I know a businessman who has a very big
decision to make today
last year he wasn’t good same exact
situation and he made a rom-com and that
mistake caused him on this very day in
October
he’s anxious not to make the wrong
decisions again
Camilo is a farmer from Google in India
what he tells her he’s the kindest man
and also a proud father for the last
five months he has put a lot of efforts
and investments into his farm business
history fields have now ripened and he’s
just about to see his returns but today
he’s facing a dilemma to harvest or not
to harvest that is the question
it has been raining a good-news village
for the last few days you see to harvest
paddy and to try and understand
afterwards
corner needs a solid five days of
sunshine even just one day of rain where
we’re studying no as you and no idea but
if the rain continues for weeks and if
Camilla waits for too long the paddies
gonna get overripe and he will lose all
of his crops communist also been in deep
faculty because of weather
it was like some Nargis he lost
everything that he lost his house his
farm and even bull of his parents it
took him a long long time and a lot of
interest to get back on his feet now
this was an important lesson for him to
never make a blight judgment on whether
again so since that he always listens to
the radio and Reese newspaper every day
to get a daily update and today is fair
you see to make the harvest decision communities the weather focus for the
communities the weather focus for the next five days but all weather focus
next five days but all weather focus currently accessible to him are only for
currently accessible to him are only for the next two days and most of these
the next two days and most of these workers are where to generalise for the
workers are where to generalise for the whole layout division and you know that
whole layout division and you know that Delta is huge
Delta is huge his field is just just a tiny spot on
his field is just just a tiny spot on the path perhaps I mean no rain at all
the path perhaps I mean no rain at all in his village but the things that he
in his village but the things that he finds the most confusing are all the
finds the most confusing are all the percentages that the webinar says 50%
percentages that the webinar says 50% chance of rain
chance of rain what does it even mean is it going to
what does it even mean is it going to rain in five villages out of ten of five
rain in five villages out of ten of five out of ten hours during the next day the
out of ten hours during the next day the weather information currently available
weather information currently available to commune isn’t just that helpful to
to commune isn’t just that helpful to make a good decision how would you
make a good decision how would you decide if you work on yours would you go
decide if you work on yours would you go ahead and help us now and risk losing a
ahead and help us now and risk losing a lot of money or would you try waiting
lot of money or would you try waiting for a few days and see if the rain
for a few days and see if the rain stopped there over 20 million farmers in
stopped there over 20 million farmers in rural Nevada who rely on farming as
rural Nevada who rely on farming as their primary income sauce like in
their primary income sauce like in Europe they work very hard and are full
Europe they work very hard and are full of tenacity you would think that they
of tenacity you would think that they are hard walk and grid should lead to
are hard walk and grid should lead to success but the queue is not all of our
success but the queue is not all of our farmers are successful in farming and
farmers are successful in farming and that is because they are struggling with
that is because they are struggling with decision making every day a small farmer
decision making every day a small farmer has about 100 major decisions to make in
has about 100 major decisions to make in the typical cropping season of water
the typical cropping season of water pipelines that is more decisions now
pipelines that is more decisions now what you and I usually make in a similar
what you and I usually make in a similar period of time what car should I grow
period of time what car should I grow how much input should I act and fly
how much input should I act and fly which passes that is it serious enough
which passes that is it serious enough for me to go buy pesticides and the
for me to go buy pesticides and the small farmers have to make all of these
small farmers have to make all of these decisions without having anywhere
decisions without having anywhere this is just really tough this what a
this is just really tough this what a lot of promise that I have Matt say to
lot of promise that I have Matt say to me nano I teach water farming is like
me nano I teach water farming is like Catholic it doesn’t matter which
Catholic it doesn’t matter which decision you make at the end of the day
decision you make at the end of the day it is all up to fate
it is all up to fate well I study statistics and you know
well I study statistics and you know what’s the business of good right
what’s the business of good right gambler
gambler we are trained officially and legally to
we are trained officially and legally to win a poker game and growing up I also
win a poker game and growing up I also learned how to play cards even before I
