A novel method for online sex sorting of silkworm pupae (<i>Bombyx mori</i>) using computer vision combined with deep learning
This research presents a practical method for online SP gender separation, potentially aiding the production of high-quality SP. © 2025 Society of Chemical Industry.
Authors
- Xinglan Fu (ORCID: https://orcid.org/0000-0001-5718-4881)
- dan tao (ORCID: https://orcid.org/0000-0001-7422-4136)
- Chunjiang Zhao (ORCID: https://orcid.org/0000-0001-8784-3569)
- Feng Guo
- Guanglin Li (ORCID: https://orcid.org/0000-0002-9731-6831)
- Wei Qin (ORCID: https://orcid.org/0000-0002-9513-4372)
Institutions
- East China Jiaotong University (CN)
- Southwest University (CN)
- National Engineering Research Center for Information Technology in Agriculture (CN)
Publication Details
- Journal
- Journal of the Science of Food and Agriculture
- Published
- 2025-02-12
- DOI
- https://doi.org/10.1002/jsfa.14177
- Citations
- 4
- Primary Topic
- Silkworms and Sericulture Research
- Type
- article
- Field-Weighted Citation Impact
- 6.69
Funders
- National Natural Science Foundation of China