Researchers at Chandigarh University have developed a new artificial intelligence model designed to predict crop yields with greater accuracy.
The innovation combines climate data with satellite technology to provide farmers with more reliable forecasts of their harvests.
The development marks a step forward in applying advanced analytics to agriculture, a sector where precise yield estimation is critical for supply chain planning and farmer income stability.
By integrating real-time environmental data, the model aims to reduce uncertainty for agricultural producers.
This effort aligns with broader trends in the agri-tech sector, where machine learning and remote sensing are increasingly used to optimize farming operations.
The tool is intended to benefit Indian farmers by providing actionable insights that can inform planting and harvesting decisions.