E-FARMING: A SMART AGRICULTURE SUPPORT AND MARKET INTEGRATION PLATFORM

Abstract

Methodology: Schematic illustration of an integrated farming system and management quality control Farmers frequently deal with a number of problems that limit their ability to be lucrative and productive.   Unpredictable weather patterns like droughts, floods, and unseasonable rainfall frequently result in significant agricultural losses.   Farmers are especially vulnerable to economic volatility since market price fluctuations make it difficult for them to predict the returns on their produce.   Lack of timely and accurate information about crop prices, weather, and potential consumers exacerbates these difficulties by pushing many farmers to use outdated methods that are typically less profitable and inefficient.  The Nt-framework-model In order to tackle these urgent concerns, this study presents

E-Farming is a state-of-the-art platform designed specifically to empower farmers with modern technology for market integration and smart agriculture support.   E-Farming incorporates real-time weather forecasts, dynamic crop pricing information, and a comprehensive buyer-seller networking system into an easy-to-use user interface.   By including these components, the platform helps farmers make informed decisions regarding crop selection, harvesting dates, and sales strategies, reducing the risks related to weather fluctuations and market uncertainty. From a technical standpoint, E-Farming uses a mix of contemporary web technologies, such as PHP, Node.js, and React.js, to provide accessible and responsive user interfaces for reliable server-side functionality, as well as MySQL/MongoDB for effective data management and storage.  RESTful APIs enhance communication between the client and server, guaranteeing smooth data flow.  The platform's design places a high priority on security, with HTTPS protocols and JWT (JSON Web Token) authentication offering safe access and data protection.  Additionally, high availability, scalability, and dependability are guaranteed via cloud-based deployment on platforms like Firebase or AWS, enabling the platform to support a big user base without experiencing performance deterioration. Crop management techniques are optimized by preliminary simulations. These improvements show how the platform can revolutionize conventional farming practices, bridging the technological and agricultural divide and promoting a more lucrative and sustainable agricultural ecosystem.