learned how to play cards even before I learned how to read right
learned how to read right my grandmother used to babysat me and my
my grandmother used to babysat me and my cousin because my parents were busy okay
cousin because my parents were busy okay and she taught us how to play cards
and she taught us how to play cards obviously our parents were very upset
obviously our parents were very upset when he found out she told them what do
when he found out she told them what do you know I’m training them to be good in
you know I’m training them to be good in math well I guess she was correct
math well I guess she was correct my cousin became a computer scientist
my cousin became a computer scientist and I became a statistician I believe in
and I became a statistician I believe in the power of data and decision making
the power of data and decision making that was why I was drawn into the field
that was why I was drawn into the field of statistics in the first place so one
of statistics in the first place so one of the farmers that are telling me that
of the farmers that are telling me that feminists like gambling the nerd in me
feminists like gambling the nerd in me immediately said to calculate
immediately said to calculate probability what are the chances of
probability what are the chances of success costs more pharmacy
success costs more pharmacy Yemi and how can we improve these
Yemi and how can we improve these chances these are the critical questions
chances these are the critical questions for our country and I believe if data
for our country and I believe if data can help a sebacean so when we talk
can help a sebacean so when we talk about big data we turn a thing over
about big data we turn a thing over that’s something not accessible in yeah
that’s something not accessible in yeah by yet we think of it as something
by yet we think of it as something coming out from us set up in the Silicon
coming out from us set up in the Silicon Valley or 11 MIT and lead a business
Valley or 11 MIT and lead a business called farmer voice resurfaces
called farmer voice resurfaces approximately designs it is a social
approximately designs it is a social enterprise in Yama
enterprise in Yama welcome to increase the income of
welcome to increase the income of smallholder farmers let me share with
smallholder farmers let me share with you one example of mightiness
you one example of mightiness and big data to help farmers with their
and big data to help farmers with their decision-making
decision-making you see farmers are very busy tending to
you see farmers are very busy tending to their farm all day every day so that’s
their farm all day every day so that’s why we meet them out of the hills they
why we meet them out of the hills they don’t have the time to come to us we go
don’t have the time to come to us we go to them so farmers are like you and me
to them so farmers are like you and me when we get busy we up things and
when we get busy we up things and then we get stressed and then we forget
then we get stressed and then we forget more and now we made mistakes we make
more and now we made mistakes we make wrong decisions so we have been standing
wrong decisions so we have been standing farmers as pharmacists my services just
farmers as pharmacists my services just like notifications to keep them on top
like notifications to keep them on top of their game and to guide them to or to
of their game and to guide them to or to other farming season we also sent them
other farming season we also sent them about any initial weather outbreaks or
about any initial weather outbreaks or any press outlets near their fields so
any press outlets near their fields so this sounds easy send an SMS is easy
this sounds easy send an SMS is easy reading an SMS even for a farmer is also
reading an SMS even for a farmer is also very easy but the hard part is writing
very easy but the hard part is writing the message don’t we all hate spam
the message don’t we all hate spam messages every message has to be
messages every message has to be relevant for every farmer well if all
relevant for every farmer well if all farmers niyama live in the same village
farmers niyama live in the same village and grow only one variety of paddy and
and grow only one variety of paddy and stop planting on the same date this job
stop planting on the same date this job is very easy we only need one message to
is very easy we only need one message to set to OFF but our farmers live all
set to OFF but our farmers live all across the country grow over 200
across the country grow over 200 varieties of paddy and only god knows
varieties of paddy and only god knows what they gonna stop planting some ova
what they gonna stop planting some ova has a same nightmare with permutation
has a same nightmare with permutation combinations back in high school college
combinations back in high school college so we get all combinations of farmers
so we get all combinations of farmers and then we map out the key decisions
and then we map out the key decisions and the activities that each combination
and the activities that each combination is making and then we link those
is making and then we link those decisions with actual data sets like
decisions with actual data sets like soil analysis has outbreaks of web this
