Smart Crop Doctor: An AI Driven Chilli Plant Disease Detection

Abstract: Agriculture is one of the most important sectors that supports food production and the economy. Chilli cultivation is highly affected by several diseases that reduce crop quality, productivity, and farmers’ income. In many rural areas, farmers still depend on manual inspection and agricultural experts to identify plant diseases. This process is often time-consuming, expensive, and not easily accessible to all farmers.

To address this issue, the proposed system “Smart Crop Doctor” introduces an intelligent and user-friendly solution for automatic chilli plant disease detection. The system uses Artificial Intelligence and Deep Learning techniques to analyze chilli leaf images and identify diseases accurately. A transfer learning model called MobileNetV2 is used to classify healthy and infected leaves with improved prediction performance.

In addition to disease detection, the system also provides treatment suggestions, prevention methods, expert consultation support, and crop management guidance. The application is developed as a web-based platform so that farmers can access it easily using computers or mobile devices. The system also stores crop history and diagnosis records for future monitoring and analysis.

Experimental observations show that the proposed framework provides reliable disease prediction, fast response time, and practical support for farmers. The system helps in early disease identification, reduces crop losses, improves productivity, and promotes modern smart farming practices.

Keywords: Smart Agriculture, Plant Disease Detection, Deep Learning, MobileNetV2, Chilli Leaf Classification, Precision Farming, AI Advisory System