Identification of Eggplant Young Seedlings Infected by Root Knot Nematodes Using Near Infrared Spectroscopy - Computer and Computing Technologies in Agriculture X - 10th IFIP WG 5.14 International Conference, CCTA 2016 Access content directly
Conference Papers Year : 2019

Identification of Eggplant Young Seedlings Infected by Root Knot Nematodes Using Near Infrared Spectroscopy

Abstract

In this paper, eggplant young seedlings infected by root knot nematodes were identified using near infrared spectroscopy. The main research on MSC and SG pretreatment method and PCA principal component extraction method with the combination of effects on model for classification. Results show: The best classification process is to do the first MSC after SG smoothing pretreatment, after using PCA extracted as the main component of the SIMCA input variables for classification, and achieved a classification average accuracy higher than 90%. It is an effective method to classify the degree of infection of the root knot nematodes by using the visible and near infrared spectral characteristics of the eggplant leaves.
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hal-02180004 , version 1 (12-07-2019)

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Wei Ma, Xiu Wang, Lijun Qi, Dongyan Zhang. Identification of Eggplant Young Seedlings Infected by Root Knot Nematodes Using Near Infrared Spectroscopy. 10th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2016, Dongying, China. pp.93-100, ⟨10.1007/978-3-030-06155-5_9⟩. ⟨hal-02180004⟩
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