A Review Paper on Mobile Web Application for Farmer to Retailers by using Matching Algorithm

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Authors: Trupti P. Suryawanshi , Prof. Prashant Shimpi

DOI : 10.46335/IJIES.2025.10.8.5

Abstract – The agricultural industry faces considerable obstacles in efficiently linking farmers to retailers, ensuring prompt delivery of fresh produce to market. This mobile web application seeks to address these challenges by employing advanced matching techniques, specifically Multi-Criteria Decision Analysis (MCDA) and Bipartite Graph Matching Algorithm, to effectively connect farmers with retailers. The platform enables farmers to showcase their available produce, while retailers can indicate their specific needs regarding quantity, quality, and produce type. The matching algorithm evaluates both datasets and recommends optimal connections, taking into account factors such as proximity, price, demand, and availability. By streamlining the matching process, the application reduces manual effort, minimizes waste, and enhances overall supply chain efficiency. This innovative solution benefits both farmers, who gain access to a broader customer base, and retailers, who secure a dependable and steady supply of fresh produce. The mobile web application, designed for user-friendliness and accessibility, empowers farmers and retailers to make well-informed decisions, boost profitability, and contribute to a more sustainable agricultural ecosystem. The application facilitates smooth and transparent transactions between farmers and retailers. It not only improves operational efficiency but also promotes sustainability by ensuring timely delivery of fresh produce to the appropriate retailer, thereby increasing profitability for both parties involved. This mobile web application serves as a bridge between farmers and retailers, optimizing the supply chain process and addressing significant challenges in the agricultural sector.

Received on: 08 May,2025      Revised on: 15 June,2025      Published on: 17 June,2025