Artificial Intelligence of Things (AIoT) Solutions for Sustainable Agriculture and Food Security

The United Nations established the Sustainable Development Goals (SDGs) in 2015 to address worldwide social, economic, and environmental challenges. This study examines the significance of the Artificial Intelligence of Things (AIoT) in sustainable agriculture and food security. Innovative and effective agriculture practices are needed more than ever due to population growth and environmental issues. Real-time data and analytics from AIoT enable farmers and stakeholders to make smart choices and optimize resource use. AIoT’s role in food security and sustainable agriculture is introduced in the study. It discusses AIoT in precision agriculture, smart irrigation, animal management, and supply chain efficiency. Case studies and real-world deployments evaluate successful AIoT systems in diverse areas, including lessons learned and best practices. The study also examines AIoT developments, AI and machine learning integration, 5G and edge computing, and agricultural AIoT applications. It highlights technical, data security, and financial issues with AIoT adoption and offers solutions. The results emphasize AIoT role in sustainable agriculture and food security. AIoT and multinational cooperation may make agriculture more resilient, resource-efficient, and transparent. The chapter concludes with a call for further research and implementation, highlighting the need for interdisciplinary cooperation to maximize the potential of AIoT in agriculture.