Data Chain Management in Agri-Economics and Agri-Business: A Comprehensive Framework for Digital Agriculture

Digital Agriculture and Supply Chain Management

1. Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2020). “Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications.” International Journal of Production Economics, 219, 179-194.
2. Zhai, Z., Martínez, J. F., Beltran, V., & Martínez, N. L. (2022). “Digital innovations for sustainable and resilient agricultural systems.” European Review of Agricultural Economics, 50(4), 1277-1301.
3. Rose, D. C., Wheeler, R., Winter, M., Lobley, M., & Chivers, C. A. (2021). “Future agricultural systems and the role of digitalization for achieving sustainability goals: A review.” Agronomy for Sustainable Development, 41, 1-23.

Blockchain and Traceability Systems

1. Casado-Vara, R., Chamoso, P., De la Prieta, F., Prieto, J., & Corchado, J. M. (2020). “Blockchain and agricultural supply chains traceability: research trends and future challenges.” Procedia Computer Science, 164, 760-766.
2. Zhang, X., Sun, P., Xu, J., Wang, X., Yu, J., Zhao, Z., & Dong, Y. (2022). “Analysis of Agricultural Products Supply Chain Traceability System Based on Internet of Things and Blockchain.” Mathematical Problems in Engineering, 2022, Article ID 3162871.
3. Barge, P., Gay, P., Merlino, V., & Tortia, C. (2024). “Exploring the role of blockchain technology in modern high-value food supply chains: global trends and future research directions.” Agricultural and Food Economics, 12(1), 1-24.

Digital Transformation and Value Chains

1. Demestichas, K., Peppes, N., Alexakis, T., & Adamopoulou, E. (2020). “Unleashing the Potential of Digitalization in the Agri-Food Chain for Integrated Food Systems.” Annual Review of Food Science and Technology, 11, 287-310.
2. Yu, L., Wang, Q., & Zhang, H. (2025). “Digital Transformation in Agricultural Supply Chains Enhances Green Productivity: Evidence From Provincial Data in China.” Earth’s Future, 13(1), e2025EF006089.
3. Klerkx, L., Jakku, E., & Labarthe, P. (2019). “Digitalization and the third food regime.” Agriculture and Human Values, 36(4), 761-777.

Technology Adoption and Economics

1. Mhlanga, S., Garidzirai, R., & Sikwila, M. N. (2021). “Factors affecting digital technology adoption by small-scale farmers in agriculture value chains (AVCs) in South Africa.” Information Technology for Development, 28(3), 558-584.
2. Bronson, K., & Knezevic, I. (2016). “Big Data in food and agriculture.” Big Data & Society, 3(1), 2053951716648174.

Technical and Policy Reports

Government and International Organizations

1. OECD (2019). “Digital Opportunities for Better Agricultural Policies.” OECD Food, Agriculture and Fisheries Papers, No. 134, OECD Publishing, Paris.
2. FAO (2021). “Digital Agriculture: State of Play and Way Forward.” Food and Agriculture Organization of the United Nations, Rome.
3. World Bank (2021). “Future of Food: Harnessing Digital Technologies to Improve Food System Outcomes.” World Bank Group, Washington, DC.
4. EU-LAC Foundation (2023). “The Digitalisation of Agriculture.” EU-LAC Foundation Policy Paper Series, Hamburg.

Industry and Research Institute Reports

1. McKinsey & Company (2020). “Agriculture’s connected future: How technology can yield new growth.” McKinsey Global Institute.
2. Deloitte (2021). “Digital Agriculture: Feeding the Future Through Technology and Innovation.” Deloitte Insights.
3. PwC (2020). “The Future of Agriculture: How Digital Technologies are Transforming Food Production.” PwC Global Technology Centre.

Specialized Research Areas

IoT and Sensor Technologies

1. Tzounis, A., Katsoulas, N., Bartzanas, T., & Kittas, C. (2017). “Internet of Things in agriculture, recent advances and future challenges.” Biosystems Engineering, 164, 31-48.
2. Farooq, M. S., Riaz, S., Abid, A., Abid, K., & Naeem, M. A. (2019). “A Survey on the Role of IoT in Agriculture for the Implementation of Smart Farming.” IEEE Access, 7, 156237-156271.

AI and Machine Learning Applications

1. Liakos, K. G., Busato, P., Moshou, D., Pearson, S., & Bochtis, D. (2018). “Machine learning in agriculture: A review.” Sensors, 18(8), 2674.
2. Kamilaris, A., & Prenafeta-Boldú, F. X. (2018). “Deep learning in agriculture: A survey.” Computers and Electronics in Agriculture, 147, 70-90.

Sustainability and Environmental Impact

1. Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M. J. (2017). “Big Data in Smart Farming–a review.” Agricultural Systems, 153, 69-80.
2. van der Burg, S., Bogaardt, M. J., & Wolfert, S. (2019). “Ethics of smart farming: Current questions and directions for responsible innovation towards the future.” NJAS-Wageningen Journal of Life Sciences, 90, 100289.

Recent Specialized Studies (2024-2025)

1. Singh, R., Kumar, A., & Patel, M. (2024). “Digitalization of agriculture for sustainable crop production: a use-case review.” Frontiers in Environmental Science, 12, 1375193.
2. Liu, S., Chen, H., & Wang, J. (2024). “A survey on evaluation of blockchain-based agricultural traceability.” Computers and Electronics in Agriculture, 219, 108796.