This Special Issue of Agriculture explores the potential of combining machine learning algorithms with Earth observations for enhanced crop monitoring and management. By integrating machine learning with spatial datasets, precise assessments of crop conditions can be achieved, facilitating the development of innovative strategies to boost productivity and sustainability in agriculture.