Nondestructive Quantitative Analysis of Water Potential of Tomato Leaves Using Online Hyperspectral Imaging System

Highlights We developed an online measurement system for water potential of tomato plants using hyperspectral imaging. We used Linear Discriminant Analysis to automatically and quickly extract the leaf images. We used SNV scattering correction to remove the spectral variations caused by collecting t...

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Veröffentlicht in:	Applied engineering in agriculture 2022-01, Vol.38 (2), p.273-282
Hauptverfasser:	Tung, Kuo-Chih, Yen, Ping-Lang, Tsai, Chao-Yin, Ong, Pauline, Lin, Jer-Wei, Chang, Yung-Huei, Chen, Suming
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy agriculture Calibration Discriminant analysis Hyperspectral imaging irrigation management leaf water potential leaves Mathematical analysis Measurement techniques Moisture content Moisture effects Nondestructive testing Object recognition Prediction models Quantitative analysis Soil moisture soil water content Standard error Time measurement Tomatoes variance water analysis Water supply Water use
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