Explainable Hybrid Generative Convolutional Intelligence for Early-Stage Cauliflower Leaf Pathology Detection in Smart Agricultural Ecosystems Introduction Agriculture plays a crucial role in sustaining economies and ensuring food security across the world. However, plant diseases continue to pose a major challenge to crop productivity and quality. Early identification of leaf diseases is essential to minimize crop damage, improve yield, and support sustainable farming practices. Traditional disease detection methods often rely on manual inspection by experts, which can be time-consuming, costly, and less effective in large-scale agricultural environments. To address these challenges, our research introduces an innovative AI-driven framework titled “Explainable Hybrid Generative–Convolutional Intelligence for Early-Stage Cauliflower Leaf Pathology Detection in Smart Agricultural Ecosystems.” The work was presented and published at the International Conference on Innovations in C...