The Benefits of Machine Vision

[Music]

[Applause]

i’m delighted

and honored to be here to tell you my

story

it is about how the company i co-founded

listen feel you make life better for

farmers

and for the rest of us i believe that

our api integration platform will help

farmers to produce more clean food

in the way that make our planet more

sustainable

i grew up in bangna the village of paddy

fields

in the kona york province 100 kilometers

from bangkok

i was typical of many thai girls until

we lost my father when i was just 14

years old

we felt like we were in the small boat

lost at sea we suffered

but along the way good thing has also

happened

so much so that i’m able to be here with

you today

i was a good student but never the best

i did not like the routine of standing

in the sun for smb

each morning before the cast begin

so i try to sneak over the school

friends just before the class begin

definitely not a good long term strategy

i found a better way i volunteered to

help look after the school computers

every morning it was from this

that i learned to write and do my last

computer program

programming remained and important of my

life to this day

one thing led to another and one day

i obtained a degree in computer study

from king mongood institute of

technology like

bang i then continue my study at

asian institute of technology

my thesis apply advanced image

processing technology

to convert two-dimensional digital

images

into three-dimensional shape of corals

in so doing we were able to monitor

the growth and determine the health of

coral reefs

i then turned my interest to agriculture

a proud moment for me was the success

we had in boston in real time

images of spinner’s plants in xiangdao

to the university of tokyo our sensor

also monitor soil acidity

availability of water temperature

and moisture in the air

why was this important japan used to

impose spinach from another country

but foul chemical residues and need to

find another sort of surprise

when processed and analyzed

chiang dao images allow japanese

consumers

to see with their own eyes how we

in thailand are growing fresh organic

spinach

using the minimum amount of fertilizer

we want japanese consumer confidence

they know about the thought of surprise

and can see with their own eyes

how spinach spent growing in real time

back then in 2006 there was no internet

in chiang dao

a remote part of thailand so we built

field server essentially computer

that processed the data on site

in the field to economize on the use of

information which was then transmitted

via ipsta satellite to the computer

network had

information on the screen

this project create

a lot of winner and with this

we in thailand our technology

can empower huge high farmers

to grow fresh organic spinach

which won japanese consumer confidence

moreover this birthday also attacked

such a wide interest

that more japanese academics visited the

area

they kindly gained more scholarship to

huge high children to further their

education

this project creates many winners and

it opened up a new world for me from

then on

i knew what i was born to do and this is

what listenfield will do

in the years to come i then received

a scholarship from the national

agricultural research institute

of japan professor kiyoshi honda was my

advisor

he guided me to do a phd dissertation

at chubu university in nagoya

on an api integration platform

for economic models definitely

not a catchy title but

i believe that our work could be an

important

contribution to precision agriculture

because it provides insight into

three things which are most important

for all plants

first is soil japan already survey

and therefore know the quality of the

country top soil

the top 15 centimeter using this data

and deeper soil sample i built what i

call

a soil fusion model that can determine

deeper soil sample

deeper to 60 centimeter that can tell

about the soil quality everywhere in

japan

this information available for anyone

using api

second is climate and weather condition

for this i use 30 years of

climatological data

as the benchmark this weather pattern

can determine the climate condition

at precise location with the help of

on-site sensor

our sensor monitor rainfall

and combined with past data can help

anticipate short-term trends

our sensors also monitor moisture

and other factors that are important for

plant growth

that is our model can provide

detailed and timely data about climate

conditions

as well as their outlook at precise

location

anywhere in japan first

is cultiva coefficient

plants have their own unique genotype

this means that they will grow and

reproduce

differently in the response of

environmental condition

this cultural fight that listenfield

have put together

can help tell you how your plants

are growing under prevailing condition

even better we can tell you

how your plants will turn out if they

are fed differently

or if the soil or climate condition

change

it is as if you can see the food

being digested and how this food is

making your body grow

putting all these things together we now

have a very powerful platform

that can produce actionable data

this information allows farmers

to improve their crop yields using the

right amount of fertilizers

at the right places and at the right

time

farmers would also know the best type of

crop to plant in a particular area

