India, renowned as a global powerhouse in agriculture, has predominantly an agriculture-based economy. Despite this, many farmers and related individuals encounter numerous challenges in agriculture due to insufficient knowledge of agricultural production. These challenges include poor farming techniques, inadequate materials for crops, improper crop planning, and maintaining fertilizer balance. This project presents a prototype of a chatbot structure designed to assist individuals and farmers in crop management and predicting crop needs. Predictions encompass aspects such as fertilizer dosage, nutrient content in crops, and providing sufficient knowledge for addressing basic agricultural requirements. The structure leverages Natural Language Processing (NLP) and utilizes predetermined data to respond to queries. To ensure accuracy, the chatbot analyzes factors such as historical data and sources from "The Indian Council of Agricultural Research."

Chatbot, Crop Management, Agriculture, Natural Language Processing, Fertilizer Dosage, Agricultural Knowledge.