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Review Article

Convolutional Neural Networks for Image-Based High-Throughput Plant Phenotyping: A Review

Yu Jiang1,2,3 and Changying Li2,3

1Horticulture Section, School of Integrative Plant Science, Cornell AgriTech, Cornell University, USA
2School of Electrical and Computer Engineering, College of Engineering, The University of Georgia, USA
3Phenomics and Plant Robotics Center, The University of Georgia, USA
Correspondence should be addressed to Changying Li; cyli@uga.edu

How to Cite this Article

Yu Jiang and Changying Li, “Convolutional Neural Networks for Image-Based High-Throughput Plant Phenotyping: A Review,” Plant Phenomics, vol. 2020, Article ID 4152816, 22 pages, 2020. https://doi.org/10.34133/2020/4152816.

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