AgroSmart: Empowering Farmers with a Seamless E-Commerce Platform
Agriculture forms the backbone of economies around the world, yet farmers often face challenges such as limited access to markets, dependence on intermediaries, and lack of actionable insights, which hinder their productivity and profitability. This paper presents AgroSmart, a Python-based e-Commerce platform designed to empower farmers by integrating machine learning with a user-friendly web interface. Built using Flask and MySQL, AgroSmart offers a seamless solution for farmers to connect directly with buyers, eliminating intermediaries, and fostering fair trade practices. At the heart of AgroSmart lies a machine learning model “Gradient Boosting algorithm” provides personalized crop recommendations based on environmental conditions, leveraging advanced algorithms to optimize yields. The platform also incorporates real-time market analytics, government scheme recommendations, and secure OTP-based authentication to enhance usability and accessibility. By bridging the digital divide, AgroSmart promotes sustainable agricultural practices and increases farmer's socio-economic well-being.
Authors
- Vishnu Vijayan (ORCID: https://orcid.org/0000-0003-2793-6127)
- M C Manoj
- K M Chethan
- Bharath Gowda S
- Ananya GR
Institutions
- KLE Academy of Higher Education and Research (IN)
- HKBK College of Engineering
Publication Details
- Published
- 2025-03-21
- DOI
- https://doi.org/10.1109/icsses64899.2025.11009426
- Primary Topic
- Digital Platforms and Economics
- Type
- article
- Field-Weighted Citation Impact
- 0.00