Authors: Sure Mamatha, Dharavath Ramya Sri, Banothu Naveen
Abstract: AgroCycle is a web-based agricultural marketplace designed to connect farmers and buyers through a single, user-friendly platform for agricultural products and reusable agricultural waste. Farmers often face limitations in direct market access, while crop residues and agricultural by-products may remain underutilized even though they can have value for composting, biomass, animal feed, recycling and other reuse applications. The proposed system addresses these issues by integrating conventional agricultural-product trading and agricultural-waste exchange within one centralized digital platform. The system provides separate modules for Farmer, Buyer and Admin users. Farmers can register, manage their profiles, create and maintain product and waste listings, receive orders and update order status. Buyers can browse the marketplace, search and filter listings, view product or waste details, maintain a wishlist and cart, place Cash on Delivery orders, track order progress and submit feedback after delivery. Administrators can manage users, moderate listings, review orders, handle contact requests and feedback, and monitor dashboard analytics. The application is developed using HTML5, CSS3, Bootstrap 5 and JavaScript for the frontend, PHP 8+ with PDO for backend processing, and MySQL for data storage. The main objective of AgroCycle is to provide an organized digital marketplace that improves farmer-buyer connectivity while also giving reusable agricultural waste greater visibility for productive use. Security controls such as password hashing, session-based authentication, role authorization, CSRF protection, PDO prepared statements, input validation, output escaping, ownership checks and secure image-upload validation are included in the implementation. Functional and responsive testing demonstrated the complete Farmer-Buyer-Admin workflow. The platform can be extended with online payments, logistics integration, GPS-assisted tracking, cloud deployment, multilingual support, mobile applications and AI-assisted agricultural analytics.
