Agro Connect: Smart Agricultural Trading Platform with Location-Based Filtering

Abstract

Agricultural supply chains in developing economies are significantly affected by inefficiencies arising from the presence of intermediaries, lack of transparency, and limited direct market access for farmers. This paper presents AgroConnect, a smart web-based agricultural trading platform designed to enable direct farmer-to-customer interaction through a location-aware and data-driven system. The platform features: a role-based user management system supporting farmers, customers, and administrators; a dynamic product management module allowing real-time listing, updating, and retrieval of agricultural products; a distance-based location filtering mechanism utilizing latitude and longitude coordinates for efficient discovery of nearby products; and an optimized backend processing pipeline implemented using the Django framework with ORM-based database interaction. Additionally, the system incorporates a lightweight recommendation logic for prioritizing relevant products based on proximity and availability, along with secure authentication and access control mechanisms. The platform is deployed as a full-stack web application with a responsive frontend interface and scalable backend architecture, achieving an average response time of approximately 250 milliseconds, page load time of 1.2 seconds, and improved filtering efficiency of 87% under test conditions. This work addresses critical limitations in existing agricultural trading systems by delivering a deployable, user-centric platform that enhances accessibility, reduces dependency on intermediaries, and improves economic outcomes for farmers while ensuring efficient and transparent product distribution.