2019
DOI: 10.25165/j.ijabe.20191202.4574
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Kinetic models of peroxidase activity in potato leaves infected with late blight based on hyperspectral data

Abstract: Potato late blight, which is caused by Phytophthorainfestans (Mont.) de Bary, is a worldwide devastating disease for potato. It decreased yields of potato and caused unpredictable losses all over the world. Various simple statistical methods and forecasting models have been developed to predict and manage potato late blight. Meanwhile, there is a rising need to develop prediction models reflecting peroxidase (POD) activity, which is an important health index that varies with infection and correlated with stres… Show more

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Cited by 5 publications
(5 citation statements)
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“…In order to improve the efficiency of later modeling, SPA, CARS, and UVE algorithms were used to select the representative bands as “feature bands” from all spectral data and eliminate the bands that are not useful for this study so as to reduce the amount of data calculation. Among them, the wavelength with the least redundancy of spectral information was selected by the SPA algorithm to solve the collinear problem [ 31 ]. The wavelength point with the larger absolute value of the regression coefficient was selected by the CARS algorithm to effectively find the best spectral combination [ 32 ].…”
Section: Methodsmentioning
confidence: 99%
“…In order to improve the efficiency of later modeling, SPA, CARS, and UVE algorithms were used to select the representative bands as “feature bands” from all spectral data and eliminate the bands that are not useful for this study so as to reduce the amount of data calculation. Among them, the wavelength with the least redundancy of spectral information was selected by the SPA algorithm to solve the collinear problem [ 31 ]. The wavelength point with the larger absolute value of the regression coefficient was selected by the CARS algorithm to effectively find the best spectral combination [ 32 ].…”
Section: Methodsmentioning
confidence: 99%
“…The methods that are popular in small dataset processing may not be suitable for applications on large and complex datasets. Thus, some common methods such as SPA-PLS, UVE-PLS, and the methods based on loading weights of latent variables of PLS ( Li et al, 2007 , 2019 ; Zhang et al, 2017 , 2020 ; Li and Hui, 2019 ) were not evaluated in this study. The UFS is a typical unsupervised feature selector.…”
Section: Discussionmentioning
confidence: 99%
“…APX activity was determined according to the method [39]. Measurements of peroxidase (POD) activity was conducted according to the method [40]. The superoxide dismutase (SOD) was determined based on the method of respectively.…”
Section: Enzymes Assay and Extractionmentioning
confidence: 99%