AI Plant Doctor and Farmer Supportive System
Year: 2025
Type: conference-paper
Abstract: This research paper presents the AI Plant Doctor & Farmer Supportive System, a web-based platform designed to help farmers detect plant diseases, receive crop recommendations, monitor market prices, and interact with experts in regional languages. The platform integrates computer vision (CNN-based plant disease detection), natural language processing (AI chatbot), and predictive modeling (LSTM for price forecasting) to provide a comprehensive tool for improving agricultural productivity. This paper is part of an ongoing project and documents the design, methodology, and expected outcomes. The complete implementation and live system are planned for April 2026.
Author: Bhagwat, Tushar
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: green
OpenAlex ID: W7083478747
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