AgriTech Revolution: Next-Generation Supply Chain in America's Agriculture

Joseph Seun Adesiyan

Western Illinois University, Macomb, Illinois, USA.

Andrew Everton Raffington *

Mercer University, Macon, Georgia, USA.

*Author to whom correspondence should be addressed.


With the advent of the 21st century, a novel era of technological advancement has profoundly impacted several sectors, with the inclusion agriculture. This paper examines the transformative task of evolving technologies in reorchestrating the agricultural supply chain during the revolutionary wave of AgriTech in American agriculture. As part of this research, we will analyze how cutting-edge technologies, such as the Internet of Things (IoT), Artificial Intelligence (AI), robotics, bigdata, and blockchain, are being integrated, and examine how these technologies have an impact on agricultural practices, supply chain efficiency, and sustainability in general. With a comprehensive literature review and case study analysis, the study explores AgriTech in the United States and its trajectory towards a more data-driven, automated, and interconnected agriculture industry. The paper determines how these innovations lead to increased crop yields, improved resource management, and extra transparent and robust supply chains. Furthermore, the research addresses the challenges, including the digital divide, investment barriers, and skill gaps, which could impede the widespread adoption of these technologies. Furthermore, our study reignites the opportunities presented by AgriTech, such as reduced environmental footprint, improved food safety, and the potential to meet the increasing global food demand sustainably. The future endeavor speculates on the evolving landscape of AgriTech, positing a scenario where advanced technologies not only dictate farming practices but also reshape the entire food supply chain, from farm to fork. Hence, the research presents a critical analysis of the next-generation supply chain in American agriculture, driven by AgriTech innovations. The result aims to provide valuable insights for stakeholders such as farmers, agribusinesses, technology providers, policymakers, and consumers, offering a comprehensive understanding of the dynamic interplay between technology and agriculture in the modern era.

Keywords: Agri tech revolution, American agricultural, supply chain

How to Cite

Adesiyan , J. S., & Raffington , A. E. (2024). AgriTech Revolution: Next-Generation Supply Chain in America’s Agriculture. International Journal of Environment and Climate Change, 14(2), 254–272.


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Schimmelpfennig D. Farm Profits and Adoption of Precision Agriculture. USDA Economic Research Service; 2016.

Liakos KG, Busato P, Moshou D, Pearson S, Bochtis D. Machine learning in agriculture: A review. Sensors. 2018; 18(8):2674.

Kamilaris A, Kartakoullis A, Prenafeta-Boldú FX. A review on the practice of big data analysis in agriculture. Computers and Electronics in Agriculture. 2017; 143:23-37.

Munshi S, Verma A, Singh D. Precision agriculture using autonomous robots: A review. Journal of Robotics and Control. 2023;2(1):43-52.

Yuan Y, Yang Y, Zhang J. Autonomous tractors in agriculture: A review. Computers and Electronics in Agriculture. 2022;193:106619.

Shapira O, Kumar N, Aravind S. Precision agriculture using drones: A review of recent research. Journal of the Indian Society of Remote Sensing. 2021;49 (2):381-392

Hassan A, Hameed N, Khan F. UAVs for crop monitoring and pest management: A review. Remote Sensing. 2023;15(12): 2860.

IBM. AI in agriculture: How IBM is helping farmers feed the world; 2022. Available:

AgFunder. The 2023 AgriTech Investment Review; 2023. Avaiklable:

Shastri G, Kumar S, Bhatt GP. Predictive analytics in precision agriculture: A review. Computers and Electronics in Agriculture. 2022;194:106703.

Sharma V, Tripathi R, Dutta MK. Predictive analytics in agriculture for climate-resilient food production: A review. Journal of the Indian Society of Remote Sensing. 2023; 51(1):127-142.

Mckinsey & Company. (2023, October 26). The future of autonomous tractors: A $5 billion opportunity by; 2025. Available:

Desai M, Shah N, Patel P. Big Data analytics in precision agriculture: A review and future directions. Precision Agriculture. 2023;24(3):509-527.

World Economic Forum. AI and the future of food; 2022. Available:

Kshetri N. Blockchain’s roles in meeting key supply chain management objectives. International Journal of Information Management. 2018;39:80-89.

Tsouros DC, Bibi S, Sarigiannidis PG. A review on UAV-based applications for precision agriculture. Information. 2019;10 (11):349.

Chuvieco E, Aguado I, Salas J. et al. Satellite Remote Sensing Contributions to Wildland Fire Science and Management. Curr Forestry Rep. 2020;6:81–96.

Kumar V, Rahman Z. Applications of drone technology in agriculture and rural marketing: Opportunities and challenges. Journal of Rural Studies. 2020;78:456- 466.

Mishra N, Singh A, Singh A. IoT-based sensor data fusion for agriculture applications. Information Fusion. 2020;55: 1-10.

Chen M, Mao S, Liu Y. Big Data: A survey. Mobile Networks and Applications. 2014; 19(2):171-209.

Yiannas F. A new era of food transparency powered by blockchain. Innovations: Technology, Governance, Globalization. 2018;12(1-2):46-56.

Stone K. John Deere's leap into big data helps farmers reap larger rewards. Forbes; 2019.

Lowenberg-DeBoer J, Erickson B. Setting the record straight on precision agriculture adoption. Agronomy Journal. 2019;111 (4):1552-1569.

Rose DC, Sutherland WJ, Parker C, Lobley M, Winter M, Morris C. Decision making by farmers regarding ecosystem services: Factors affecting soil health in agroecosystems. Journal of Applied Ecology. 2016;53(4):1358-1369.

Weersink A, Fraser E, Pannell D, Duncan E, Rotz S. Opportunities and challenges for big data in agricultural and environmental analysis. Annual Review of Resource Economics. 2018;10:19-37.

Qaim M. Benefits of genetically modified crops for the poor: Household income, nutrition, and health. New Biotechnology. 2020;27(5):552-557.

United States Department of Agriculture (USDA). The role of technology in agriculture: A report to Congress; 2023. Available:

US. Department of Agriculture, Economic Research Service. Farm Income and Wealth Statistics, November 30, 2023.

World Resources Institute. Climate-smart agriculture: A guide to understanding and implementing the approach; 2022. Available:

World Economic Forum. Harnessing the power of blockchain for a more sustainable food system; 2019. Available:

Mckinsey & Company. Global Agriculture 4.0: Transforming the food system with technology; 2020. Available: