Authors

Deepika S. Wankhed

Department of Information Technology, Shri S’ad Vidya Mandal Institute of Technology, Bharuch 392-001, Gujarat, India

Abstract

The Family Farmer project is an intelligent, web-based agricultural framework that aims to link farmers directly with consumers, effectively removing intermediaries. The agricultural system in India suffers from inefficiencies, where farmers receive minimal profits while consumers incur high costs for non-organic produce. This research advocates for an integrated digital platform that promotes transparent trading, fair pricing, and efficient logistics. The system allows farmers to register and display organic products, consumers to search and buy directly, and transporters and distributors to oversee logistics. Technologies including PHP, MySQL, HTML, CSS, JavaScript, and GPS integration are employed to facilitate secure and scalable operations. The system enhances sustainability, encourages digital agriculture, and connects rural producers with urban consumers [1][2][3]. Experimental analysis and earlier studies demonstrate that digital agricultural systems can boost farmer income and operational transparency by up to 30% [4][5].

Keywords

Smart Agriculture Farmers Consumers Supply Chain Organic Produce Web-Based Platform Digital Farming E-Agriculture

Citation of this Article

Deepika S. Wankhed. (2025). Intelligent Agricultural Structure for Direct Engagement between Farmers and Consumers. Current Journal of Engineering and Science Research. 2(10), 1-4. Article DOI: https://doi.org/10.47001/CJESR/2025.210001

Licence Copyright (c) 2026 Current Journal of Engineering and Science Research. This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International Licence.

References

  1. Government of India, National Agriculture Market (eNAM) Initiative, 2023.
  2. International Journal of Agricultural Systems, 'Farm2Table: Direct Trade in Agriculture,' Vol. 4, No. 2, 2022.
  3. FAO, 'Digital Agriculture Report,' Food and Agriculture Organization, 2021.
  4. IEEE Xplore, 'Smart Agriculture using IoT and Cloud Computing,' 2023.
  5. Ministry of Agriculture & Farmers Welfare, Government of India, 2023.
  6. P. Jain and R. Sharma, 'AI-Driven Smart Farming Systems,' Int. J. of Computer Applications, Vol. 182, No. 21, 2021.
  7. M. Gupta et al., 'Blockchain and IoT for Agricultural Traceability,' Springer Nature, 2022.
  8. S. Dutta and A. Paul, 'Blockchain Applications in Agri Supply Chain,' IEEE Access, Vol. 10, 2022.
  9. R. Kaur and M. Singh, 'Digital Agriculture in India: Challenges and Opportunities,' Elsevier, 2023.
  10. T. Kumar, 'Role of E-Market Platforms in Rural Development,' IJITM, Vol. 15, No. 3, 2021.
  11. OECD, 'Future of Digital Agriculture and Supply Chain Efficiency,' 2022.
  12. N. Verma et al., 'Workflow Design for E-Market Systems,' IJCSIT, 2023.
  13. A.Patel, 'Impact of E-Marketplaces on Farmer Income,' Int. J. of AgriTech, 2022.
  14. P. Roy and D. Das, 'Barriers to ICT Adoption in Rural India,' Elsevier, 2021.
  15. J. Brown, 'AI-Driven Logistics in Agriculture,' Springer, 2023.
  16. IEEE Spectrum, 'Route Optimization for Smart Delivery Systems,' 2022.
  17. C. Wang, 'Digital Platforms and Supply Chain Transparency,' IEEE Transactions on Systems, 2021.
  18. M. Das and S. Ghosh, 'Smart Farming for Developing Nations,' IJEECS, 2022.
  19. ResearchGate, 'AI and IoT Applications in E-Agriculture,' 2023.
  20. World Bank Report, 'Digitization for Inclusive Rural Growth,' 2022.