Potassium content prediction model of citrus leaves in different phenological period

Huang, Shuangping and Yue, Xuejun and Hong, Tiansheng and Wu, Weibin and Li, Yunyu (2013) Potassium content prediction model of citrus leaves in different phenological period. Journal of Jiangsu University (Natural Science Edition) , 34 (5). pp. 529-535. ISSN 1671-7775

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Abstract

Based on reflectance spectra, the potassium (K) content prediction model was established to realize non-destructive testing of K content in citrus trees. Field experiments were conducted on 117 planted Luogang citrus trees in the Crab Village, and the data was collected on fresh and healthy citrus leaves in four dominant phenological periods. The hyper-spectrometer ASD FieldSpec3 and the flame photometry were used to detect spectral reflectance data and K-contents, respectively. A series of experiments were conducted to analyze the sensitive frequency band of K-contents and the modeling regularity of prediction in different phonological periods. The results show that there is frequency drift of K-contents relevant sensitive band in different phenological periods. Compared with MLR, SVR and PLS, better prediction results can be obtained based on K-contents relevant sensitive frequency band. The R2 of 0.994 and the mean square error of 0.120 with mean relative error of 1.33% are obtained in SVR model on validation set, which illuminates that SVR can well predict K-contents in whole growth periods based on reflectance spectra, regardless of frequency drift and the discrepant model performance.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 28 May 2014 06:07
Last Modified: 22 Mar 2017 04:59
Uncontrolled Keywords: citrus leaves; hyperspectral; modeling and prediction; phonological period; potassium content
Fields of Research : 07 Agricultural and Veterinary Sciences > 0706 Horticultural Production > 070601 Horticultural Crop Growth and Development
06 Biological Sciences > 0601 Biochemistry and Cell Biology > 060112 Structural Biology (incl. Macromolecular Modelling)
03 Chemical Sciences > 0301 Analytical Chemistry > 030101 Analytical Spectrometry
Socio-Economic Objective: B Economic Development > 82 Plant Production and Plant Primary Products > 8202 Horticultural Crops > 820203 Citrus Fruit
Identification Number or DOI: 10.3969/j.issn.1671-7775.2013.05.007
URI: http://eprints.usq.edu.au/id/eprint/24174

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