Krishi Ai: Intelligent Chatbot For Agricultural Advisory And Market Access

Abstract

Agriculture Plays A Vital Role In India’s Economy, Yet Farmers Face Multiple Challenges Such As Lack Of Real-time Information, Poor Access To Markets, And Limited Technological Support. This Paper Presents Krishi AI, An Intelligent AI-based Chatbot Designed To Provide Agricultural Advisory Services, Real-time Market Insights, And Multilingual Interaction. The System Integrates Artificial Intelligence, Natural Language Processing, And Location-based Services To Enhance Decision-making For Farmers. It Aims To Bridge The Gap Between Traditional Farming Practices And Modern Digital Solutions By Offering A User-friendly Platform That Supports Both Online And Offline Functionalities. The Proposed System Acts As An Intelligent Virtual Assistant Capable Of Responding To Farmers’ Queries Related To Crop Selection, Soil Health, Weather Forecasts, Pest Control, Irrigation Techniques, And Market Prices (APMC Rates). The Chatbot Is Designed With A User-friendly Interface Supporting Regional Languages To Ensure Accessibility For Rural Users With Varying Literacy Levels. It Also Integrates Location-based Services To Deliver Personalized Recommendations Based On State, District, And Local Agricultural Conditions. The System Architecture Combines Machine Learning-based Intent Classification With A Knowledge Base Of Agricultural Data Sourced From Government Portals And Agricultural Research Institutions. Additionally, The Chatbot Can Be Deployed On Mobile And Web Platforms, Ensuring Wide Accessibility. The Expected Outcome Of This System Is To Enhance Decision-making Efficiency For Farmers, Reduce Dependency On Intermediaries, And Promote Smart Agriculture Practices. By Bridging The Gap Between Modern Agricultural Knowledge And Rural Farmers, The AI-based Chatbot Aims To Contribute Toward Sustainable Farming And Improved Crop Productivity. Keywords — Artificial Intelligence, Chatbot, Smart Agriculture, Natural Language Processing, Farmer Assistance, Machine Learning, APMC, Precision Farming.

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