Paper Contents
Abstract
The integration of artificial intelligence (AI) and cybersecurity is emerging as a critical factor in enhancing the resilience of agro-commerce systems worldwide. As the global agricultural sector increasingly embraces digital technologies for improving efficiency, sustainability, and food security, it faces a simultaneous rise in cyber threats that jeopardize the integrity of supply chains and the security of sensitive data. This research examines the synergy between AI and cybersecurity in agro-commerce, focusing on how these technologies can be harmonized to mitigate risks and foster resilience. Through a comprehensive review of recent advancements in precision farming, predictive analytics, and autonomous agricultural systems, the study explores how AI can optimize agricultural production and supply chain management. Concurrently, it addresses the growing challenges of securing digital infrastructures against emerging cybersecurity threats, such as ransomware, data breaches, and supply chain attacks. Drawing on a combination of qualitative case studies and quantitative analysis, this paper identifies best practices, technological innovations, and policy implications that can strengthen agro-commerce systems. The findings reveal that while AI has substantial potential to enhance operational efficiency and resilience, its full potential can only be realized when integrated with robust cybersecurity frameworks. The study concludes by proposing a roadmap for policymakers and industry stakeholders to foster a more secure, resilient, and sustainable agro-commerce ecosystem. Future research should further explore the intersection of these technologies and their implications for global food systems in the context of an increasingly digitized world.
Copyright
Copyright © 2025 KEHINDE ONAYEMI ADESOGA, Adiamo Afeez Adeyemi, RAHEEM LATEEF IDOWU. This is an open access article distributed under the Creative Commons Attribution License.
