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Smart Agriculture Assistant with Chatbot and Disease Detection

Sabitha K., Abisheak S, Deepak S, Dharsan N, Hariprasath SK

Abstract


Agriculture is an important sector that feeds the economy and creates food security; however, farmers face challenges with access to timely information, proper crop management, and insufficient tools for early disease detection. This project describes a Smart Agriculture Assistant system consisting of a chatbot, database, and image analysis system that allows a farmer to engage with each system as a single point of contact. An ‘AI’ Chatbot that utilizes a text generation API provides farmers with immediate feedback to questions on growing practices, fertilizers, pesticides, and irrigation. A structured crop management database supported by Flask and MySQL, captures detailed information about the crop, including fertilizer, pesticides, pest problems, and growth stage of the crop, and has an admin panel for editing purposes. An image analysis system powered by convolutional neural network (CNN) models primary functions to identify plant disease using the leaf image of the crop. All three systems work together to improve predicaments, limit the amount of loss, and establish sustainable agriculture.


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References


Manogna, R. L., Dharmaji, V., & Sarang, S. (2025). Enhancing agricultural commodity price forecasting with deep learning. Scientific Reports, 15, 20903. https://doi.org/10.1038/s41598-025-05103-z

Theofilou, P., & Arampatzis, A. (2025). AI-based agricultural chatbots for sustainable farming: A systematic review. Computers and Electronics in Agriculture, 213, 108–116. https://doi.org/10.1016/j.compag.2025.108116

Gururaj, K., & Patil, R. (2023). Smart farming system using machine learning for crop recommendation and yield prediction. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 9(5), 145–151. https://ijsrd.com/IJSRCSEIT/paper-2023-09-05-145

Sable, S., & Jadhav, R. (2024). Integration of AI chatbots and CNN for crop disease detection and farmer assistance. Journal of Emerging Technologies and Innovative Research, 11(1), 312–318. https://www.jetir.org/view?paper=JETIR2401312

Aijaz, A., & Singh, M. (2025). AI-powered smart agriculture systems for sustainable crop management. IEEE Access, 13, 45210–45219. https://doi.org/10.1109/ACCESS.2025.4521019

Pal, S., & Dutta, S. (2024). Lightweight CNN architecture for real-time plant disease classification. Applied Artificial Intelligence, 38(2), 155–167. https://doi.org/10.1080/08839514.2024.1054237

Reddy, B., & Sharma, K. (2025). Chatbot-based advisory system for precision farming using natural language processing. International Journal of Engineering Research and Technology, 14(4), 765–772. https://www.ijert.org/chatbot-based-advisory-system-precision-farming

Patel, V., & Naik, D. (2025). Enhancing farmer decision support systems through AI-based chatbot and image processing. International Research Journal of Modernization in Engineering Technology and Science, 7(2), 59–65. https://www.irjmets.com/paper/enhancing-farmer-decision-support-systems

Lakshmi Reddy, L., Mahitha, K., & Swathi, G. (2024). Agriculture helper chatbot AI. International Journal of Engineering Research and Science & Technology, 20(2), 101–108. https://ijerst.org/article/view/310

Anusha, K., Lakshmi, K. N., & Venkata, V. P. (2025). Smart chatbot for farmers’ agricultural guidance and assistance. International Journal of Communication Networks and Information Security, 17(3), 95–104. https://www.ijcnis.org/article/view/8100


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