Machine learning-based crop recognition from aerial remote sensing imagery

Tian, YQ; Yang, CH; Huang, WJ; Tang, J; Li, XR; Zhang, Q

Zhang, Q (corresponding author), Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China.; Yang, CH (corresponding author), USDA ARS, Aerial Applicat Technol Res Unit, College Stn, TX 77845 USA.

FRONTIERS OF EARTH SCIENCE, ; ():

Abstract

Timely and accurate acquisition of crop distribution and planting area information is important for making agricultural planning and management decisi......

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