An integrated system for mapping red clover ground cover using unmanned aerial vehicles: A case study in precision agriculture [Canada]

A dataset collected and ground-truthed for the purpose of mapping red clover ground cover using classification algorithms. The dataset consists of 4 classess representing 0%, 33%, 67%, and 100% ground cover percentage. A total of 6 datasets were processed, 5 using a various histogram feature spaces, and one using the pixel values. All datasets are pickled.