soil analysis has outbreaks of web this is how we get unlovely sms’s
is how we get unlovely sms’s customized for every farmer so that they
customized for every farmer so that they can make a cure decision best fit for
can make a cure decision best fit for their situation the only thing it is
their situation the only thing it is amazing I think
amazing I think I just love this I love big data what
I just love this I love big data what about farmers do you think they love big
about farmers do you think they love big data yeah no in space Paige dictator
data yeah no in space Paige dictator they don’t want big data they want small
they don’t want big data they want small thinker they want their data to be
thinker they want their data to be simple
simple they weren’t irrelevant they weren’t it
they weren’t irrelevant they weren’t it just enough so that they can make a good
just enough so that they can make a good decision other information is just noise
decision other information is just noise do you need to have deep empathy and
do you need to have deep empathy and understand so that you can synthesize
understand so that you can synthesize the most relevant bite-sized data for
the most relevant bite-sized data for them and we cannot provide more data to
them and we cannot provide more data to farmers of skill unless we have data so
farmers of skill unless we have data so today if you were to ask me if we can
today if you were to ask me if we can tell comeö to help us or not to harvest
tell comeö to help us or not to harvest just we can we just need to zoom into
just we can we just need to zoom into the news location that the weather focus
the news location that the weather focus and tell them the answer and we can do
and tell them the answer and we can do the same for all pedicure and farmers in
the same for all pedicure and farmers in Yemen but we cannot do safe for other
Yemen but we cannot do safe for other hard-working farmers growing different
hard-working farmers growing different crops yet there are also other decisions
crops yet there are also other decisions that come you still need to make which
that come you still need to make which market will it be best for me to sell
market will it be best for me to sell the dairy a wish price should I sell my
the dairy a wish price should I sell my heavy atom we cannot yes the part all
heavy atom we cannot yes the part all the decisions that Coomer is making and
the decisions that Coomer is making and we cannot yet support all the decisions
we cannot yet support all the decisions that every farmer just yet big data for
that every farmer just yet big data for agriculture is a novel idea not just for
agriculture is a novel idea not just for Yemen but also for across the world
Yemen but also for across the world across the wall not so long ago a
across the wall not so long ago a climate cooperation the leading provider
climate cooperation the leading provider of aquaculture data was acquired at the
of aquaculture data was acquired at the value of nine hundred and thirty million
value of nine hundred and thirty million dollars that is almost 1 billion dollar
dollars that is almost 1 billion dollar that is being invested in big data for
that is being invested in big data for big farmers since then many more
big farmers since then many more agricultural organizations have invested
agricultural organizations have invested one dictator and now
one dictator and now dictators which is not only two big
dictators which is not only two big powers but also two small
powers but also two small across the wall analyzation called
across the wall analyzation called planting is using image for connection
planting is using image for connection technology to have small farmers in
technology to have small farmers in countries like India self-diagnose the
countries like India self-diagnose the crop diseases just by taking photos it’s
crop diseases just by taking photos it’s like taking a selfie
like taking a selfie this Aldo Kenya another organization
this Aldo Kenya another organization called FIFA is using AI to connect small
called FIFA is using AI to connect small farmers to each other so that they can
farmers to each other so that they can chat away their struggles the idea of
chat away their struggles the idea of using big data for small farmers in
using big data for small farmers in rural Maya it’s not just a dream anymore
rural Maya it’s not just a dream anymore it can be a reality and our farmers are
it can be a reality and our farmers are very ready for data technologies it is
very ready for data technologies it is so hard to fight a rule also without a
so hard to fight a rule also without a smartphone these days but are we ready
smartphone these days but are we ready is Emma ready to provide big data to
is Emma ready to provide big data to small farmers you see that data
small farmers you see that data technology with useless if we don’t have
technology with useless if we don’t have data in the first place so for us to be
data in the first place so for us to be truly ready for data-driven agriculture
truly ready for data-driven agriculture and to be truly successful with that we
and to be truly successful with that we need to invest a lot of data a lot more
need to invest a lot of data a lot more than what coming at us we need to call a
than what coming at us we need to call a preparer to the quality data and also
