Transforming us into a society of food producers | Dr. Chandra Krintz | TEDxFargo
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0:23 - 0:26Technology today pervades our lives;
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0:26 - 0:29It gives us instant access to information,
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0:29 - 0:33it provides us with
very personalized recommendations -
0:33 - 0:36on what to buy, what movies to watch,
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0:36 - 0:37and for good and for bad,
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0:37 - 0:40connects us with people
all over the planet. -
0:40 - 0:43People that we would
never have otherwise met. -
0:43 - 0:45The companies behind these technologies
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0:45 - 0:49make them super easy to use,
accessible to everyone -
0:49 - 0:51so that everyone can participate,
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0:51 - 0:56everyone can be part
of these technological advances. -
0:56 - 0:59They also make them
accessible from everywhere; -
0:59 - 1:00from your cell phone,
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1:00 - 1:03from your laptop, your machine at work.
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1:03 - 1:07And these companies
make them free for us to use. -
1:07 - 1:09Or do they?
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1:09 - 1:14It turns out that we're actually paying
these companies to use their services; -
1:14 - 1:18the Facebooks, the Amazons,
the Googles of the world. -
1:18 - 1:20We're not paying in dollars, however,
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1:20 - 1:22we're paying in data.
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1:22 - 1:27Every time you use your apps
on your phone, or on your computer, -
1:28 - 1:29every time you access the Internet,
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1:29 - 1:33these companies are collecting
personal information about you. -
1:33 - 1:35You buy diapers?
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1:35 - 1:36They know you have kids.
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1:36 - 1:38You search for directions?
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1:38 - 1:41They know not only where you're going,
but where you've been. -
1:42 - 1:47These companies collect information
like where you live, where you work, -
1:47 - 1:49what you like and what you don't like,
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1:49 - 1:51where your kids go to school.
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1:51 - 1:53And they don't just collect a little data.
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1:53 - 1:57They collect lots and lots of data.
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1:57 - 2:02This is what you are paying
for Amazon's free shipping. -
2:02 - 2:04Do you know what they do with this?
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2:04 - 2:07They take all this data
and they put it on a bunch of computers. -
2:07 - 2:11They take some really sophisicated
mathematics and statistics, -
2:11 - 2:13and they apply it to the data.
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2:13 - 2:16They don't apply it manually,
they rely on computers to do it for them, -
2:16 - 2:19so they have to turn the map
and the stats into code. -
2:19 - 2:23You hear the president talk about code,
and everyone should be doing it; -
2:23 - 2:25this is what he is talking about.
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2:25 - 2:29You apply code to data
and what you get out is insights: -
2:30 - 2:31inferences about your life,
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2:31 - 2:33about what you like and don't like,
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2:33 - 2:36and even better, what you're going to buy,
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2:36 - 2:38and what you are going
to want in the future. -
2:38 - 2:40It is predictive.
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2:41 - 2:43These insights allow these companies
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2:43 - 2:47to give us the apps and websites
that we know and love, -
2:47 - 2:51but they also provide these companies
with other types of value. -
2:51 - 2:53Because they are predictive,
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2:53 - 2:55they can tell what you will buy,
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2:55 - 2:59who will you vote for,
and where you will travel, -
2:59 - 3:01and that, they can monetize.
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3:01 - 3:02And they do.
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3:04 - 3:05Have you ever wondered
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3:05 - 3:08whether we could use
this exact same technology -
3:08 - 3:10to do something for the world?
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3:10 - 3:14To solve a really hard problem,
say, like feeding the planet? -
3:15 - 3:18There are seven billion people
on the Earth today, -
3:18 - 3:20and we can barely feed them.
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3:22 - 3:25Our arable lands
and our resources like water -
3:25 - 3:27are shrinking, not growing.
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3:27 - 3:31And by 2050, there are going to be
nine billion people on the planet. -
3:32 - 3:35So, what we need to do,
what we need to ask is: -
3:35 - 3:37can we use these technologies
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3:37 - 3:40to make farmers more efficient,
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3:40 - 3:43to provide them with decision support?
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3:43 - 3:43Think of it!
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3:43 - 3:47It's like Amazon for Ag,
Google for growers. -
3:47 - 3:50Not sure what I'm going to do
about milk producers out there, -
3:50 - 3:53but maybe we'll call it "Moogle".
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3:53 - 3:54(Laughter)
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3:54 - 3:56The problem is similar.
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3:56 - 3:57You take data,
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3:57 - 3:59- farmers have lots of it -
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3:59 - 4:00historical records,
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4:00 - 4:03all farm implements today
come instrumented with sensors. -
4:03 - 4:06But you can buy sensors on devices now,
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4:06 - 4:11and collect lots and lots of information
about the property, the processes, -
4:11 - 4:13that the farmers undertaking.
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4:13 - 4:15You can then apply the same code,
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4:15 - 4:19very similar code, to this data,
and extract insights. -
4:19 - 4:23Only these insights can be
targeted for the problems, -
4:23 - 4:26- and there are many - that farmers have.
