Organic Fertilizer Recommendation System and Disease Prediction with Chatbot

Authors

  • S. Shyma Assistant Professor, Department of Artificial Intelligence and Machine Learning, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India
  • K. Kamali Student, Department of Artificial Intelligence and Machine Learning, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India
  • M. Mabitha Student, Department of Artificial Intelligence and Machine Learning, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India
  • M. Nivya Student, Department of Artificial Intelligence and Machine Learning, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India

Abstract

This paper, titled "organic fertilizer recommendation system with disease prediction," addresses the challenges farmers face in identifying plant diseases and selecting suitable fertilizers. Using machine learning and natural language processing, the system features a Tamil chatbot for easy communication in rural areas. The chatbot predicts plant diseases and recommends organic fertilizers like neem oil and cow dung. The fully text-based system ensures accessibility for farmers with basic mobile phones. It promotes eco-friendly farming practices, reducing reliance on harmful chemicals. The platform also supports soil health and environmental conservation. Ultimately, it empowers farmers and contributes to a sustainable agricultural future.

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Published

26-01-2025

Issue

Section

Articles

How to Cite

[1]
S. Shyma, K. Kamali, M. Mabitha, and M. Nivya, “Organic Fertilizer Recommendation System and Disease Prediction with Chatbot”, IJRESM, vol. 8, no. 1, pp. 109–110, Jan. 2025, Accessed: Feb. 22, 2025. [Online]. Available: https://journal.ijresm.com/index.php/ijresm/article/view/3202