USER-FRIENDLY STATIC CHATBOT IN IOT DEVICE FOR INTERACTION WITH FARMERS IN INTEGRATED RICE-FISH FARMING
Keywords:
AI Chatbot, Integrated Rice-Fish Farming, Aquaculture, Integration, Water management, pH maintenance, Temperature fluctuations, Pesticide restrictions, Labor-intensive processes, Innovative strategies, Natural Language Processing, Machine Learning Algorithms, Real-time InformationAbstract
This paper introduces an AI chatbot designed specifically for integrated rice-fish farming, which combines the cultivation of rice crops with fish rearing in the same ecosystem. The chatbot utilizes artificial intelligence techniques, including natural language processing and machine learning algorithms, to provide real-time information and support to farmers engaged in integrated rice-fish farming systems. It offers guidance on various aspects such as crop cultivation techniques, fish species selection, water management, pest and disease control, and market trends. By continuously learning from user interactions and analysing data, the chatbot tailors its responses and recommendations to meet the specific needs of individual farmers. The integration of AI technology in agriculture has the potential to revolutionize traditional farming practices, optimize resource utilization, increase productivity, and enhance food security. The proposed AI chatbot for integrated rice-fish farming serves as a valuable tool for farmers, empowering them to leverage AI capabilities and make informed decisions, ultimately promoting efficient and sustainable farming practices within the context of integrated rice-fish ecosystems.
