Authors: Himanshu Kaspate, Tejas More, Atharv Sanas, Pruthviraj Sarade, Vijay Mohite
Abstract: Indian agriculture increasingly relies on mechanization to improve productivity; however, access to agricultural machinery remains a major challenge for small and marginal farmers due to high purchase costs, maintenance expenses, and unorganized rental practices. In recent years, several agricultural equipment rental and machine finding systems have been proposed to address these challenges through web and mobile-based platforms. This survey paper reviews and analyzes existing agricultural machinery rental systems, focusing on their architecture, functionalities, and technological approaches. The study examines key features such as equipment listing, location-based search, online booking, scheduling, payment mechanisms, and user feedback systems. A comparative analysis of existing research reveals significant limitations, including lack of real-time availability tracking, limited support for rural connectivity constraints, low digital literacy consideration, and absence of intelligent machine discovery mechanisms. Based on the identified research gaps and insights from the literature, this paper highlights the need for a centralized, farmer-friendly, and scalable machine finding platform. The survey provides the foundation for KhetSetGo, a proposed digital machine finding and rental application aimed at improving equipment accessibility, reducing operational costs, enhancing resource utilization, and supporting sustainable digital transformation in Indian agriculture.
