Using channel pruning-based YOLO v4 deep learning algorithm for the real-time and accurate detection of apple flowers in natural environments
Ministry of Agriculture and Rural Affairs · Northwest A&F University
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Abstract
No abstract available for this paper.
Citation impact
491
total citations
- FWCI
- 67.05
- Percentile
- 100%
- References
- 57
Citations per year
Authors
4- DWDihua Wu
Ministry of Agriculture and Rural Affairs, Northwest A&F University
- SLShuaichao Lv
Northwest A&F University, Ministry of Agriculture and Rural Affairs
- MJMei Jiang
Northwest A&F University, Ministry of Agriculture and Rural Affairs
- HSHuaibo SongCorresponding
Ministry of Agriculture and Rural Affairs, Northwest A&F University
Topics & keywords
Topics
Keywords
- Pruning
- Channel (broadcasting)
- Artificial intelligence
- Algorithm
- Computer science
- Deep learning
- Mathematics
- Pattern recognition (psychology)
UN Sustainable Development Goals
- Life in Land
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