Machine vision-based detection of browning maturity in shiitake cultivation sticks
The collaborative two-stage model provides an effective and quantitative solution for maturity detection of shiitake cultivation sticks during the browning stage. This work promotes the intelligent and standardized development of shiitake substrate cultivation.
Authors
- Zuolin Li (ORCID: https://orcid.org/0000-0001-9766-584X)
- Jing Dong (ORCID: https://orcid.org/0000-0003-2609-7851)
- Wengang Zheng (ORCID: https://orcid.org/0000-0001-8901-6284)
- Feifei Shan (ORCID: https://orcid.org/0000-0002-4470-6561)
- Mingfei Wang
- Rui–Xue Xu (ORCID: https://orcid.org/0000-0001-9931-201X)
- Xin Zhang (ORCID: https://orcid.org/0000-0002-9291-0671)
- Yajun Wang (ORCID: https://orcid.org/0000-0002-1712-2819)
- Wei Liu (ORCID: https://orcid.org/0000-0001-7586-7117)
- Jiuxiao Zhao
- Qingbiao Song (ORCID: https://orcid.org/0009-0009-9958-538X)
- Z. Liu (ORCID: https://orcid.org/0000-0001-9866-0354)
- Pengfei Zhao (ORCID: https://orcid.org/0000-0002-5349-2040)
Institutions
- Shandong University of Technology (CN)
- Beijing Academy of Agricultural and Forestry Sciences (CN)
- National Engineering Research Center for Information Technology in Agriculture (CN)
- Shanxi Science and Technology Department (CN)
- Dalian Polytechnic University (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2025-11-07
- DOI
- https://doi.org/10.3389/fpls.2025.1676977
- Primary Topic
- Spectroscopy and Chemometric Analyses
- Type
- article
- Field-Weighted Citation Impact
- 0.00