Intelligent Plant Disease Recognition and Supplement Recommendation System

The use of Artificial Intelligence (AI), transfer learning, and ResNet50 architecture in the AI Plant Disease Identification System transforms farming methods by effectively identifying crop diseases from leaf images of affected plants. By using pretrained models on extensive datasets of leaf samples, this groundbreaking system detects health problems in leaves and offers practical advice for managing diseases. the Intelligent Plant Disease Recognition and Supplement Recommendation System included in this platform serves as a reliable tool for farmers, offering precise disease identification and tailored supplement suggestions. The system has a low cost, avoiding the necessity for expert manual disease diagnosis, in-person farm visits, and trial-and-error supplement application. Moreover, the system is user-friendly, enabling farmers to upload photos of impacted plants and receive immediate diagnosis and recommendation via a mobile app or web platform that is easy to navigate. The accuracy of the system has been greatly improved to 99%, making it a highly reliable choice due to the decrease in false positives and false negatives. This AI-powered technology reduces costs and enhances accuracy by decreasing dependence on human skills, ultimately revolutionizing agricultural productivity and crop safety.