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. 2019 Dec 16;19(24):5558. doi: 10.3390/s19245558
ANN Artificial neural network
BC Brightness condition
CNN Convolutional neural network
CTR Correct segmentation rate of fruit trees
EMSRCM Extraction on multi-scale retinex chromatic mapping method
ERGCM RG chromatic extraction method
GLCM Gray-level co-occurrence matrix
HE Histogram equalization
HSI Hue/saturation/intensity color space
IB Insufficient brightness
imp Relative G–R chromatic value or mapping
IoU Intersection over union
LBP Local binary pattern
LiDar Light detection and ranging
LWCR Large weed coverage rate
MSR Multi-scale retinex method
MWCR Medium weed coverage rate
NDVI Normalized difference vegetation index
RGB Red/green/blue color space
RoIs Regions of interest (potential area of fruit trees)
SB Sufficient brightness
SfM Structure from motion
SRIHE Selective regions intensity histogram equalization method
SVM Support vector machine
SWCR Small weed coverage rate
UAV Unmanned aerial vehicle
UEJR Under-extraction judgement rule
WCC Weed coverage condition