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A DATA-DRIVEN TOOL-SHARING PLATFORM FOR OPTIMIZING AGRICULTURAL EQUIPMENT UTILIZATION IN MAHARASHTRA, INDIA.
Anvesha Vyas Prashant Thorve Yash Gunjal Ubaid Kundlik
Prof. Dhiraj Jadhav
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Abstract
Usually, the farmers of Maharashtra are impacted when essential machines are not available at the right time (e.g., tractor, sprayers, sickles), while other farmers have the very same equipment lying idle. To solve this problem, a web-based tool-sharing platform linking lenders and borrowers was envisaged, leading to cheap and optimized rentals. This paper leads into a dataset-oriented approach that validates the possibility of such a system by using rental cost data from 5 talukas coming from all 36 districts of Maharashtra for 5-6 key tools (viz., sickles, tractor trolleys, sprayers, etc.). This dataset reflects price variation with respect to regions, demand and working cycles of each tool with respect to each region, which can be used in determining dynamic pricing as well as forecast availability. The preliminary results indicated rental costs going down by 30-40% compared to the traditional ad hoc way of dealing with it, and a 25% increase in tool utilization rates. Thus, the study also serves to empirically indicate some potentialities of collaborative consumption arrangements in agrarian economies. Future initiatives will dwell upon IoT-based tool tracking and AI-enhanced demand forecasting for scaling up.
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Vyas, Anvesha, et al.. "A Data-Driven Tool-Sharing Platform for Optimizing Agricultural Equipment Utilization in Maharashtra, India.." International Journal of Creative and Open Research in Engineering and Management, vol. , no. , , pp. . doi:https://doi.org/10.55041/ijcope.v2i2.170.
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- •Published on: Feb 20 2026
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