Empowering Farmers: A Real-Time Bidding System with Integrated Machine Learning
The Crop Bidding System aligns closely with several Sustainable Development Goals (SDGs), fundamentally transforming agricultural trade to create a more equitable and sustainable food system. By facilitating a competitive marketplace, it addresses “Goal 1: No Poverty”, empowering farmers to achieve better prices for their crops and significantly improving their livelihoods. This system enhances access to quality produce, directly supporting “Goal 2: Zero Hunger and contributing to food security in local communities”. By allowing farmers to sell their products in a transparent and competitive environment, the platform not only boosts their income but also ensures that consumers can access fresh and nutritious food. Moreover, through its innovative use of technology, the Crop Bidding System fosters economic growth and creates job opportunities, aligning with “Goal 8: Decent Work and Economic Growth”. This technological advancement in agriculture encourages local entrepreneurship and can lead to the establishment of more resilient agricultural practices. Additionally, the platform champions sustainable agricultural methods, reflecting “Goal 12: Responsible Consumption and Production”, by promoting the sale of locally sourced and organic produce. This not only reduces the carbon footprint associated with long-distance transportation but also encourages environmentally friendly farming practices. By addressing these critical goals, the Crop Bidding System promotes agricultural efficiency while simultaneously supporting the broader agenda for sustainable development, ultimately contributing to a more just and sustainable food supply chain for future generations. the Crop Bidding System encourages collaboration among farmers, buyers, and agricultural organizations, fostering a sense of community and shared purpose. By integrating educational resources and training modules, the platform equips farmers with knowledge about market trends, best practices, and sustainable techniques, thereby enhancing their capacity to adapt to changing agricultural conditions.
Authors
- Kotte Sai Vamsi
- Jayalakshmi Murugan (ORCID: https://orcid.org/0000-0002-7297-9161)
- K. Anil Reddy
- Kurapati Pavan Chand
- Karim Feroz
Institutions
- Kalasalingam Academy of Research and Education (IN)
Publication Details
- Published
- 2024-12-11
- DOI
- https://doi.org/10.1109/icscna63714.2024.10864335
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00