Evaluating the Performance of Hyperspectral Leaf Reflectance to Detect Water Stress and Estimation of Photosynthetic Capacities

Evaluating the Performance of Hyperspectral Leaf Reflectance to Detect Water Stress and Estimation of Photosynthetic Capacities

Advanced techniques capable of early, rapid, and nondestructive detection of the impacts of drought on fruit tree and the measurement of the underlying photosynthetic traits on a large scale are necessary to meet the challenges of precision farming and full prediction of yield increases. We tested t...

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Bibliographic Details
Main Authors: Jing-Jing Zhou, Ya-Hao Zhang, Ze-Min Han, Xiao-Yang Liu, Yong-Feng Jian, Chun-Gen Hu, Yuan-Yong Dian
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Remote Sensing
Subjects:
water stress
photosynthetic CO<sub>2</sub> assimilation rate
leaf conductance
transpiration rate
hyperspectral reflectance
machine language algorithms
Online Access:https://www.mdpi.com/2072-4292/13/11/2160

Internet

https://www.mdpi.com/2072-4292/13/11/2160

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