Smart Farming

Smart Farming

Project Guide

Prof. Priyadarshini Badgujar
Department of Computer Science and Design
New Horizon Institute of Technology and Management, University of Mumbai
Thane, India

Brahmanand Suryawanshi
Department of Computer Science and Design
New Horizon Institute of Technology and Management, University of Mumbai
Thane, India
brahmanandasuryawanshi217@nhitm.ac.in

Aditya Vaishnav
Department of Computer Science and Design
New Horizon Institute of Technology and Management, University of Mumbai
Thane, India
adityavaishnav217@nhitm.ac.in

Rukhsana Mullani
Department of Computer Science and Design
New Horizon Institute of Technology and Management, University of Mumbai
Thane, India
rukhsanamullani217@nhitm.ac.in

Sarfaraz Rumane
Department of Computer Science and Design
New Horizon Institute of Technology and Management, University of Mumbai
Thane, India
sarfarazrumane217@nhitm.ac.in

Abstract— Agriculture continues to be a vital pillar of India's economy, providing livelihoods to millions. However, farmers frequently face financial challenges due to their dependence on intermediaries within the supply chain, which often leads to inequitable profit distribution.

To address this issue, this paper introduces a Smart Farming platform that establishes a direct connection between farmers and consumers, ensuring fair pricing and enhanced accessibility to agricultural products. The platform is developed using the MERN stack, which comprises MongoDB, Express.js, React.js, and Node.js, and incorporates advanced features such as real-time communication through Socket.io, secure user authentication via JSON Web Tokens (JWT), and a dynamic inventory management system. By bypassing intermediaries, the platform empowers farmers to achieve higher profitability while enabling consumers to access fresh produce at competitive prices.

The proposed system is designed with a user-centric approach, offering features such as instant order tracking, secure payment gateways, and an intuitive user interface to enhance the overall experience. Performance testing demonstrates that the platform is capable of handling real-time transactions efficiently while maintaining scalability for future growth. Potential future enhancements include the integration of artificial intelligence (AI) for price prediction, block chain technology for secure and transparent transactions, and the development of a mobile application to expand accessibility. This initiative seeks to transform agricultural commerce by promoting financial independence for farmers and fostering a more sustainable and equitable food supply chain. The platform represents a significant step toward bridging the gap between farmers and consumers, ultimately contributing to the socio-economic development of rural communities.

Keywords—smart farming, web application, MERN stack, secure authentication (JWT), real-time communication (Socket.io) and dynamic inventory management