Convolutional Neural Networks for Image-Based High-Throughput Plant Phenotyping: A Review
Plant phenotyping has been recognized as a bottleneck for improving the efficiency of breeding programs, understanding plant-environment interactions, and managing agricultural systems. In the past five years, imaging approaches have shown great potential for high-throughput plant phenotyping, resul...
Main Authors: | Yu Jiang, Changying Li |
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Format: | Article |
Language: | English |
Published: |
American Association for the Advancement of Science
2020-01-01
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Series: | Plant Phenomics |
Online Access: | http://dx.doi.org/10.34133/2020/4152816 |
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