Enabling Smart Farming Through Edge Artificial Intelligence (AI)

Abstract

This chapter explores the integration of edge AI in smart farming using technologies like edge computing and artificial intelligence algorithms. Process of deploying AI algorithms onto the edge devices such as sensors and IoT components to perform real-time data analysis and intelligent decision-making will be discussed in the chapter. The fundamentals of edge AI, its role and applications in smart farming including crop monitoring, livestock management, disease detection intelligent irrigation and decision-making will be focussed. The chapter also discusses the importance of implementing AI algorithms in edge considering hardware, software, network and optimization of AI algorithms. The chapter also discusses how Edge AI can help farmers by bringing intelligence directly to the field, reducing reliance on cloud computing, and improving data privacy and security. The chapter also discusses the challenges and considerations of deploying Edge AI systems in agricultural settings, such as resource constraints, connectivity issues, and algorithm optimisation.