|| Shree Mumba Devi Prasanna ||


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15 Aug 2022
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Agri Technology


Cropin set up artificial intelligence lab, to bring predictive intelligence to every acre of cultivable land

Cropin set up artificial intelligence lab, to bring predictive intelligence to every acre of cultivable land

Cropin, the agritech pioneer, building the first global Intelligent Agriculture Cloud, announced that it has set up a new artificial intelliegence (AI) Labs.

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BENGALURU, 16 May 2022: Cropin, the agritech pioneer, building the first global Intelligent Agriculture Cloud, announced that it has set up a new artificial intelliegence (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 hyper local 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:

  •     According to the United Nations Environment Programme (UNEP), the global population will hit 10 billion people by 2050, and the world needs to produce 56 per cent more food than produced in 2010
  •     Cropin's global farmland computation initiative will have a deep impact on the $3 trillion food production value chain by 2025
  •     Reduce food losses by 35 percent thus safeguarding food security and sustainability
  •     Enable $0.5 Trillion agri lending globally and significantly improve the livelihoods of 2 billion+ farmers

Commenting on the launch of Cropin AI Labs, Krishna Kumar, Co-Founder & CEO, Cropin, said, "At Cropin, we are constantly focused on building technology that can enable and transform the agriculture sector. 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," Kumar underlined.

"The history of agriculture is replete with examples of continuous innovation and transformation. Technology adoption in the agriculture sector has been abysmally low in comparison with other industry segments. The primary reason being that these solutions were built elsewhere and retrofitted for agriculture use cases. 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," Praveen Pankajakshan - VP, Data Science & AI, Cropin, said.   

The company's AI/ML-powered predictive risk monitoring and mitigation solutions have registered a revenue growth of more than 110X between 2019 and 2022 and now account for 65 percent of Cropin's revenues.

The company’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.


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