KRISHI-SAKHI: AN AI-POWERED PERSONAL FARMING ASSISTANT FOR KERALA FARMERS
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Abstract
This paper describes an intelligent agricultural chatbot to help farmers make data-driven decisions. The chatbot is built off two machine-learning models: A crop recommendation model with an accuracy level of 93% and a crop price prediction model with a 95% level of accuracy. The chatbot integrates both models into a multilingual chatbot with support for the Malayalam language primarily targeted at farmers in Kerala. The chatbot shows strong linguistic capabilities, with a BLEU score of over 95, which provides for accurate responses in context. The user interface is simple and easy to use, allowing users to submit inquiries and get responses quickly and easily. The proposed solution provides seamless and easy-to-use access to predictive analytics using natural language input to assist users in making informed decisions about their farming operations. This demonstrates the potential of AI-driven conversational technology to improve agricultural productivity by providing increased access to agriculture.
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