Luca Ferrari,John H. Posselius,James W. Henry,Taylor C. Bybee
申请号：
US16015627
公开号：
US20190392573A1
申请日:
2018.06.22
申请国别(地区):
US
年份:
2019
代理人:
摘要：
The present disclosure provides systems and methods that measure crop residue in a field from imagery of the field. In particular, the present subject matter is directed to systems and methods that include or otherwise leverage a machine-learned semantic segmentation model to determine a crop residue parameter value for a portion of a field based at least in part on imagery of such portion of the field captured by an imaging device. For example, the imaging device can be a camera positioned in a downward-facing direction and physically coupled to a work vehicle or an implement towed by the work vehicle through the field.
