Share Email Print

Proceedings Paper

Research on new methods to obtain plant growth information in facility agriculture by near-infrared spectrum analysis
Author(s): Huanyu Jiang; Yibin Ying; Qin Zhang
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 30 March 2004
PDF: 10 pages
Proc. SPIE 5271, Monitoring Food Safety, Agriculture, and Plant Health, (30 March 2004); doi: 10.1117/12.516228
Show Author Affiliations
Huanyu Jiang, Zhejiang Univ. (China)
Yibin Ying, Zhejiang Univ. (China)
Qin Zhang, Univ. of Illinois/Urbana-Champaign (United States)

Published in SPIE Proceedings Vol. 5271:
Monitoring Food Safety, Agriculture, and Plant Health
George E. Meyer; Yud-Ren Chen; Shu-I Tu; Bent S. Bennedsen; Andre G. Senecal, Editor(s)

© SPIE. Terms of Use
Back to Top