Farmers Agriculture Assistance Chatbot
Praveen Kumar Maduri, Preeti Dhiman, Manas Raj Shukla, Saurabh Anand, Siddharth Pratap Singh · 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) · 2021
India is known for the apprehension of global powerhouse of agriculture in the world and has been mainly an agriculture-based economy, in spite of the fact that a lot of farmers and respective individuals face a lot of problems in agriculture due to inadequate knowledge of agriculture production such as poor farming techniques, inadequate materials for the crop, proper crop planning, maintaining of fertilizer balance. This project represents a prototype of a chatbot structure which helps assist individuals or farmers in crop management and predicts the need of the crop. Prediction such as the fertilizer dosage, nutrients in the crop and assists in providing sufficient knowledge to the individual to work on the basic needs. This structure uses Natural Language Processing and takes feed from the predetermined data to give responses on based queries. For the Structure to be accurate the chatbot analyzes factors such as past feed and the sources of the data from "The Indian Council of Agricultural Research"