AGRICULTURE HELPER CHATBOT

Agriculture is an important sector that depends on several factors such as soil conditions, weather, crop selection, irrigation, fertilizers, and pest management. Farmers may face difficulties in obtaining timely information about crop cultivation, diseases, fertilizers, irrigation, and suitable farming practices. The Agriculture Helper Chatbot is an intelligent conversational system designed to provide agriculture-related information to farmers through a simple and user-friendly interface. The proposed chatbot uses Natural Language Processing (NLP) and machine-learning techniques to understand user queries and provide relevant agricultural information. Farmers can ask questions related to crop selection, soil preparation, fertilizers, irrigation, pests, diseases, and general farming practices. The chatbot processes the user's question, identifies the relevant category or intent, and provides an appropriate response from its knowledge base.

Authors

Publication Details

Journal
International Journal of Engineering Research and Science & Technology
Published
2026-10-05
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

AGRICULTURE HELPER CHATBOT

MRS.P. SARITHA,BODANAPU RINITHA,DR. P. VENKATESHWARLU
International Journal of Engineering Research and Science & Technology
Smart Agriculture and AI
article

AGRICULTURE HELPER CHATBOT

MRS.P. SARITHA,BODANAPU RINITHA,DR. P. VENKATESHWARLU
article en

Abstract

Agriculture is an important sector that depends on several factors such as soil conditions, weather, crop selection, irrigation, fertilizers, and pest management. Farmers may face difficulties in obtaining timely information about crop cultivation, diseases, fertilizers, irrigation, and suitable farming practices. The Agriculture Helper Chatbot is an intelligent conversational system designed to provide agriculture-related information to farmers through a simple and user-friendly interface. The proposed chatbot uses Natural Language Processing (NLP) and machine-learning techniques to understand user queries and provide relevant agricultural information. Farmers can ask questions related to crop selection, soil preparation, fertilizers, irrigation, pests, diseases, and general farming practices. The chatbot processes the user's question, identifies the relevant category or intent, and provides an appropriate response from its knowledge base.

International Journal of Engineering Research and Science & Technology
Openalex Percentile: Top 13%
Smart Agriculture and AI
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