Perspectives and Challenges of Machine Learning for Applications in Agriculture and Vegetation Using Remote Sensing
Recent advances in Earth observation and machine learning have significantly enhanced the capacity to monitor agricultural systems and terrestrial vegetation across spatial and temporal scales. This editorial synthesizes the contributions of eleven studies published in the Special Issue ‘Machine Learning for Applicatio...