AI-Powered Digital Public Infrastructure for Agriculture with Services to Farmers, Officers, and Policy Makers with Plot-to-State Level Monitoring

Farmers and agriculture departments across India face persistent challenges due to fragmented data systems, limited real-time field visibility, and delayed advisory services. Critical decisions related to sowing, irrigation scheduling, pest and disease management, and extreme weather preparedness are often based on incomplete or outdated information. Traditional manual monitoring mechanisms are resource-intensive, slow, and unable to provide plot-level insights at scale, leading to avoidable crop losses, inefficient input use, and reduced farm incomes. In Kerala, these challenges are further compounded by diverse cropping patterns, climate variability, and the need for rapid response to floods, droughts, and pest outbreaks. Farmers also struggle to access timely scheme benefits, soil testing services, market price intelligence, and trusted buyer linkages. To address these gaps, KATHIR creates an AI-powered Digital Public Infrastructure for Agriculture that integrates remote sensing, GIS, IoT, predictive analytics, and GenAI. It enables unified farmer and farm data, plot-level advisories, pest forewarning, irrigation intelligence, crop loss assessment, and market connectivity, ensuring resilient, efficient, and inclusive agricultural service delivery.

Vassar Labs is an MIT alumnus founded climate tech company. We leverage technologies such as AI, GIS, IoT, Cloud Computing, Remote Sensing, Big Data, and Digital Twins to build solutions for effective monitoring and management of Water, Energy, Disaster, Agriculture and Smart Cities. Wherein our key focus involves building scalable digital public infrastructures that are interoperable and cloud agnostic. Founded in the year 2014, our innovative approach integrates a range of advanced technologies. This allows us to develop real-time digital twins for weather and water systems, providing solutions that are forward-looking and impactful. In the past 10+ we have developed Decision Support Systems, spanning across country, state, river basin, city, and village scales, utilizing a multidisciplinary approach. These Systems integrate remote sensing technologies, weather data, land surface physics, IoT sensors, crop models, hydrology, hydraulics, consumption models, demand models, and machine learning. The systems provide real-time simulation of water and agriculture systems, addressing critical needs such as water availability, demand estimation, distribution optimization, irrigation scheduling, flood forecasting, reservoir release management, hydropower optimization, and drought prediction. Vassar Labs serves a diverse range of global clients, spanning from Government agencies at Federal and State Governments, local municipalities, and Fortune 500 companies to esteemed international organizations like the World Bank, UNDP, and ADB. Our clientele encompasses river basin authorities, hydropower generators, disaster management agencies, insurance companies, and irrigation OEMs/SIs. Furthermore, we collaborate closely with esteemed institutions such as the National Ground Water Boards, Multilateral Banks, ULBs, Research Institutions and Command Area Development Authority, delivering tailored solutions to meet their unique challenges effectively. Vassar Labs has implemented over 30+ large-scale global deployments, guided by our mission to leverage emerging technologies for sustainable development and climate adaptation.