AGRIBOT: A Smart AI Companion for Farmers

Agriculture remains the backbone of many developing economies, yet farmers often face challenges in accessing timely, accurate, and personalized information for effective decision-making.AgriBot is a novel AI-powered chatbot designed to provide realtime agricultural support using machine learning (ML), natural language processing (NLP), and IoT integration.This intelligent system enables farmers to interact through voice or text in multiple languages, offering guidance on crop selection, pest control, soil health, and weather forecasting.The chatbot continuously improves through learning from user interactions, providing precise and region-specific recommendations.With the ability to analyze plant disease images using CNN-based models and suggest appropriate actions, AgriBot enhances farm productivity and sustainability.The system's cloud-based, scalable design ensures accessibility even in low-connectivity rural areas.This paper presents the architecture, methodology, and implementation of AgriBot and discusses its potential to transform traditional agriculture into a more data-driven and efficient domain.

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Publication Details

Journal
International Journal of Science and Research (IJSR)
Published
2025-04-26
DOI
https://doi.org/10.21275/sr25422192522
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

AGRIBOT: A Smart AI Companion for Farmers

Lijo Varghese, Sindhu Daniel
International Journal of Science and Research (IJSR)
Smart Agriculture and AI
article

AGRIBOT: A Smart AI Companion for Farmers

Lijo Varghese, Sindhu Daniel
article en

Abstract

Agriculture remains the backbone of many developing economies, yet farmers often face challenges in accessing timely, accurate, and personalized information for effective decision-making.AgriBot is a novel AI-powered chatbot designed to provide realtime agricultural support using machine learning (ML), natural language processing (NLP), and IoT integration.This intelligent system enables farmers to interact through voice or text in multiple languages, offering guidance on crop selection, pest control, soil health, and weather forecasting.The chatbot continuously improves through learning from user interactions, providing precise and region-specific recommendations.With the ability to analyze plant disease images using CNN-based models and suggest appropriate actions, AgriBot enhances farm productivity and sustainability.The system's cloud-based, scalable design ensures accessibility even in low-connectivity rural areas.This paper presents the architecture, methodology, and implementation of AgriBot and discusses its potential to transform traditional agriculture into a more data-driven and efficient domain.

International Journal of Science and Research (IJSR)Vol. 14(4)
APJ Abdul Kalam Technological University (IN)
Zero hunger
Openalex Percentile: Top 94%
Smart Agriculture and AI
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