OpenPheno: an open-access, user-friendly, and smartphone-based software platform for instant plant phenotyping
By leveraging cloud computing and a widely accessible interface, OpenPheno democratizes plant phenotyping, making advanced tools available to a broader audience, including plant scientists, breeders, and even amateurs. It can function as a role in AI-driven breeding by providing the necessary data for genotype-phenotype analysis, thereby accelerating breeding programs. Its integration with smartphones also positions OpenPheno as a powerful tool in the growing field of mobile-based agricultural technologies, paving the way for more efficient, scalable, and accessible agricultural research and breeding.
Authors
- Tingting Wu (ORCID: https://orcid.org/0000-0002-4331-8890)
- Changfa Xia (ORCID: https://orcid.org/0000-0001-9097-1369)
- Hao Lü (ORCID: https://orcid.org/0000-0003-3854-8664)
- Yongshuai Zhang
- Xin Li (ORCID: https://orcid.org/0000-0002-6522-1838)
- Jiafei Zhang
- Ping Liu (ORCID: https://orcid.org/0000-0002-8793-1283)
- Zhiguo Han
- Peng Shen (ORCID: https://orcid.org/0000-0002-3765-2630)
Institutions
- Photronics (United States) (US)
- Shanghai Institute of Landscape Gardening (CN)
- Wuhu Hit Robot Technology Research Institute (CN)
- Sanya University (CN)
- Robotic Technology (United States) (US)
- Huazhong University of Science and Technology (CN)
- Shandong Agricultural University (CN)
- Northwest A&F University (CN)
Publication Details
- Journal
- Plant Methods
- Published
- 2025-06-02
- DOI
- https://doi.org/10.1186/s13007-025-01395-4
- Citations
- 4
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 7.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Hubei Province