Machine vision-based detection method for key phenotypic information of shiitake mushroom stipes
Experimental results confirm the effectiveness and reliability of the proposed method. This study provides an efficient and accurate approach for detecting key stipe traits, offering significant support for advancing intelligent shiitake mushroom breeding and enhancing cultivation quality.
Authors
- Jing Dong (ORCID: https://orcid.org/0000-0003-2609-7851)
- Qiuxiao Song
- Mengdi Wang (ORCID: https://orcid.org/0000-0002-2101-9507)
- Wengang Zheng (ORCID: https://orcid.org/0000-0002-6146-0751)
- Jiuxiao Zhao
- Zuolin Li (ORCID: https://orcid.org/0000-0002-2013-2153)
- Ruixue Xu
- Wei Liu
- Feifei Shan
- Guoqiang Guo
- Cheng Chen
- Xin Zhang
Institutions
- Qihoo 360 (China) (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)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2026-01-22
- DOI
- https://doi.org/10.3389/fpls.2025.1695008
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Beijing Academy of Agricultural and Forestry Sciences