Year: 2025
Type: article
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.
Authors: Lijo Varghese, Sindhu Daniel
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4409843876