Cropin, backed by Google, aims to predict the future of global food supply with AI
This tool can help decision-makers get information about crop yield, behavior, and other issues such as climate, farming practices, and soil in their local language.
Sage, an AI-real-time intelligence platform that can predict future yields for 13 major crops, was developed by Bangalore-based Cropin Technology Solutions. Employing Google Gemini AI from Alphabet Inc., Sage Mondializes Global Food Supply and converts it into a Sage grid map, making accurate predictions using the database information.
This tool can help decision-makers get information about crop yield, behaviour, and other issues such as climate, farming practices, and soil in their local language. Sage solutions are related to such crops, which fulfil 80% of the global food demand, focusing on the main problems of the farming industry with artificial intelligence methods.
Krishna Kumar, Cropin’s founder and chief executive officer, said, “To predict the future of a particular crop is a major leap, and we see entire industries go into turbulence on account of shortfalls in, say, cocoa or orange crops.”
As the global populations grow and climate change has started to bring food insecurity to the forefront, the large language models and generation AI have the possibility to transform modern agriculture. Many of the above technologies can be used not only for the purpose of planning crop production and making cultivation decisions by many of the stakeholders, like consumer packaged goods firms, seed makers, financial institutions, and even governments.
Overall, global agricultural area covers 4.8 billion hectares, as per Cropin. The company combines generative AI with four decades of climate, earth data, and knowledge graphs to understand each crop on a country level and predict how a particular crop will perform this season, next year, or in the next five years.
Kumar further stated, “We have the technology to predict, for example, which variety of potato will yield optimally in certain grids in Idaho or Kenya, helping a prominent chipmaker customer to plan their supply chain.”
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