跳到主要内容
一位农夫的照片有一个绿色领域的在背景中

Crocadata如何使印度的小农梦想大

使用AI,区块链和云,Cropdata正在帮助印度的小农改善其产量并直接出售给买家

As we connect over a Teams video call on a rainy Bangalore afternoon, and scan each other’s backgrounds for bookshelves, something else catches my attention. Behind Sachin Suri, the managing director of CropData, is an abstract painting that seems to have a collage of tiny, colorful rectangular pixels. So instead of diving into the challenges of farmers in India, I start my conversation with Suri by asking him about the painting. Who knew it’d be the perfect context-setter for this interview.

“It’s not a painting,” he clarifies. “This is actually a spectral analysis satellite image of farms. Each tiny spot, or a geo-spatial tile, is an actual field in Punjab and the different colors denote the stress levels in individual farms.” This ‘painting’, that we now know not to be a painting, has a direct correlation with CropData’s vision and mission.

坐在膝上型计算机前面的一个人的照片看照相机
Sachin Suri,董事总经理,Champdata在他的纳格普尔办事处。背景中的“绘画”是农场的频谱分析卫星图像。每个小点或地理空间瓦片是旁遮普邦的实际场,不同的颜色表示各个农场的应力水平。(照片:crocdata)

“These images underline the fact that every farm is different. Forget at a state or district level, our data shows that even adjoining farms can have significant variation in farm health parameters. Painting them all with the same brush for government schemes like insurance, subsidies, and even minimum support prices is a gross injustice to farmers,” Suri says.

类似的框架像他的桌子后面的一个,在马哈拉施特拉邦的纳哈拉斯特州纳格尔·纳哈拉斯办公室的墙壁上装饰了一个州,这是一个目睹了长期的干旱和农民自杀的国家。图像不仅仅是迷人,而且还发送消息。

“我们的宗旨是帮助印度最偏远的部分中最小的农民成为可行的生活,”他说。

我们的目的是帮助印度最偏远的部分中最小的农民做出可行的生活。

CropData在云,AI和机器学习算法以及区块链技术的帮助下,试图解决这些挑战。该公司刚刚为印度农民推出了一个扩展区的电子市场,以便直接向最终买家销售产品,以与阿联酋的迪拜多商品中心(DMCC)合作。

从我们的谈话中有一些编辑的摘录,苏利谈论Crocata如何使用Microsoft Azure的能力来赋予印度农民的能力。威廉希尔体育官网

Why did you start CropData?

We initially started CropData as a risk management and advisory service that we’d provide to farmers and governments. We studied the entire value chain right from the time a farmer decides to grow a particular crop, buy the seeds, all the way to harvesting to reaching the end buyer. We mapped government policies to see where the gaps lay.

But when we met farmers, they didn’t want our建议 - 他们have been farming for generations, after all. The only thing they were interested in was whether we could help them increase their income. So we ended up building a trusted platform where we connect farmers to bulk buyers and sell their produce.

有趣。似乎农民面临挑战的挑战,而不是其他任何东西?

The entire agriculture industry, in a way, is skewed towards promoting inefficiencies.

Unlike farmers in developed countries who have large farms, Indian farmers have very small land holdings. In the absence of farm-level granular data you can’t provide the right advisories to farmers that will work in their fields or help them stabilize their production.

因此,政府咨询在一个地区一级产生。即使是农场补贴和保险产品也在国家级定制。由于在收获时没有科学意味着预测产量和收入,农民对金融机构的信贷难以获得投入成本的困难时期。他们依靠非正式的金钱贷款人,不利的条款。

在销售产品时会变得更糟。在市场上销售市场的价格没有透明度,价格销往最终买家的价格。目前的系统不会奖励具有更高质量产品的农民,因为无论生产质量如何,都有一个作物的固定最低支持价格。

在一天结束时,农民没有任何激励,以提高努力提高产出质量。看到农民加入水和污垢以增加他们的农产品的重量并不罕见。

这听起来不知不觉。那么Cropdata如何帮助这些农民?

到目前为止,印度的农民不得不等到他们的作物被收获,以获得他们制造的收入感或他们可以在一个主要依赖于猜测的基础上进行高级交易。我们已将其转换为科学贸易,以帮助农民在提前交易获得更好的价格。

通过我们的技术,我们将农民联系在我们的电子市场上的批量买家,根据您的农场的预测质量和产量,收获在作物周期早期对冲。这使农民能够提前了解其收入,并确保他们有激励措施,以投入作物周期的所有努力。

To do that, we’ve created an e-marketplace on Microsoft Azure called Agriota that connects all stakeholders with a focus on providing utmost transparency with the use of blockchain. We have partnered with DMCC for the platform. It’s an open auction process where we represent the farmers and all that farmer has to do is work on this field diligently to get the best possible yield and quality.

