![Separator Separator](/images/line.png)
Cropin Technologies Launches Agri-Intelligence Solution With Google's Gemini
![Separator Separator](/images/line.png)
Bangalore-based agritech firm, Cropin Technologies launched a new service, Sage, agri-intelligence solution with the help of Google's Gemini generative artificial intelligence chatbot to help users create grid-based maps of agricultural land and obtain localized information, such as the area's crop output.
Powered by Google Gemini, Sage is viewed as the first real-time agri-intelligence system in the world.
Till date, Cropin Sage has transformed about 16 million+ land on the globe into a proprietary grid-based map with dimensions of 3 x 3 meters, 10 x 10 meters, or 5 x 5 kilometers.
With accuracy and speed it provides data and intelligence at nearly any scale.
It is particularly useful in aiding Consumer Packaged Goods (CPG) companies, seed manufacturers, food processors, multilateral organizations, financial institutions, and governments to make informed decisions on cultivation practices, crop, irrigation, climate, and soil can now be made by.
Agri-food companies will be able to future-proof their supply chains and manufacturing methods with the Cropin Cloud platform.
Cropin helps to boost crop production in a sustainable and environmentally friendly way with technologies including machine learning (ML), generative artificial intelligence (AI), multi-layered global climate data, earth observation data, global agricultural knowledge graphs, and sophisticated crop models.
Depending on the demands and requirements of its customers, Cropin is said to develop and implement service globally in stages.
Customers can use the new service to obtain data on 13 important crops, such as maize, rice, wheat, and potatoes, which together account for about 80 percent of the world's food supply.
Depending on the demands and requirements of its customers, Cropin is said to develop and implement service globally in stages.
Cropin is scaling operations in Sage in real-time in response to demand, through Google Kubernetes Engine services. Additionally, it generates grid-based data by converting user queries to SQL (standard query language) using the Gemini Flash 1.5 architecture.