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4:26 - 4:29Things like when to water,
how much to water, and where to water; -
4:30 - 4:32things like, "How are we going
to optimize the yields -
4:32 - 4:36to get the most out of the little bit
of land that we have?" -
4:37 - 4:41And just like Amazon knows
what shoes you're going to buy next week, -
4:41 - 4:44we can make predictions
about diseases and pests -
4:44 - 4:47before they become a problem,
so that we can address them. -
4:50 - 4:53It turns out that some of this technology
already exists today. -
4:53 - 4:57Some really innovative, pioneering
companies have developed some of this, -
4:57 - 4:59and the model they use is this:
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5:00 - 5:04the farmers buy a product, or a service
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5:04 - 5:07from a company, or a farm implement,
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5:07 - 5:10and in return, they ship all of their data
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5:10 - 5:15over the Internet,
to a company, constantly. -
5:15 - 5:18The company takes that data,
applies the code, and gets the insights. -
5:19 - 5:22Some insights they share
with the farmers, some they don't, -
5:22 - 5:26just like Amazon, Google,
and Facebook, it's all monetizable. -
5:26 - 5:28And they can make good money from this.
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5:30 - 5:33But if we're going to take this model
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5:33 - 5:35and use it to solve a really hard problem,
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5:35 - 5:37like feeding the planet,
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5:37 - 5:41we can't just have the code,
- what's most valuable here - -
5:42 - 5:45owned and controlled by a few.
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5:45 - 5:48We need to make the code,
the ability to extract insights -
5:48 - 5:51and make predictions
of the future that are accurate, -
5:51 - 5:53available to everyone.
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5:54 - 5:58Like the services of Facebook
and Amazon.com. -
5:59 - 6:01And that is what I work on.
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6:01 - 6:05I work on the problem of taking the code
and making it available for everyone, -
6:06 - 6:09and in making it possible
to execute it everywhere. -
6:10 - 6:12Because some farmers
don't even have the Internet. -
6:12 - 6:16So instead of moving all that data
to a company over the intermet, -
6:16 - 6:20how about we move the code,
- which is tiny - once, -
6:20 - 6:24and move that to the data,
move it to the farm? -
6:25 - 6:28Execute the code
on a computer at the farm, -
6:28 - 6:33and the farmer can extract
his or her own insights from it, -
6:33 - 6:37and profit from it, and become
more productive because of it. -
6:38 - 6:43They can even give or sell their data
and their insights to industry. -
6:43 - 6:47These companies can still make
a profit with their own insights, -
6:47 - 6:50or the insights that farmers
have extracted with the code. -
6:50 - 6:54They can still make money from this,
just perhaps a little less. -
6:56 - 7:01The problem with this model is that,
first of all, this code is complex. -
7:02 - 7:06It is mathematics and statistics
that are well understood however. -
7:06 - 7:10And technology has a precedent
for taking complex things -
7:10 - 7:12and making them ubiquitous.
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7:13 - 7:15Think about the Internet.
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7:15 - 7:17The Internet at one time
was thought of as rocket science. -
7:17 - 7:20A bunch of researchers
got together, developed it, -
7:20 - 7:22put it out there;
everyone was afraid of it. -
7:22 - 7:25A few companies could take
advantage of it, and did. -
7:25 - 7:28And today, it's everywhere.
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7:28 - 7:30And for most of us, it's free.
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7:30 - 7:33We have commoditized the internet.
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7:33 - 7:36The time is now to commoditize
this type of code. -
7:36 - 7:39It is possible, and we can do it.
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7:39 - 7:44The second big problem
is industry is not going to do it for us. -
7:45 - 7:48What company
would develop intellectual property -
7:48 - 7:50and then give it away
to their competitors? -
7:51 - 7:52Not many.
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7:53 - 7:56So the second problem
that we have to deal with -
7:56 - 7:57is how are we are going to get this done?
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7:57 - 8:00How are we going to make
this accessible to all farmers, -
8:00 - 8:03so that all people can prosper from it?
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8:04 - 8:07Technology has a precedent
for that as well. -
8:07 - 8:10It's called "open source."
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8:11 - 8:13It's where a bunch
of researches get together, -
8:13 - 8:15in computer science or technology,
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8:15 - 8:17and they build the building blocks,
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8:17 - 8:19and they give them away for free,
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8:19 - 8:22so that everyone has access,
so that everyone can use them. -
8:22 - 8:25You work hard at making them
as easy to use as possible. -
8:25 - 8:28And then we build a community;
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8:28 - 8:30a community of innovators, and developers,
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8:30 - 8:35and researchers, and students;
of all ages, of all backgrounds, -
8:35 - 8:38and in our case, farmers and growers.
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8:39 - 8:42And this community
is what creates the innovation -
8:42 - 8:46that really can be brought
to bear on hard problems -
8:46 - 8:49that individual companies
just aren't going to. -
8:49 - 8:52They're going to participate,
but they can't do it alone. -
8:52 - 8:54None of us can do it alone, it turns out.
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8:56 - 8:58So I encourage you to think about this,
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8:58 - 9:02and to come join us
in making farms smarter. -
9:02 - 9:04Come join the "Smart Farm" community
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9:04 - 9:07because only together
are we going to able to feed the planet. -
9:08 - 9:09Thank you for listening.
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9:09 - 9:11(Applause)
- Title:
- Transforming us into a society of food producers | Dr. Chandra Krintz | TEDxFargo
- Description:
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Dr. Chandra Krintz discusses how we might use advances in technology that have transformed us into a society of consumers, to transform us into a society of food producers. In particular, she suggests using the same techniques that Amazon, Google, and Facebook use to target advertising, marketing, and sales of products to us (i.e. data aggregation, analysis, and prediction), to make farmers and ranchers more productive in order to feed the planet as our population grows.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
- Video Language:
- English
- Team:
- closed TED
- Project:
- TEDxTalks
- Duration:
- 09:31
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