CropIn, a leading SaaS solutions provider to agribusinesses globally, has won the AI Innovation Challenge 2019, organised by the Government of Maharashtra and NITI Aayog, in association with NASSCOM. The challenge was held earlier this month at Taj Vivanta, Mumbai. The AI Innovation Challenge is a platform for AI-based organisations to showcase their solutions and to collaborate with the Government of Maharashtra on a proof of concept.
In January 2019, Government of Maharashtra had invited applications from enthusiastic and passionate organisations from across India, that have developed artificial intelligence (AI) based solutions for social problems, to collaborate and partner with the Government in areas that include, but are not limited to agriculture, healthcare, education, smart mobility and water management.
Speaking on the challenge, Krishna Kumar, CEO & Founder, CropIn said, “We are happy to win the AI Innovation Challenge 2019 conferred by the Government of Maharashtra. This will be a great opportunity for us to work for a social cause for the farmers in Maharashtra. Making agriculture more predictable is the need of the hour and only technological disruptions can create impact at scale.”
CropIn’s ‘SmartFarm’ technology platform has reached 5 million acres of farmland across 2 million farmers. At the back end, CropIn’s data lake amplifies this ground-truth data with local weather information and high-resolution satellite imagery, which are the strong foundations of their AI-based solution platform called ‘SmartRisk’.
By analysing and interpreting this data for the 265 crops with nearly 3,500 variants on its platform across billions of data points that grow every day, CropIn is building an agri-information highway that detects patterns and predicts the future of the crop highlighting the risk and opportunity for agriculture stakeholders. CropIn provides real-time actionable insights to agriculture processors, distributors, inputs providers, lenders and insurers through its connector APIs. Additionally, CropIn’s algorithms can establish historical performance of every satellite image pixel at farm and regional level.