通过我们的技术,我们将农民联系在我们的电子市场上的批量买家,根据您的农场的预测质量和产量,收获在作物周期早期对冲。这使农民能够提前了解其收入,并确保他们有激励措施,以投入作物周期的所有努力。

卖掉庄稼几个月的收获听起来很有趣。但它是如何工作的?

一旦我们船上,我们就会在农场执行诊断。这包括伴随着天气相关性的作物健康评估,空中图像,种植的种子,它们如何种植,压力水平等等。我们称之为Krishi Module博士(克里希尼在印地语中意味着农业)。

一旦我们完成了地面诊断,我们的机器学习算法接管了,帮助我们了解农场的健康和预期的收益和质量。它还可以帮助我们在俱乐部一起在风险,作物,质量和其他健康参数方面类似的农场。

This is one of our biggest inventions–the farms are not adjacent to each other, but they demonstrate the same parameters. By clubbing small farmers with larger farmers, we provide these smaller farmers the economies of scale and fair price that a large farmer would get. This clubbing also helps us to provide farmers access to institutional credit at favorable rates.

We bundle farms by their risk profile and assign them a credit rating, just like you have housing loans in the west, which helps financial institutions assign loans with confidence.

拿着片剂和分析庄稼的农场的一个人
Krishi博士专家访问农场进行地面诊断。(照片:crocdata)
Cropdata的Geo空间瓦片管理系统的屏幕截图
Combining satellite imagery with on-ground diagnostics, weather patterns and other parameters, CropData clubs together farms that are similar in terms of their risks, crops, quality, and other health parameters. Buyers will soon be able to get insights at an individual farm level.

这解释了农民的益处。但是买家的内容是什么?

就像我之前提到的那样,农民和传统买家之间存在很多不信任。我们通过为价格发现和无法预料的风险透明提供中性,为每个人提供中性,无偏见的系统来删除。电子市场使用区块链交易智能合同,我们提供与印度最大的银行之一的托管银行服务,以防止任何管理资金。

最终的买家还可以在接收产品的时间内获得定期更新的可见性。我们增强了与价格分析,报告和地理空间数据的深度贸易分析。我们还向他们提供二级市场选项,他们可以重新交易,甚至清算其现有职位。

How did CropData start its association with Microsoft and what has the experience been?

Initially we started off with only our marketing platform on Azure. But the kind of support and hand-holding we received from Microsoft, be it industry connects or programs like威廉希尔体育官网微软为Agritech启动at the beginning of our engagement was so impressive that we moved all our platforms and services to Azure. We are also working closely with Microsoft’s engineering teams to build our products and incorporate some of the AI work that has been done on FarmBeats into our workflows during the diagnostics process.

考虑到当前的Covid-19情况,我们必须重新思考地面上培训人民威廉希尔体育官网微软社区培训(MCT,Erstwhile Project Sangam)作为一个神秘来。我们对员工的所有培训,就是从基础进入深入,现在正在通过MCT在线进行。一个好处是他们可以在他们愿意的情况下自己通过培训视频,并可以选择重新审视任何视频。我们在平台上发布视频,并与将其分享到消息传递应用程序或电子邮件,我们知道他们是安全的,他们无法滥用。另一个优点是我们能够根据他们公司的位置和角色向员工推出视频,因此学习模块是为它们定制的。

与微软合作觉得据说与合作伙威廉希尔体育官网伴合作,这是一个令人难以置信的旅程。

现在电子市场居住,告诉我们现在正在发生的事情以及接下来是什么?

我们现在在八个州的30个地区拥有足迹,我们在谈论我们谈论的情况下,我们的存在仍然是由于Covid-19使用我们创建的优先级算法,我们谈论了。我们推出了18种商品的Agriota,每种商品都可以在五到十个品种之间有任何地方。我们现在拥有超过50,000多名农民在市场上。

Our data platform called Geospatial Tile Management will continue to aggregate more data to provide insights at even more granular level. Currently, we provide analytics up to village level and soon our buyers will be able to zoom all the way up to farm level data.

在我们的第一年,我们的宗旨是在第一年在市场上拥有15万农民,五年来触及超过500万农民。这是我们估计的,将转化为第一年的2500万美元的交易总值,五年美元兑美元。