International Journal of Technology and Applied Science

E-ISSN: 2230-9004     Impact Factor: 9.914

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 17 Issue 5 (May 2026) Submit your research before the last 3 days of this month to publish your research paper in the current issue.

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

Author(s) Mrs. P. Pavani, A. Vaishnavi, K. Priya Joshna, G.Lourdhu Rishitha, T.Srilatha
Country India
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].
Keywords Plant Disease Detection, Crop Recommendation System, Artificial Intelligence (AI), Machine Learning (ML), Convolutional Neural Networks (CNN), Computer Vision, Natural Language Processing (NLP), Agricultural Advisory System.
Field Engineering
Published In Volume 17, Issue 4, April 2026
Published On 2026-04-12
Cite This Integrated Agricultural Advisor: AI Chatbot for Crop Disease Detection and Recommendations - Mrs. P. Pavani, A. Vaishnavi, K. Priya Joshna, G.Lourdhu Rishitha, T.Srilatha - IJTAS Volume 17, Issue 4, April 2026. DOI 10.71097/IJTAS.v17.i4.1253
DOI https://doi.org/10.71097/IJTAS.v17.i4.1253
Short DOI https://doi.org/hbxc4s

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