Krushi – The Farmer Chatbot
Mihir Momaya, Anjnya Khanna, Jessica Sadavarte, Manoj Sankhe
Abstract
As per the reports of November 2020, around 58% of India's population earns a primary source of living from agriculture. But, close to 10,000 farmers every year succumb to the harsh conditions in the agricultural sector. These conditions arise when the product of crops is not as desired, spoilt crops, which leads to large loans on the farmers. In this paper, we present an Artificial Intelligence (Al) chatbot that assists the farmers by providing solutions to agricultural queries. Some of the questions are concerning crop sowing, crop diseases, seasons related issues. Thus, benefit the farmers in making the right decisions regarding their crops, thereby increasing their yield. Krushi - The Farmer Chatbot is an end-to-end trainable learning model to create a conversational system with minimum error and answer questions about current conditions. The chatbot is build using Artificial Intelligence (AI) and Machine Learning (ML) techniques. The dataset for the chatbot is used from Kisan Call Centre (KCC). The proposed system, answers queries related to weather, plant protection, animal husbandry, market price, fertilizer uses, government schemes, soil testing with an overall accuracy of 96.1% using RASA X.