Your Location:
Home >
Browse articles >
Insect identification and counting based on an improved Faster-RCNN model of the sticky board image
Insect identification and counting based on an improved Faster-RCNN model of the sticky board image
- Journal of China Agricultural University Vol. 24, Issue 5, (2019)
DOI: 10.11841/j.issn.1007-4333.2019.05.14
Scan QR Code
Full Text(HTML)
References
Publication Info
Metrics
6
Views
8
Downloads
12
CSCD
Alert me when the article has been cited
Submit
Tools
- BibTeXDownload
- EndnoteDownload
- RefMan Download
- NoteExpressDownload
- NoteFirstDownload
Related Articles
Impact of full-cost insurance policy and crop revenue insurance on grain production resilience
Intraspecific recurrent selection in Vitis vinifera L.: An effective method for breeding grapevine with high quality and comprehensive stress resistance
Research status and hotspot of artificial intelligence driven genomics research based on CiteSpace
Action mechanism and realization path of the conjugate-driven urban-rural integration in the development of county agriculture, culture, sports and tourism
Multi-actor collaborative strategies and optimization pathways for high-standard farmland construction
Related Author
No data
Related Institution
No data


