Chandigarh University researchers use Artificial Intelligence to develop Model for predicting Accurate Crop Yield; Innovation to benefit Indian Farmers

Researchers at Chandigarh University have developed an AI-powered Transformer Model that uses satellite imagery, climate data, and historical agricultural records to predict crop yields accurately.
The AI-powered model was showcased at the 2026 International Conference on Signal Processing and Electronics Design (ICSPED) and demonstrated high accuracy compared to conventional prediction methods.
The research aims to provide reliable crop yield forecasts to help farmers and policymakers to strengthen food security and improve sustainable agricultural practices.
The Transformer Model is lightweight, requires fewer computational resources while offering real-time monitoring and predictions, making it suitable for large-scale deployment in agriculture.
The developed model uses satellite data from European Space Agency’s Sentinel satellites, climatic variables, and historical crop production records to estimate crop performance.
The model has been tested on major crops in Ludhiana district and has proven to be more efficient and accurate than other widely used approaches.
The model’s efficient design allows for near real-time applications and early warning systems, with potential future developments on cloud-based platforms for broader AI adoption in agriculture.