as their crop grow farmers would be

given

early warning to avoid costly

infestation

finally our technology

could also tell farmer when is the best

time to plan

and when is the best time to harvest

that crop

how does all these come together in

terms of serving the planet

in 2019 listenfield received

the undp low carbon award

the undp evaluated our farming model

and estimate that we could deliver

an average of 48 to 66

reduction of carbon dioxide emission

compared to conventional farming

to further develop

we set up listenfield japan

i’m glad to say that professor kiyoshi

honda

was my co-founder for this company

the name listenfield reflects our

realization

that nato have always been trying to

tell us many important things

if only we could know how to

listen taking one step further

listenfield is now looking at dna

sequencing of plants

this is how the plants interact with

environmental condition

can produce the quality in fruit and

vegetable

that we desire texture

taste nutritional content

and so on

another technology that we are using to

help farmers to produce

more clean food and more more productive

is multi-spectral emerging technology

this technology allow machine to see

what we human cannot see a kind of

exploration from the sky

how is this useful i will give you two

examples

first is to manage nitrogen stress

multispectral imaging can help determine

whether crop have enough fertilizer

at particular location in the pot of

land

then we can manage fertilizer by added

or cut back

and then we can also help

farmer to maintain the high yields as

well as

manage the minimum amount of fertilizer

in some plants if we add too much

fertilizer

it increase the risk of lodging

which means that the stem of the plants

bend

over making is very difficult to harvest

the grain

and gas re-reduce the yield this is how

we economize on the use of fertilizer

and at the

same time maintaining high yields

second example is we use multi-spectral

images

to manage water stress

for example in oranges

if not enough water oranges cannot

survive

but just enough water stress

the oranges will become sweeter

this is what i’m saying machine vision

in this case multi-spectral imaging

is precision agriculture that

would help farmers to cut cost

risk output and making our planet

more sustainable at the same time

not long ago we submitted our technology

and our model to japanese

to the government of japan

it is now a part of japan agricultural

reform i believe that

japanese authorities think as we do

that investing and an in an api

integration platform

could help to transform agriculture

practice into precision agriculture

this could be the technological

infrastructure

that helped redefine agriculture

into precision agriculture

and can help farmers to produce

the better product at the same time

i also set up listenfield thailand

two years ago to promote adoption of

this technology

while in my country we made a good

progress

there are 30 000 farmers on our platform

over farmland of seventeen thousand

hectares

more importantly seventy percent of

our farmers are producing organic

farming

in general agricultural data in thailand

is

numerous but really fragmented

and scattered and therefore not helpful

for thai farmers

our api integration platform will

integrate this data

in such a way that farmers can easily

use them

to make informed important information

important decision in terms of

planting harvesting

and minimizing cost

imagine how comforting it will be

for farmers if they could see

their fields in all dimension

up close with our machine vision

imagine how farmer welfare

will improve if

uncertainty about their harvest are

greatly reduced

imagine how assure

we consumers would feel if we know that

chemical use have been reduced to a

minimum

i believe that our api integration

platform

with machine learning technology

could help to transform agricultural

practice

into precision agriculture at the same

time

help farmers to produce more

better product

my life story have given me

some important lessons

if something fascinates me i will do my

best

to list out for it in life

i have to deal with many setbacks

a lacking skill such as english

this being that i need to work myself

much harder to limit my endurance

but working hard have been rewarding

so far i only have to cope with

setback never failer

i cannot claim that i found success

but i can say this many people that i

have met

have been really kind and thoughtful

i always admit that i don’t know

please help me learn and i will show

them that

i will work really hard to learn and

truly understand it

the bottom line is this

whenever i was given the opportunity

i would never back away

it is a great privilege for me to be

here with you today

but all good things must come to an end

i would like to leave you with this

thought

where you come from need not matter

this is about how you decide what you do

today and every day to

defy your life tomorrow

promise yourself as i have made promise

to myself

live your life in the way that make this

world a better place

find time to be nice to yourself

but always be nice to your neighbor

and please listen to

what our planet is telling us

my name is la celine chinese and i thank

you very much for watching my talk

cool swadica

[Music]

you

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[掌声]

