This collection features six peer-reviewed reviews on advances and in detecting and forecasting crop pests and diseases.The first chapter introduces the concept of machine learning to identify and diagnose crop diseases, focussing on the deep learning concept.The second chapter discusses recent advances in crop disease forecasting models, focussing on the application of precision agriculture technologies and Earth observation satellites to identify areas at...

This collection features five peer-reviewed literature reviews on decision support systems (DSS) in agriculture.The first chapter provides a review of DSS in agriculture, whilst addressing the key questions surrounding their use for farm soil and crop management. The different aspects of agricultural DSS design, implementation and operation are also discussed.The second chapter assesses the role of DSS for pest monitoring and management through information ...

Reviews key steps in improving data management, from improving data access and establishing standards for reliable data to effective tagging for discoverability as well as data securityCovers a wide range of practical applications of decision support systems (DSS) in crop production, such as crop planting, nutrition and use of rotationsIncludes the use of DSS in key areas of livestock production such as feed optimization and pasture management