2 papers
cs.CV2022
Transferring learned patterns from ground-based field imagery to predict UAV-based imagery for crop and weed semantic segmentation in precision crop farming
Junfeng Gao, Wenzhi Liao, David Nuyttens +3
Weed and crop segmentation is becoming an increasingly integral part of precision farming that leverages the current computer vision and deep learning technologies. Research has be…
cs.CV2021
In-field early disease recognition of potato late blight based on deep learning and proximal hyperspectral imaging
Chao Qi, Murilo Sandroni, Jesper Cairo Westergaard +4
Effective early detection of potato late blight (PLB) is an essential aspect of potato cultivation. However, it is a challenge to detect late blight at an early stage in fields wit…