We actively participate in pilot projects and tenders floated by government agencies and public sector institutions to deliver scalable, data-driven solutions for agricultural monitoring, planning, and policy-making.
Our work combines ground-level insights with cutting-edge technologies such as remote sensing, GIS, and AI/ML models to support national missions and improve agricultural outcomes at scale.
In 2019, we conducted yield estimation at the Gram Panchayat level across three states Maharashtra, Karnataka, and Madhya Pradesh for three key crops: Cotton, Tur, and Wheat.
This project, in collaboration with the Gokhale Institute of Politics and Economics (GIPE), Pune, employed multiple methodologies including Machine Learning models to provide granular and scalable yield forecasts
In Kharif 2024 and Rabi 2024-25 seasons, we carried out crop identification and area estimation across 7 states for 6 major crops using remote sensing technologies for the Department of Agriculture and Farmer’s Welfare, Government of India.
Our team collected over 1.5 lakh Ground Truth (GT) points using our custom mobile application, building a rich spatial database for large-scale agricultural analysis.
This multi-year engagement will continue, contributing to the development of new services and decision-support tools for the agriculture sector.
contact@semantictech.in
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