Multi-model Chatbot and Image Classifier for Plant Disease Detection

This study suggests a unique chatbot-assisted plant disease detection system that uses natural language processing (NLP) and image classification methods to give farmers an easily accessible tool for identifying plant illnesses and receiving treatment advice. The three main parts of the system are as follows: a user-friendly chatbot interface that allows for easy image uploading and retrieval of detailed disease information; a knowledge base of plant disease treatments and control measures that offers farmers customized treatment plans; and a strong image classification model that has been trained on an extensive dataset of plant disease images to accurately identify the disease. When the system’s efficacy is compared to current techniques, it shows itself to be more accurate at identifying diseases and establishes itself as a priceless tool for raising agricultural output and reducing crop losses.