A detection algorithm for cherry fruits based on the improved YOLO-v4 model
Author:
Funder
Dalian Science and Technology Bureau
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-06029-z.pdf
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3. Li JB, Huang WQ, Zhao CJ (2014) Machine vision technology for detecting the external defects of fruits — a review. J Photogr Sci 63(5):241–251. https://doi.org/10.1179/1743131X14Y.0000000088
4. Gao F, FuZhang LX, Majeed Y, Li R, Karkee M, Zhang Q (2020) Multi-class fruit-on-plant detection for apple in SNAP system using faster R-CNN. Comput Electron Agric 176:105634. https://doi.org/10.1016/j.compag.2020.105634
5. Fu L, Gao F, Wu J, Li R, Karkee M, Zhang Q (2020) Application of consumer RGB-D cameras for fruit detection and localization in field: a critical review. Comput Electron Agric 177:105687. https://doi.org/10.1016/j.compag.2020.105687
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