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...

Assesses key developments in sensor technology to improve monitoring and management of complex agricultural systemsConsiders the growing influence of proximal crop sensors in assessing, monitoring and measuring the health of agricultural soilsExplores the potential of remote and aerial sensing towards achieving sustainable crop production through more targeted irrigation management, site-specific nutrient management and weed management