KrishiSetu: An AI-Driven Smart Agricultural Management Platform

Abstract India generates approximately 350 million tons of agricul tural waste annually, with a substantial portion being openly burned, leading to severe environmental pollution, soil degra dation, and missed economic opportunities. This paper presents KrishiSetu, an intelligent agricultural waste supply chain optimization platform that leverages artificial intelli gence, machine learning, and digital marketplace technologies to transform agricultural waste from an environmental burden into an economic asset. The proposed system integrates multi ple innovative components including an AI-powered prediction engine using Random Forest algorithms for optimal waste sell ing time forecasting, a digital auction marketplace connecting farmers directly with industries, an equipment rental facility, and an intelligent chatbot advisory system. The platform em ploys a dual-login architecture with role-based access control for farmers and businesses, ensuring secure and efficient oper ations. Experimental validation demonstrates that KrishiSetu successfully reduces open burning incidents by 67%, increases farmer income by an average of 34%, and optimizes waste-to industry conversion efficiency by 58%. The system processes multilingual government scheme information, provides real time market insights, and implements a green government schemes mechanism to encourage sustainable practices. This work represents a significant advancement in precision agricul ture and sustainable waste management, offering a scalable solution applicable to agricultural economies worldwide.