preparer to the quality data and also are initiated by open data and we need
are initiated by open data and we need to start today it is undeniable that
to start today it is undeniable that aquaculture is an important sector for
aquaculture is an important sector for the economic growth of her country but
the economic growth of her country but to me the reasons why I care about big
to me the reasons why I care about big data but with culture and the reason why
data but with culture and the reason why I care about small farmers making good
I care about small farmers making good decisions it’s not just a Korean economy
decisions it’s not just a Korean economy theory it is possible by using big data
theory it is possible by using big data farmers can prevent crop losses and we
farmers can prevent crop losses and we can be assured that there is food on our
can be assured that there is food on our table I’m using big taylors farmers the
table I’m using big taylors farmers the little spray pesticides and necessarily
little spray pesticides and necessarily and we can be searching that our food is
and we can be searching that our food is safe by using big data farmers can apply
safe by using big data farmers can apply fertilizer
fertilizer needed our swirl and our rivers will be
needed our swirl and our rivers will be free of harmful chemicals and who will
free of harmful chemicals and who will have a sustainable environment after the
have a sustainable environment after the cyclone nargis many of Kunduz friends
cyclone nargis many of Kunduz friends put up and hit the jungle or a more
put up and hit the jungle or a more stable job I asked him the reason why he
stable job I asked him the reason why he still too far and he said farm
still too far and he said farm enterprise the basic need of a human
enterprise the basic need of a human life from food to clothing to shelter
life from food to clothing to shelter and I want to be one of the people who
and I want to be one of the people who support these basic needs for my
support these basic needs for my neighbors and for everyone on earth our
neighbors and for everyone on earth our assistance today and our sustainability
assistance today and our sustainability in the future depends on the decisions
in the future depends on the decisions like that made by small farmers like
like that made by small farmers like puyo and these decisions cannot be
puyo and these decisions cannot be gambled away let us empower our small
gambled away let us empower our small farmers with big data so that they can
farmers with big data so that they can make a lot of good decisions
make a lot of good decisions thank you very much
decision to make today
last year he wasn’t good same exact
situation and he made a rom-com and that
mistake caused him on this very day in
October
he’s anxious not to make the wrong
decisions again
Camilo is a farmer from Google in India
what he tells her he’s the kindest man
and also a proud father for the last
five months he has put a lot of efforts
and investments into his farm business
history fields have now ripened and he’s
just about to see his returns but today
he’s facing a dilemma to harvest or not
to harvest that is the question
it has been raining a good-news village
for the last few days you see to harvest
paddy and to try and understand
afterwards
corner needs a solid five days of
sunshine even just one day of rain where
we’re studying no as you and no idea but
if the rain continues for weeks and if
Camilla waits for too long the paddies
gonna get overripe and he will lose all
of his crops communist also been in deep
faculty because of weather
it was like some Nargis he lost
everything that he lost his house his
farm and even bull of his parents it
took him a long long time and a lot of
interest to get back on his feet now
this was an important lesson for him to
never make a blight judgment on whether
again so since that he always listens to
the radio and Reese newspaper every day
to get a daily update and today is fair
you see to make the harvest decision communities the weather focus for the
communities the weather focus for the next five days but all weather focus
next five days but all weather focus currently accessible to him are only for
currently accessible to him are only for the next two days and most of these
the next two days and most of these workers are where to generalise for the
workers are where to generalise for the whole layout division and you know that
whole layout division and you know that Delta is huge
Delta is huge his field is just just a tiny spot on
his field is just just a tiny spot on the path perhaps I mean no rain at all
the path perhaps I mean no rain at all in his village but the things that he
in his village but the things that he finds the most confusing are all the
finds the most confusing are all the percentages that the webinar says 50%
percentages that the webinar says 50% chance of rain
chance of rain what does it even mean is it going to
what does it even mean is it going to rain in five villages out of ten of five
rain in five villages out of ten of five out of ten hours during the next day the
out of ten hours during the next day the weather information currently available
weather information currently available to commune isn’t just that helpful to
to commune isn’t just that helpful to make a good decision how would you
