Transferring learned patterns from ground-based field imagery to predict UAV-based imagery for crop and weed semantic segmentation in precision crop farming

no code implementations • 20 Oct 2022 • Junfeng Gao, Wenzhi Liao, David Nuyttens, Peter Lootens, Erik Alexandersson, Jan Pieters

The results show that the mean intersection of union (IOU) values of the segmentation for the crop (maize), weeds, and soil background in the developed model for the field dataset are 0. 744, 0. 577, 0. 979, respectively, and the performance of aerial images from an UAV with the same model, the IOU values of the segmentation for the crop (maize), weeds and soil background are 0. 596, 0. 407, and 0. 875, respectively.

Segmentation Semantic Segmentation