With AI models and knowledge built and tested over the years, Cropin’s AI Labs scientists will bring intelligence to every acre of the world’s farmlands
Cropin announced that it has set up a new AI Labs. With an initial team of 30 members comprising Earth Observation Scientists, Data Scientists, Agronomists and AI/ML Researchers, the AI Labs will focus on studying and ‘computing’ cultivable lands worldwide. Leveraging the contextual convergence of earth-observation data, geo-fenced field data, AI models and knowledge built and tested over the years, Cropin’s AI Labs scientists will bring intelligence to every acre of the world’s farmlands.
The complex process of ‘Agri asset computation’ brings together hyperlocal historical and forecasted weather data, soil information, agro-climatic conditions, seed genetics, global crop sowing and harvesting patterns, management practices, agronomical knowledge, land records, farmer KYC and other farming insights, all under one umbrella. Cropin’s proprietary knowledge graphs are created on trillions of farm pixel datasets that continuously grow and multiply in time & space, allowing the company to build and implement the various AI models in any country in the shortest possible time.
“Cropin’s AI Labs is on a mission to solve the most complex and challenging research problems in Agriculture by custom-building these solutions as an intelligence stack for all the world’s farmlands and help accelerate this transformation. These are foundational blocks that play a critical role in future-proofing agriculture and influence the future of food security. We are excited and determined to fuel the next wave of agriculture transformation for our planet. Cropin is revolutionising the ‘AICulture for Agriculture’ and what is good for the planet is great for us!” said Praveen Pankajakshan, VP, Data Science & AI, Cropin.
Cropin is doubling down efforts in solving some of the most complex challenges and opportunities in this industry with the launch of this initiative. Cropin’s Data and Insight Platforms provide businesses with actionable insights on crop identification and yield estimation; crop health monitoring, biotic and abiotic stress risk mapping, predicting harvest, irrigation & water usage management; and greenhouse gas emission monitoring and climate-smart agriculture advisories.
