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

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Computer and Computing Technologies in Agriculture X (CCTA 2016)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 509))

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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Acknowledgements

This work was supported by the National Key Research and Development of China during the 13th Five-Year Plan Period(No. 2017YFD0201607-2) and our research center Innovation team project (JNKST201619). Sincere thanks to Dr. Liu Ting for helping me complete the complex work of inoculating the eggplant with nematodes.

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Authors and Affiliations

  1. Intelligent Equipment for Agriculture, Beijing Research Center, Beijing, 100097, China

    Wei Ma & Xiu Wang

  2. Intelligent Equipment for Agriculture, National Engineering Research Center, Beijing, 100097, China

    Wei Ma & Xiu Wang

  3. College of Engineering, China Agricultural University, Beijing, 100083, China

    Lijun Qi

  4. School of Electronics and Information Engineering, Anhui University, Hefei, 230601, China

    Dongyan Zhang

Authors
  1. Wei Ma
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  2. Xiu Wang
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  3. Lijun Qi
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  4. Dongyan Zhang
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Corresponding author

Correspondence to Xiu Wang .

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Editors and Affiliations

  1. China Agricultural University, Beijing, China

    Daoliang Li

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Ma, W., Wang, X., Qi, L., Zhang, D. (2019). Identification of Eggplant Young Seedlings Infected by Root Knot Nematodes Using Near Infrared Spectroscopy. In: Li, D. (eds) Computer and Computing Technologies in Agriculture X. CCTA 2016. IFIP Advances in Information and Communication Technology, vol 509. Springer, Cham. https://doi.org/10.1007/978-3-030-06155-5_9

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  • DOI: https://doi.org/10.1007/978-3-030-06155-5_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-06154-8

  • Online ISBN: 978-3-030-06155-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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