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Cropin, the agritech startup, 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, as per the company, intelligence to every acre of the world's farmlands.
"At Cropin, we are constantly focused on building technology that can enable and transform the agriculture sector. Right from our founding in 2010, when no category called agritech existed, to today, we see the industry evolving from the digitization of farming to intelligent and data-driven agriculture,” said Krishna Kumar, Co-Founder & CEO, Cropin.
“Over the past few years, our Earth Observation & AI science research teams have built global intelligence models for agriculture that are already unmatched in terms of accuracy and scalability in the real world. Cropin's AI Labs will help us accelerate this effort to compute and bring the benefits of predictive intelligence to every acre of the world's farmlands,” he further added.
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 is doubling down efforts in solving some of the most complex challenges and opportunities in this industry with the launch of this initiative.
In a first of its kind initiative in the global agriculture ecosystem, this move will help accelerate digital adoption in the sector and transform agriculture into a sustainable, efficient, and data-driven industry: