AgroAssist: An AI-Enabled Platform for Smart and Transparent Agricultural Equipment Rentals

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Abstract

The Smart AgroRent System is an intelligent web-based platform developed to transform the traditional agricultural equipment rental process through automation, data-driven decision support, and secure digital transactions.The system provides role-based access for farmers, equipment owners, and administrators to ensure transparency, reliability, and efficient coordination across all rental activities.Farmers can register and log in to discover agricultural equipment using AI-driven recommendations that analyze crop type, soil conditions, seasonal requirements, farm size, historical rental patterns, and budget constraints to suggest the most suitable tools.The platform enables farmers to schedule rentals, track booking status in real time, complete secure online payments, access digital invoices, and receive instant booking updates via integrated WhatsApp notifications.Equipment owners can register, verify their profiles, list and manage equipment, dynamically update availability, analyze rental demand trends, monitor earnings, and receive automated alerts for booking requests and payment confirmations.The administrator supervises system operations by validating users, managing platform fees, resolving disputes, monitoring AI-based recommendation accuracy, and generating analytical reports for operational insights and system optimization.The Smart AgroRent System integrates WhatsApp Cloud API for real-time communication, advanced payment gateways supporting UPI, net banking, wallets, and card transactions, and a MySQL database for secure and efficient data management.By leveraging artificial intelligence, automation, and digital communication, the system minimizes manual coordination, improves equipment utilization, reduces rental delays, and supports sustainable and technologydriven agricultural development through a scalable, secure, and user-centric digital ecosystem.

Fields of Study & Subjects

Smart Agriculture and AI Decision Support System Applications Engineering and Information Technology

Publication details

Journal / source
International Research Journal of Modernization in Engineering Technology and Science
Publication date
17 January 2026