A Novel Approach Chatbot Service for Fertilizer Prediction Using Logistic Regression

Abstract

Abstract: Agriculture plays a major role in the Indian Economy. Over 50 percent population majorly depends on agriculture as their income. Farmers have been cultivating crops for thousands of years on the same land. Here, crop choice is a crucial component of agriculture. Early crop selection is an option available to farmers. However, it is challenging for farmers today to determine the ideal fertilizer due to continual environmental changes. This artificial intelligence chatbot is designed to give the information on crops and fertilizer prediction in both Kannada and English languages. It employs logistic regression, ANN, and natural language processing (NLP) methods. The user enters the inputs like environmental condition, crop type, soil type, and soil nutrients then the chatbot provides an accurate fertilizer name. If a crop is unsuitable for that area this will also be recommended to the farmers. The web application is regularly updated to guarantee that the chatbot has access to the most recent data and can provide users the most relevant answers. This project is very beneficial to farmers since it allows them to choose the proper fertilizer to begin with the product cycle and increase the yield