Prediction and monitoring of leaf water content in soybean plants using terahertz time-domain spectroscopy

Volume: 170, Pages: 105239 - 105239
Published: Mar 1, 2020
Abstract
Leaf water content (LWC) is one of the physiological parameters most commonly used for describing crop growth status and productivity. Thus, rapid and non-destructive methods for the prediction of LWC are important. Here, a rapid and accurate LWC monitoring method using terahertz time-domain spectroscopy (THz-TDS) was tested on soybean. A high-precision mathematical model was developed to predict LWC based on the results of THz-TDS. Next, the...
Paper Details
Title
Prediction and monitoring of leaf water content in soybean plants using terahertz time-domain spectroscopy
Published Date
Mar 1, 2020
Volume
170
Pages
105239 - 105239
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