我很高兴

也很荣幸能在这里向您讲述我的

故事,

这是关于我共同创立的公司

如何让

农民

和我们其他人的生活变得更好 我相信

我们的 api 集成 平台将帮助

农民生产更清洁的食物

,使我们的星球更

可持续

我在班纳长大,距离曼谷 100 公里的科纳约克省的稻田村

我是许多泰国女孩的典型,直到

我们失去了我的父亲 我当时只有 14

岁,

我们觉得我们就像在一艘

迷失在海上的小船上,我们遭受了痛苦,

但一路上也

发生了

很多好事,所以我今天能够和

你在一起,

我是一个好学生,但从来没有 最好的

我不喜欢

每天早上在演员表开始前站在阳光下的例行公事

所以我试着在上课前偷偷溜过学校的

朋友 这

绝对不是一个好的长期策略

我找到了一个更好的方法 我自愿

帮忙看看 每天早上在学校的计算机之后

,我就是从这里学会了编写和完成我最后的

计算机程序

编程仍然对我的生活很重要

直到今天

一件事导致另一件事有一天

我获得了

国王蒙古德学院的计算机研究学位

像 bang 这样的技术

然后我在亚洲理工学院继续我的研究

我的论文应用先进的图像

处理

技术将二维数字

图像

转换为珊瑚的三维形状

这样我们就能够监测珊瑚

的生长并确定它们的健康状况

珊瑚礁 然后我将兴趣转向农业

对我来说,一个值得骄傲的时刻是

我们在波士顿取得的成功 向东京大学

实时发送香岛纺纱植物的图像

我们的传感器

还可以监测土壤

酸度、水温

和空气湿度

为什么这个重要的日本被用来

从另一个国家进口菠菜,

但化学残留物很臭,需要

另寻出路

处理和分析

清道岛图像时的某种惊喜让日本

消费者亲眼看到我们

在泰国如何使用最少的肥料种植新鲜有机

菠菜

我们希望日本消费者相信

他们知道惊喜的想法

并且可以看到 亲眼

目睹菠菜如何

实时增长 2006 年

泰国的偏远地区清道没有互联网,所以我们建造了

现场服务器,本质上是计算机

,在现场处理现场数据,

以节省信息的使用

然后

通过 ipsta 卫星传输到计算机

网络

屏幕上有信息

这个项目创造

了很多赢家 有了这个,

我们在泰国的技术

可以使巨大的高

农种植新鲜的有机菠菜

,这在这个生日也赢得了日本消费者的信任

攻击了

如此广泛的兴趣

,以至于更多的日本学者访问了

他们所获得的地区 为高年级学生提供更多

奖学金以继续他们的

教育

这个项目创造了许多获奖者,

它为我打开了一个新的世界

从那时起

我知道我生来就是为了做什么,这就是

我在未来几年里听菲尔德会做的事情

获得日本国立

农业

研究所奖学金 本田清教授是我的

导师,

他指导我

在名古屋中部大学

就经济模型的 api 集成平台

做博士论文,这绝对

不是一个吸引人的标题,但

我相信我们的工作可以 是

对精准农业的重要贡献,

因为它提供了对所有植物

最重要的三件事的洞察力,

首先是土壤日本已经进行了调查

,因此

使用这些数据

和我建立的更深的土壤样本了解了该国表层土壤的质量,前 15 厘米 我

称之为土壤融合模型,可以确定

更深至 60 厘米的更深的土壤样本,可以

说明 日本各地的土壤质量

这个信息可供任何

使用 api 的人使用

第二个是气候和天气

状况 我使用 30 年的

气候数据

作为基准 这种天气模式

可以在现场传感器

的帮助下确定精确位置的气候状况

传感器监测降雨

并结合过去的数据可以帮助

预测短期趋势

我们的传感器还可以监测水分

和其他对植物生长很重要的因素,

我们的模型可以提供

有关气候条件的详细和及时的数据

以及它们在精确位置的前景

日本的任何地方首先

是栽培系数

植物有自己独特的基因型,

这意味着它们会

根据环境条件以不同的方式

生长和繁殖

我们可以告诉您

您的植物将如何生长 如果他们

的喂养方式不同,

或者土壤或气候条件

发生变化

,就好像您可以看到食物

被消化以及这些食物如何

使您的身体成长

将所有这些东西放在一起,我们现在

拥有一个非常强大的平台

,可以生产 可操作的数据

此信息使农民

能够

在正确的地点和正确的

时间使用适量的肥料

来提高作物产量

