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year 28, Issue 2 (ICOP & ICPET 2022 2022)
ICOP & ICPET _ INPC _ ICOFS 2022, 28(2): 792-795 |
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shetabi V, Taheri ghahrizjani R, mohajerani E. Prediction and monitoring of leaf water content in cucumber plant using visible-near infrared spectroscopy (VIS/NIR). ICOP & ICPET _ INPC _ ICOFS 2022; 28 (2) :792-795
URL: http://opsi.ir/article-1-2562-en.html
URL: http://opsi.ir/article-1-2562-en.html
Abstract: (334 Views)
The leaf water content of the plant is one of the physiological parameters that is commonly used to describe the growth status and productivity of the crop. Therefore, fast and non-invasive methods are important for predicting and monitoring plant leaf water. In this study, a fast and accurate method was used using visible-infrared spectroscopy (VIS-NIR) in the range (400-1100 nm) on cucumber plant to monitor leaf water content, which can be used to determine other biochemical parameters such as Used chlorophyll. The presented results can lead to the development of portable tools for simultaneous detection of water content and other biochemical parameters quickly and non-invasively.
Type of Study: Experimental |
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