Editorial: Machine vision and machine learning for plant phenotyping and precision agriculture

Front Plant Sci. 2023 Nov 27:14:1331918. doi: 10.3389/fpls.2023.1331918. eCollection 2023.

Authors

Huajian Liu¹, Zhanyou Xu²

Affiliations

¹ Australian Plant Phenomics Facility, The Plant Accelerator, School of Agriculture, Food and Wine, University of Adelaide, Urrbrae, SA, Australia.
² United States Department of Agriculture - Agricultural Research Service - Plant Science Research, St. Paul, MN, United States.

No abstract available

Keywords: deep learning; machine learning; machine vision; plant phenotyping; precision agriculture.

Publication types

Editorial

Grants and funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.