage.
Example: Apples often spend months in cold storage before sale.
Morphology: noun.
Self-practice: Tell why cold storage changes taste and nutrition.

  runoff

Meaning: water that carries chemicals from fields into rivers or seas.
Synonyms: drainage, effluent.
Chunk/Idiom: agricultural runoff.
Example: Agricultural runoff can create toxic ocean zones.
Morphology: noun.
Self-practice: Give two effects of agricultural runoff.

  recipe

Meaning: in this talk: coded climate settings to produce desired traits.
Synonyms: protocol, configuration.
Chunk/Idiom: climate recipe.
Example: A climate recipe encodes CO2, light and humidity.
Morphology: noun.
Self-practice: Name one variable in a climate recipe.

☁️ Examples (+ audio)


The lab grows lettuce in a perfect climate.

Sensors track each plant and send alerts.

Students test climate recipes and compare results.

What if every city produced fresh greens locally?

✏️ Exercises

Grammar

Which modal shows a possibility, not certainty?

Tip: Use could/might for uncertain results.


Choose the correct passive form: Apples ___ for months.

Tip: Passive is be + past participle.

Fill with the best answer:
What if we ___ the climate?

Tip: After ‘what if’ use past simple for unreal present.


Fill with the best answer:
Sensors help plants ___ better indoors.

Tip: Use base form after help.



Vocabulary & Comprehension

Which word means growing roots in mist, without soil?

Tip: ‘Aero’ suggests air; mist feeds the roots.


In the talk, apples spend months in ___.

Tip: It’s refrigerated and often gassed.

Fill with the best answer:
A climate ___ encodes CO2, light and humidity.

Tip: The talk uses cooking language for settings.


Fill with the best answer:
Agricultural ___ can pollute rivers and seas.

Tip: Think of water carrying chemicals off fields.

✅ Guided practice

Mini-dialogue:

A: I tried a new climate recipe and the lettuce is sweeter.
B: Interesting. What settings did you change?
A: I increased light and adjusted CO₂ slightly.

Why this matters:
Better control improves nutrition and taste. Data helps us learn faster. Sharing recipes empowers more growers.

Verb & Adjective Pack:

optimize — We optimized humidity overnight.
monitor — Robots monitor roots every hour.
resilient — Resilient plants handle stress better.

Try & compare:

Fill with the best answer: If climate is ___, farmers can compare results.

Tip: Use the passive participle.

Self-correction: Fix the sentence: Apples store months in cold rooms.

Tip: Use passive voice for a process.

Practice aloud: Listen, repeat, then type the sentence.

ul { padding-left: 2.5rem; margin-left: 0.4rem; } .ws-transcript{ max-width:960px; margin:1px auto 0; padding:2px 4px; line-height:1.65; font-size:17px; background:#f9fafb; border:1px solid #e5e7eb; border-radius:10px; white-space:pre-wrap; word-break:break-word; hyphens:auto; } .ws-transcript p{margin:0 0 10px} .ws-centered-all .ws-question,.ws-centered-all,.ws-centered-all ul,.ws-centered-all p{ max-width:1200px;margin-left:auto;margin-right:auto;text-align:left} .wp-block-post-content>*{max-width:1200px;margin-left:auto;margin-right:auto} .ws-centered{max-width:1200px;margin-left:auto;margin-right:auto;padding-left:8px;padding-right:8px} .ws-opt,.ws-actions button{all:unset;display:inline-block;cursor:pointer;padding:8px 14px;margin:4px 4px 4px 0;font-family:inherit;font-size:16px;line-height:1.3;border-radius:10px;border:1px solid #1d4ed8;background:#2563eb;color:#fff;transition:background-color .15s ease,border-color .15s ease,transform .15s ease;will-change:transform} .ws-opt:hover,.ws-actions button:hover{background:#059669;border-color:#059669;color:#fff} .ws-actions button{background:#e2e8f0!important;border-color:#cbd5e1!important;color:#334155!important;font-size:14px!important;padding:6px 10px!important} .ws-actions button:hover{background:#cbd5e1!important;border-color:#94a3b8!important;color:#1e293b!important} .ws-opt.ws-selected{background:#059669;border-color:#059669;color:#fff;box-shadow:0 0 0 2px rgba(5,150,105,.25) inset} .ws-question{border:none!important;background:transparent!important;border-radius:0!important;box-shadow:none!important;padding:0!important} .ws-question:hover{box-shadow:0 4px 10px rgba(0,0,0,.10)} .ws-options{display:flex;flex-wrap:wrap;gap:8px} .ws-feedback{margin-top:8px;font-weight:600} .ws-input{padding:6px 10px;border:1px solid #d1d5db;border-radius:8px;width:200px;font-size:16px} .ws-input:focus{border-color:#2563eb;outline:none;box-shadow:0 0 0 1px #2563eb} @keyframes ws-pop{0%{transform:scale(1)}40%{transform:scale(.9)}100%{transform:scale(1)}} @media (prefers-reduced-motion:reduce){.ws-opt,.ws-actions button{transition:none!important}.ws-opt:active,.ws-actions button:active{animation:none!important}}

Leave a Comment

Your email address will not be published. Required fields are marked *