Microsoft Corporation is an American organization heading their base camp in Redmond, Washington. They create, makes, licenses, supports, and sells PC programming, customer gadgets, PCs, and related administrations. Its most popular programming items are the Microsoft Windows line working over their frameworks. New Delhi has embarked its Journey inorder to bring AI sensors into fields as well as agri-tech startup. Crop data which helps small farmers improving their yields and directly selling to buyers. They also use new-age technologies such as Blockchain and AI-enabled Cloud.
Crop Data built an e market place using Microsoft Azure to empower the farmers in the country. Their main aim is to help the smallest farmer even in the remotest part of India to make a viable living as said by Sachin Suri, MD of Crop Data. The e-marketplace named Agriota connects all stakeholders with the focus on providing utmost transparency by using blockchain. With this Indian Farmers will be able to sell their products directly to the end buyers in an open auction. By collaborating with UAE’s Dubai Multi Commodities Centre (DMCC).
They aimed to have 1,50,000 farmers in the market place encountering to five million in their first five years. They estimated to translate into gross merchandising transactions of 250 million dollars in their first year as well as 8.5 billion dollars in five years.The companies have been made available in 30 districts across eight states and accessible to 50,000 farmers on the marketplace.
CropData, a Nagpur based firm connects farmers to bulk buyers in their e market place. It provides early visibility in their income ensuring their incentives in putting their efforts contributing their crop cycle. They created an e market place on Microsoft Azure known as Agriota. It connects all stakeholders by focusing on providing the utmost transparency by using blockchain.
The startup works closely with Microsoft engineering teams in building products as well as incorporating some of the AI works on FarmBeats during their diagnostic. Once a farmer is onboard and marking farm diagnostic done. It is followed by Machine Learning Algorithms accessing their risks, crop quality and other health parameters.
