A study supported by the United States Department of Agriculture–National Institute of Food and Agriculture aims to evaluate the efficacy of simple linear, multiple, and robust regression methods to predict fall-harvested alfalfa (Medicago sativa L.) yield using unmanned aerial vehicle (UAV)-acquired multispectral and thermal images. Continue reading