30 March 2004 Research on new methods to obtain plant growth information in facility agriculture by near-infrared spectrum analysis
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Proceedings Volume 5271, Monitoring Food Safety, Agriculture, and Plant Health; (2004) https://doi.org/10.1117/12.516228
Event: Optical Technologies for Industrial, Environmental, and Biological Sensing, 2003, Providence, RI, United States
Abstract
In this study, using the pepper leaves in facility agriculture as the experimental materials, research the application of near infrared spectrum analysis technique to obtain plant growth information. Chlorophyll content of plant leaves is useful information in describing and interpreting the performance of whole-plant systems grows under various conditions, and Near-infrared spectroscopy is a non-destructive analytical technique, which is widely used in farm production. In order to establish a model to predict the relationship between near infrared spectrum and leaf chlorophyll content, a chlorophyll meter and a near infrared spectrometer were used to get chlorophyll content and spectrum of pepper leaf respectively, after that, we use OMINIC and TQ software to acquire and process spectrums of leaves, and use partial least squares (PLS) technique to analyze the data we get by normal experimentation and near infrared spectrometer, set up a calibration model to predict the leaf chlorophyll content based on the characteristics of diffuse reflectance spectrums of pepper leaves. Result showed that NIR technique could acquire chlorophyll content in plant leaves conveniently and quickly. The best model of chlorophyll content has a root mean square error of prediction (RMSEP) of 2.44 and a calibration correlation coefficient (R2) value of 0.969.
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Huanyu Jiang, Huanyu Jiang, Yibin Ying, Yibin Ying, Qin Zhang, Qin Zhang, } "Research on new methods to obtain plant growth information in facility agriculture by near-infrared spectrum analysis", Proc. SPIE 5271, Monitoring Food Safety, Agriculture, and Plant Health, (30 March 2004); doi: 10.1117/12.516228; https://doi.org/10.1117/12.516228
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