警告避免代价高昂的

虫害

最终我们的

技术还可以告诉农民什么时候是计划的最佳

时间

以及什么时候是收获该作物的最佳时间

在 2019 年为地球服务方面,所有这些如何结合在一起 listenfield 获得

了联合国开发计划署低碳奖

开发署评估了我们的农业模式,

并估计与修道院相比,我们可以

平均减少 48 到 66

的二氧化碳排放量

为了进一步发展

我们在日本设立了日本听田

我很高兴地说,本田清教授

是我在这家公司的联合创始人

听田这个名字反映了我们

意识到北约一直试图

告诉我们许多重要的事情

,只要我们能 知道如何

倾听 更进一步

listenfield 现在正在

研究植物的 dna 测序

这是植物与环境条件相互作用的方式

可以生产出我们想要的水果和蔬菜质量

质地

味道 营养成分

等等

我们正在使用的另一种技术

帮助农民生产

更清洁的食物和更高的生产力

是多光谱新兴技术

这项技术让机器

看到我们人类看不到的东西这是一种从天而降的

探索这有什么用我先给你举两个

例子是管理 氮胁迫

多光谱成像可以帮助

确定作物

在特定位置是否有足够的肥料 ot 的

土地

那么我们可以通过添加或减少肥料来管理肥料

,然后我们还可以帮助

农民保持高产以及

管理

一些植物中的最低肥料量如果我们添加过多的

肥料

会增加倒伏的风险

意味着植物的茎

弯腰使

收获谷物

和天然气变得非常困难重新降低产量这就是

我们如何节省化肥的使用

同时保持高产量

第二个例子是我们使用多光谱

管理缺水压力的图像

,例如在橙子中

如果没有足够的水橙无法

生存,

但只要有足够的水分

压力,橙子会变得更甜,

这就是我所说的机器视觉

在这种情况下多光谱成像

是精准农业,

可以帮助农民 削减成本

风险输出,同时让我们的星球

更加可持续发展

不久前,我们向日本政府提交了我们的技术

和我们的模型

它现在是日本农业改革的一部分

我相信

日本当局认为,正如我们所做的

那样,投资和 API

集成平台

可以帮助将农业

实践转变为精准农业,

这可能

是帮助将农业重新定义

为精准农业的技术基础设施

和 可以帮助农民

生产更好的产品,同时

两年前我还成立了listenfield thailand,

以促进

这项技术的采用,

而在我国,我们取得了很好的

进展

,我们的平台上有30 000名农民在

1.7万公顷的农田上

更重要的是,我们 70%

的农民在生产有机

农业 总体而言,泰国的农业数据

众多,但非常分散

和分散,因此

对泰国农民没有帮助,

我们的 api 集成平台

将以农民可以轻松使用的方式整合这些数据

提供知情的重要信息

种植收割

和最小化成本方面做出的重要决定

想象一下

,如果农民能够通过我们的机器视觉近距离看到

他们的田地,这将是多么令人欣慰

想象

如果

他们的收成的不确定性

大大降低,农民的福利将如何改善

想象如何确保

如果我们知道

化学品的使用已经减少到

最低限度,我们消费者会觉得

我相信我们的 api 集成

平台

与机器学习技术

可以帮助将农业

实践

转变为精准农业,同时

帮助农民生产更多

更好的产品

我的生活故事 给了我

一些重要的教训

如果有什么让我着迷我会尽我

所能

在生活中列出它

我必须应对许多

挫折缺乏英语等技能

这是我需要

更加努力地工作以限制我的耐力

但是 到目前为止,努力工作一直有回报

,我只需要应对

挫折,永不失败,

我不能 没有声称我找到了成功,

但我可以说我遇到的很多

人都非常善良和体贴

我总是承认我不知道

请帮助我学习,我会告诉

他们

我会努力学习和

真正理解它

的底线是,

只要我有机会,

我就永远不会退缩

你来自哪里 无关紧要

这关乎你如何决定你今天做什么

每天

挑战你明天的生活

承诺你自己 就像我向自己承诺的那样

过你的生活 让这个

世界变得更美好

找时间 对自己好,

但永远对你的邻居好

,请听

我们的星球告诉我们

我的名字是 la celine chinese,我

非常感谢你观看我的谈话

cool swadica

[音乐]