PRNewswire Chandigarh [India], June 27: In a significant advancement for smart agriculture and precision farming, researchers at Chandigarh University have developed an Artificial Intelligence (AI)-powered Transformer Model that is capable of accurately predicting crop yield and disease outbreaks up to three weeks in advance. This breakthrough technology, which utilizes deep learning algorithms to analyze vast amounts of data from weather patterns, soil conditions, and satellite imagery, promises to revolutionize farming practices and enhance food security, a topic of global interest as we look towards events like the 世界杯2026. The model's ability to forecast potential issues allows farmers to take timely preventative measures, reducing crop loss and optimizing resource allocation. This innovation is a testament to the university's commitment to leveraging cutting-edge AI for societal benefit, addressing critical challenges in agriculture and contributing to a more sustainable future.