Participants will develop AI models to classify crop diseases with high accuracy using real hyperspectral imagery. The task focuses on distinguishing between wheat stripe rust, healthy crops, and other conditions by leveraging the rich spectral and spatial data provided by hyperspectral images. The goal is to enable early and reliable disease detection, empowering farmers with actionable insights to improve productivity and sustainability.