make a good decision how would you decide if you work on yours would you go
decide if you work on yours would you go ahead and help us now and risk losing a
ahead and help us now and risk losing a lot of money or would you try waiting
lot of money or would you try waiting for a few days and see if the rain
for a few days and see if the rain stopped there over 20 million farmers in
stopped there over 20 million farmers in rural Nevada who rely on farming as
rural Nevada who rely on farming as their primary income sauce like in
their primary income sauce like in Europe they work very hard and are full
Europe they work very hard and are full of tenacity you would think that they
of tenacity you would think that they are hard walk and grid should lead to
are hard walk and grid should lead to success but the queue is not all of our
success but the queue is not all of our farmers are successful in farming and
farmers are successful in farming and that is because they are struggling with
that is because they are struggling with decision making every day a small farmer
decision making every day a small farmer has about 100 major decisions to make in
has about 100 major decisions to make in the typical cropping season of water
the typical cropping season of water pipelines that is more decisions now
pipelines that is more decisions now what you and I usually make in a similar
what you and I usually make in a similar period of time what car should I grow
period of time what car should I grow how much input should I act and fly
how much input should I act and fly which passes that is it serious enough
which passes that is it serious enough for me to go buy pesticides and the
for me to go buy pesticides and the small farmers have to make all of these
small farmers have to make all of these decisions without having anywhere
decisions without having anywhere this is just really tough this what a
this is just really tough this what a lot of promise that I have Matt say to
lot of promise that I have Matt say to me nano I teach water farming is like
me nano I teach water farming is like Catholic it doesn’t matter which
Catholic it doesn’t matter which decision you make at the end of the day
decision you make at the end of the day it is all up to fate
it is all up to fate well I study statistics and you know
well I study statistics and you know what’s the business of good right
what’s the business of good right gambler
gambler we are trained officially and legally to
we are trained officially and legally to win a poker game and growing up I also
win a poker game and growing up I also learned how to play cards even before I
learned how to play cards even before I learned how to read right
learned how to read right my grandmother used to babysat me and my
my grandmother used to babysat me and my cousin because my parents were busy okay
cousin because my parents were busy okay and she taught us how to play cards
and she taught us how to play cards obviously our parents were very upset
obviously our parents were very upset when he found out she told them what do
when he found out she told them what do you know I’m training them to be good in
you know I’m training them to be good in math well I guess she was correct
math well I guess she was correct my cousin became a computer scientist
my cousin became a computer scientist and I became a statistician I believe in
and I became a statistician I believe in the power of data and decision making
the power of data and decision making that was why I was drawn into the field
that was why I was drawn into the field of statistics in the first place so one
of statistics in the first place so one of the farmers that are telling me that
of the farmers that are telling me that feminists like gambling the nerd in me
feminists like gambling the nerd in me immediately said to calculate
immediately said to calculate probability what are the chances of
probability what are the chances of success costs more pharmacy
success costs more pharmacy Yemi and how can we improve these
Yemi and how can we improve these chances these are the critical questions
chances these are the critical questions for our country and I believe if data
for our country and I believe if data can help a sebacean so when we talk
can help a sebacean so when we talk about big data we turn a thing over
about big data we turn a thing over that’s something not accessible in yeah
that’s something not accessible in yeah by yet we think of it as something
by yet we think of it as something coming out from us set up in the Silicon
coming out from us set up in the Silicon Valley or 11 MIT and lead a business
Valley or 11 MIT and lead a business called farmer voice resurfaces
called farmer voice resurfaces approximately designs it is a social
approximately designs it is a social enterprise in Yama
enterprise in Yama welcome to increase the income of
welcome to increase the income of smallholder farmers let me share with
smallholder farmers let me share with you one example of mightiness
you one example of mightiness and big data to help farmers with their
and big data to help farmers with their decision-making
decision-making you see farmers are very busy tending to
you see farmers are very busy tending to their farm all day every day so that’s
their farm all day every day so that’s why we meet them out of the hills they
