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
Tea Chrysanthemum Detection under Unstructured Environments Using the TC-YOLO Model
Chao Qi, Junfeng Gao, Simon Pearson +3
Tea chrysanthemum detection at its flowering stage is one of the key components for selective chrysanthemum harvesting robot development. However, it is a challenge to detect flowe…