Predicting the Photosynthetic Rate of Chinese Brassica Using Deep Learning Methods

Predicting the Photosynthetic Rate of Chinese Brassica Using Deep Learning Methods

Water stress is a significant element impacting photosynthesis, which is one of the major physiological activities governing crop growth and development. In this study, the photosynthetic rate of <i>Brassica chinensis</i> L. var. <i>parachinensis</i> (Bailey) (referred to as...

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Bibliographic Details
Main Authors: Peng Gao, Jiaxing Xie, Mingxin Yang, Ping Zhou, Gaotian Liang, Yufeng Chen, Daozong Sun, Xiongzhe Han, Weixing Wang
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
photosynthesis
Chinese Brassica
LSTM
CWSI
clustering
deep learning
Agriculture
S
Online Access:https://doaj.org/article/eacea0a58ee04b8d8e8d3543d082f7ae
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https://doaj.org/article/eacea0a58ee04b8d8e8d3543d082f7ae

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