why we meet them out of the hills they don’t have the time to come to us we go
don’t have the time to come to us we go to them so farmers are like you and me
to them so farmers are like you and me when we get busy we up things and
when we get busy we up things and then we get stressed and then we forget
then we get stressed and then we forget more and now we made mistakes we make
more and now we made mistakes we make wrong decisions so we have been standing
wrong decisions so we have been standing farmers as pharmacists my services just
farmers as pharmacists my services just like notifications to keep them on top
like notifications to keep them on top of their game and to guide them to or to
of their game and to guide them to or to other farming season we also sent them
other farming season we also sent them about any initial weather outbreaks or
about any initial weather outbreaks or any press outlets near their fields so
any press outlets near their fields so this sounds easy send an SMS is easy
this sounds easy send an SMS is easy reading an SMS even for a farmer is also
reading an SMS even for a farmer is also very easy but the hard part is writing
very easy but the hard part is writing the message don’t we all hate spam
the message don’t we all hate spam messages every message has to be
messages every message has to be relevant for every farmer well if all
relevant for every farmer well if all farmers niyama live in the same village
farmers niyama live in the same village and grow only one variety of paddy and
and grow only one variety of paddy and stop planting on the same date this job
stop planting on the same date this job is very easy we only need one message to
is very easy we only need one message to set to OFF but our farmers live all
set to OFF but our farmers live all across the country grow over 200
across the country grow over 200 varieties of paddy and only god knows
varieties of paddy and only god knows what they gonna stop planting some ova
what they gonna stop planting some ova has a same nightmare with permutation
has a same nightmare with permutation combinations back in high school college
combinations back in high school college so we get all combinations of farmers
so we get all combinations of farmers and then we map out the key decisions
and then we map out the key decisions and the activities that each combination
and the activities that each combination is making and then we link those
is making and then we link those decisions with actual data sets like
decisions with actual data sets like soil analysis has outbreaks of web this
soil analysis has outbreaks of web this is how we get unlovely sms’s
is how we get unlovely sms’s customized for every farmer so that they
customized for every farmer so that they can make a cure decision best fit for
can make a cure decision best fit for their situation the only thing it is
their situation the only thing it is amazing I think
amazing I think I just love this I love big data what
I just love this I love big data what about farmers do you think they love big
about farmers do you think they love big data yeah no in space Paige dictator
data yeah no in space Paige dictator they don’t want big data they want small
they don’t want big data they want small thinker they want their data to be
thinker they want their data to be simple
simple they weren’t irrelevant they weren’t it
they weren’t irrelevant they weren’t it just enough so that they can make a good
just enough so that they can make a good decision other information is just noise
decision other information is just noise do you need to have deep empathy and
do you need to have deep empathy and understand so that you can synthesize
understand so that you can synthesize the most relevant bite-sized data for
the most relevant bite-sized data for them and we cannot provide more data to
them and we cannot provide more data to farmers of skill unless we have data so
farmers of skill unless we have data so today if you were to ask me if we can
today if you were to ask me if we can tell comeö to help us or not to harvest
tell comeö to help us or not to harvest just we can we just need to zoom into
just we can we just need to zoom into the news location that the weather focus
the news location that the weather focus and tell them the answer and we can do
and tell them the answer and we can do the same for all pedicure and farmers in
the same for all pedicure and farmers in Yemen but we cannot do safe for other
Yemen but we cannot do safe for other hard-working farmers growing different
hard-working farmers growing different crops yet there are also other decisions
crops yet there are also other decisions that come you still need to make which
that come you still need to make which market will it be best for me to sell
market will it be best for me to sell the dairy a wish price should I sell my
the dairy a wish price should I sell my heavy atom we cannot yes the part all
heavy atom we cannot yes the part all the decisions that Coomer is making and
the decisions that Coomer is making and we cannot yet support all the decisions
we cannot yet support all the decisions that every farmer just yet big data for
that every farmer just yet big data for agriculture is a novel idea not just for
agriculture is a novel idea not just for Yemen but also for across the world
