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Peer-reviewedLicence not statedComputers and Electronics in Agriculture

Simple but effective unsupervised classification for specified domain images: a case study on fungi images

  • Zhaocong Liu1,2
  • Fa Zhang1,2
  • Lin Cheng1,2
  • Huanxi Deng2
  • Xiaoyan Yang3
  • Zhenyu Zhang1,2
  • Chi-Chun Zhou1,2
  1. 1Air-Space-Ground Integrated Intelligence and Big Data Application Engineering Research Center of Yunnan Provincial Department of Education, Yunnan 671003, China
  2. 2School of Engineering, Dali University, Dali, Yunnan 671003, China
  3. 3Institute of Eastern-Himalaya Biodiversity Research, Dali University, Dali 671003, China
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Cite

BibTeXRIS
BibTeX
@article{liu2026simple,
  title = {{Simple but effective unsupervised classification for specified domain images: a case study on fungi images}},
  author = {Zhaocong Liu and Fa Zhang and Lin Cheng and Huanxi Deng and Xiaoyan Yang and Zhenyu Zhang and Chi-Chun Zhou},
  journal = {Computers and Electronics in Agriculture},
  year = {2026},
  month = sep,
  doi = {10.1016/j.compag.2026.112387},
  url = {https://doi.org/10.2139/ssrn.4673082},
}
RIS
TY  - JOUR
TI  - Simple but effective unsupervised classification for specified domain images: a case study on fungi images
AU  - Zhaocong Liu
AU  - Fa Zhang
AU  - Lin Cheng
AU  - Huanxi Deng
AU  - Xiaoyan Yang
AU  - Zhenyu Zhang
AU  - Chi-Chun Zhou
PY  - 2026
DA  - 2026/09/05
JO  - Computers and Electronics in Agriculture
DO  - 10.1016/j.compag.2026.112387
UR  - https://doi.org/10.2139/ssrn.4673082
SN  - 0168-1699
SN  - 1872-7107
ER  -