Year: 2025
Type: article
Abstract: Agriculture is an important sector and small-scale farmers typically lack timely and accurate information to increase their productivity. This project presents a Deep Learning Based Agricultural Chatbot with Multi Language Support to assist the small farmers in real time agriculture practice guidance, pest control, weather updates, soil dedication. Deep learning techniques including Natural Language Processing (NLP) models are used by the chatbot to understand and answer to the farmer queries accurately. This chatbot is multilingual, and the farmer can converse with it in any language, and it mainly relies on pre-trained deep learning models and a huge agricultural knowledge base to give out insights [1][2]. To make the system a reliable virtual assistant for the farmers, extensive datasets are trained to increase response accuracy [3]. This chatbot helps to bridge the knowledge gap in agriculture towards small farmers to provide them with data driven insights that will help them to maximize their yield and manage their risks effectively [4]
DOI: 10.55041/ijsrem44877
Author: YAMINI M
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: bronze
OpenAlex ID: W4409539835