Yemen but also for across the world across the wall not so long ago a
across the wall not so long ago a climate cooperation the leading provider
climate cooperation the leading provider of aquaculture data was acquired at the
of aquaculture data was acquired at the value of nine hundred and thirty million
value of nine hundred and thirty million dollars that is almost 1 billion dollar
dollars that is almost 1 billion dollar that is being invested in big data for
that is being invested in big data for big farmers since then many more
big farmers since then many more agricultural organizations have invested
agricultural organizations have invested one dictator and now
one dictator and now dictators which is not only two big
dictators which is not only two big powers but also two small
powers but also two small across the wall analyzation called
across the wall analyzation called planting is using image for connection
planting is using image for connection technology to have small farmers in
technology to have small farmers in countries like India self-diagnose the
countries like India self-diagnose the crop diseases just by taking photos it’s
crop diseases just by taking photos it’s like taking a selfie
like taking a selfie this Aldo Kenya another organization
this Aldo Kenya another organization called FIFA is using AI to connect small
called FIFA is using AI to connect small farmers to each other so that they can
farmers to each other so that they can chat away their struggles the idea of
chat away their struggles the idea of using big data for small farmers in
using big data for small farmers in rural Maya it’s not just a dream anymore
rural Maya it’s not just a dream anymore it can be a reality and our farmers are
it can be a reality and our farmers are very ready for data technologies it is
very ready for data technologies it is so hard to fight a rule also without a
so hard to fight a rule also without a smartphone these days but are we ready
smartphone these days but are we ready is Emma ready to provide big data to
is Emma ready to provide big data to small farmers you see that data
small farmers you see that data technology with useless if we don’t have
technology with useless if we don’t have data in the first place so for us to be
data in the first place so for us to be truly ready for data-driven agriculture
truly ready for data-driven agriculture and to be truly successful with that we
and to be truly successful with that we need to invest a lot of data a lot more
need to invest a lot of data a lot more than what coming at us we need to call a
than what coming at us we need to call a preparer to the quality data and also
preparer to the quality data and also are initiated by open data and we need
are initiated by open data and we need to start today it is undeniable that
to start today it is undeniable that aquaculture is an important sector for
aquaculture is an important sector for the economic growth of her country but
the economic growth of her country but to me the reasons why I care about big
to me the reasons why I care about big data but with culture and the reason why
data but with culture and the reason why I care about small farmers making good
I care about small farmers making good decisions it’s not just a Korean economy
decisions it’s not just a Korean economy theory it is possible by using big data
theory it is possible by using big data farmers can prevent crop losses and we
farmers can prevent crop losses and we can be assured that there is food on our
can be assured that there is food on our table I’m using big taylors farmers the
table I’m using big taylors farmers the little spray pesticides and necessarily
little spray pesticides and necessarily and we can be searching that our food is
and we can be searching that our food is safe by using big data farmers can apply
safe by using big data farmers can apply fertilizer
fertilizer needed our swirl and our rivers will be
needed our swirl and our rivers will be free of harmful chemicals and who will
free of harmful chemicals and who will have a sustainable environment after the
have a sustainable environment after the cyclone nargis many of Kunduz friends
cyclone nargis many of Kunduz friends put up and hit the jungle or a more
put up and hit the jungle or a more stable job I asked him the reason why he
stable job I asked him the reason why he still too far and he said farm
still too far and he said farm enterprise the basic need of a human
enterprise the basic need of a human life from food to clothing to shelter
life from food to clothing to shelter and I want to be one of the people who
and I want to be one of the people who support these basic needs for my
support these basic needs for my neighbors and for everyone on earth our
neighbors and for everyone on earth our assistance today and our sustainability
assistance today and our sustainability in the future depends on the decisions
in the future depends on the decisions like that made by small farmers like
like that made by small farmers like puyo and these decisions cannot be
puyo and these decisions cannot be gambled away let us empower our small
gambled away let us empower our small farmers with big data so that they can
farmers with big data so that they can make a lot of good decisions
make a lot of good decisions thank you very much
Please follow and like us: