viveka

Small and marginal farmers in India face significant crop losses due to delayed detection of plant diseases. Most rely on manual visual inspection, which often identifies infections only after severe damage has occurred, leading to reduced yield, excessive pesticide use, soil degradation, and financial instability. Limited access to agricultural experts and the lack of simple, multilingual digital tools further widen the gap in timely diagnosis and sustainable treatment guidance. There is a need for an affordable, AI-powered, mobile-based system that enables instant crop disease detection and provides eco-friendly treatment recommendations in regional languages.