NDLI: Pre-visual diagnostics of phosphorus deficiency in mini-cucumber plants using near-infrared reflectance spectroscopy.

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Pre-visual diagnostics of phosphorus deficiency in mini-cucumber plants using near-infrared reflectance spectroscopy.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Shi, Jiyong Zou, Xiaobo Zhao, Jiewen Mao, Hanping Wang, Kailiang Chen, Zhengwei Huang, Xiaowei Holmes, Mel
Description	Country affiliation: China Author Affiliation: Shi J ( School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China.)
Abstract	The morphological symptoms of phosphorus (P) deficiency in the leaves of mini-cucumber plants at early stages of development have features similar to that of early stage development in healthy plants. That similarity may lead to inappropriate visual diagnostics of phosphorus deficiency in analyzed samples. Because the differences in spectral properties of leaf tissues between phosphorus-deficient and healthy plants can be demonstrated, the feasibility of using near-infrared (NIR) spectroscopy for rapid and nondestructive diagnostics of phosphorus deficiency in mini-cucumber plants was investigated. Leaf reflection spectra in the wavelength range of 10,000-4000 cm(-1) were measured before the appearance of morphological changes caused by phosphorus deficiency. Least-squares support vector machine (LS-SVM), a method for recognizing patterns, was applied to identify phosphorus-deficient plants. Parameters (Î³, σ(2)) of LS-SVM were optimized by cross-validation, and several conventional, two-class classification methods such as linear discrimination analysis and K-nearest neighbors were also used comparatively for identification. Identification rates in excess of 86% were achieved with the LS-SVM model for both the training set and the prediction set. The overall results indicated that NIR spectra combined with LS-SVM could be used efficiently for pre-visual diagnostics of phosphorus deficiency in mini-cucumber plants.
File Format	HTM / HTML
ISSN	00037028
Issue Number	12
Volume Number	66
e-ISSN	19433530
Journal	Applied Spectroscopy
Language	English
Publisher	Sage Publication
Publisher Date	2012-12-01
Publisher Place	United States
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Imaging Discipline Analytical Chemistry Discipline Radiology Cucumis Sativus Chemistry Phosphorus Analysis Deficiency Spectroscopy, Near-infrared Methods Metabolism Least-squares Analysis Plant Leaves Support Vector Machines Journal Article Research Support, Non-u.s. Gov't
Content Type	Text
Resource Type	Article
Subject	Spectroscopy Instrumentation

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