This collection features four peer-reviewed reviews on Artificial Intelligence (AI) applications in agriculture.The first chapter reviews developments in the use of AI techniques to improve the functionality of decision support systems in agriculture. It reviews the use of techniques such as data mining, artificial neural networks, Bayesian networks, support vector machines and association rule mining.The second chapter examines how robotic and AI can be us...

Primary focus on developing fully autonomous robotic systems in agricultureComprehensive review of advances in the key technologies underpinning agricultural roboticsParticularly strong coverage of the applications of agricultural robotics in different aspects of crop management from planting to harvesting