The workshop is designed to provide participants with an in-depth understanding of the integration of Artificial Intelligence and Hyperspectral Imaging for crop disease detection and precision agriculture. With increasing demand for sustainable and technology-driven farming practices, the ability to identify plant diseases at an early stage has become critical for improving crop yield and reducing economic losses. This workshop will explore the scientific foundations of hyperspectral sensing, the role of spectral information in detecting subtle plant stress signals, and the use of AI-based models for accurate disease recognition and classification. It will further examine practical workflows, real-world applications, and current research trends in intelligent crop health monitoring. By combining conceptual learning with applied hands-on sessions, the workshop aims to equip researchers, academicians, and industry professionals with the knowledge and skills required to leverage advanced imaging and AI tools for smarter agricultural solutions.
