Integrated Agricultural Advisor: AI Chatbot for Crop Disease Detection and Recommendations

Abstract

The AI Chatbot for Plant Disease Detection and Recommendation System is an integrated web platform utilizing computer vision, machine learning, and recommendation algorithms. Users can upload plant images for instant disease diagnosis (e.g., fungal infections, bacterial blight) with treatment suggestions, while also receiving tailored crop/plant recommendations based on soil type, climate, location (like Telangana, India), and farming constraints. This dual- function tool enhances agricultural productivity, minimizes losses through early intervention, and promotes optimal planting choices via conversational AI, accessible on mobile browsers for real-time decision support The proposed system integrates computer vision, machine learning, and recommendation techniques to assist farmers in disease detection and crop selection [1], [5]. It enables real-time diagnosis using convolutional neural networks and provides recommendations based on environmental parameters [2], [6].

Code and data availability

The paper describes an AI chatbot for plant disease detection and crop recommendation but provides no public dataset, image collection, code repository, or trained model with an authors' URL. Data sources are described only vaguely ('agricultural datasets, research studies, and publicly available repositories') with no

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