Hyperspectral estimation model of total phosphorus content for citrus leaves

Huang, Shuangping and Hong, Tiansheng and Yue, Xuejun and Wu, Weibin and Cai, Kun and Li, Yunyu (2013) Hyperspectral estimation model of total phosphorus content for citrus leaves. Transactions of the Chinese Society for Agricultural Machinery , 44 (4). 202-207+195. ISSN 1000-1298


Field experiments were conducted on 117 planted Luogang citrus trees in the crab village of Guangzhou. 234 pairs of data sample were collected in two different development stages, respectively, germination period and fruit picking period. Hyperspectral reflection data was used as high-dimensional vector description. Phosphorus content measured by chemical method as true label and to predict the phosphorus content of citrus leaves. Two mainstream multivariate regression analysis algorithms, partial least squares and support vector regression, were used for modeling and prediction after various preprocessing on spectral reflectance data. Calibration and validation sets were used to evaluate the predictive performance of model. Two regression analysis methods respectively achieved coefficient of determination of 0.905 and 0.881, the MSE of 0.005 and 0.004, the mean relative error of 0.0264 and 0.0312, respectively. The experimental results showed that it is an effective way to predict phosphorus level based on hyperspectral reflection data.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Journal title: Nongye Jixie Xuebao. Publisher copyright.
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering
Date Deposited: 29 Apr 2013 23:30
Last Modified: 10 Dec 2014 04:18
Uncontrolled Keywords: citrus leaves; content of phosphorus; hyperspectral; partial least squares; support vector regression; China
Fields of Research : 07 Agricultural and Veterinary Sciences > 0706 Horticultural Production > 070601 Horticultural Crop Growth and Development
06 Biological Sciences > 0607 Plant Biology > 060702 Plant Cell and Molecular Biology
09 Engineering > 0999 Other Engineering > 099901 Agricultural Engineering
Socio-Economic Objective: B Economic Development > 82 Plant Production and Plant Primary Products > 8202 Horticultural Crops > 820203 Citrus Fruit
Identification Number or DOI: 10.6041/j.issn.1000-1298.2013.04.035
URI: http://eprints.usq.edu.au/id/eprint/23409

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