Journal of Spectral Imaging,   Volume 6   Article ID a1   (2017)

Peer reviewed Paper

Assessment of pesticide coating on cereal seeds by near infrared hyperspectral imaging

  • Ph. Vermeulen
  • P. Flémal
  • O. Pigeon
  • P. Dardenne
  • J. A. Fernández Pierna
  • V. Baeten
Faculty of Bioscience Engineering & Institute of Life Sciences, UCL, Croix du Sud, 2 bte L7.05.08 1348 Louvain-la-Neuve, Belgium

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Plant Protection Products and Biocides Physico-chemistry and Residues Unit, Walloon Agricultural Research Centre (CRA-W), Carson building, 11, rue de Bordia, 5030 Gembloux, Belgium

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Food and Feed Quality Unit, Walloon Agricultural Research Centre (CRA-W), Henseval building, 24, chaussée de Namur, 5030 Gembloux, Belgium

 https://orcid.org/0000-0002-6866-8467
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Food and Feed Quality Unit, Walloon Agricultural Research Centre (CRA-W), Henseval building, 24, chaussée de Namur, 5030 Gembloux, Belgium

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Food and Feed Quality Unit, Walloon Agricultural Research Centre (CRA-W), Henseval building, 24, chaussée de Namur, 5030 Gembloux, Belgium and Faculty of Bioscience Engineering & Institute of Life Sciences, UCL, Croix du Sud, 2 bte L7.05.08 1348 Louvain-la-Neuve, Belgium

 https://orcid.org/0000-0003-4342-333X
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 Corresponding Author
Food and Feed Quality Unit, Walloon Agricultural Research Centre (CRA-W), Henseval building, 24, chaussée de Namur, 5030 Gembloux, Belgium
[email protected]
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Classical chromatographic methods, such as ultra performance liquid chromatography (UPLC), are used as reference methods to assess seed quality and homogeneous pesticide coating of seeds. These methods have some important drawbacks since they are time consuming, expensive, destructive and require a substantial amount of solvent, among others. Near infrared (NIR) spectroscopy seems to be an interesting alternative technique for the determination of the quality of seed treatment and avoids most of these drawbacks. The objective of this study was to assess the quality of pesticide coating treatment by near infrared hyperspectral imaging (NIR-HSI) by analysing, on a seed-by-seed basis, several seeds simultaneously in comparison to NIR spectroscopy and UPLC as the reference method. To achieve this goal, discrimination—partial least squares discriminant analysis (PLS-DA)—models and regression—partial least squares (PLS)—models were developed. The results obtained by NIR-HSI are compared to the results obtained with NIR spectroscopy and UPLC instruments. This study has shown the potential of NIR hyperspectral imaging to assess the quality/homogeneity of the pesticide coating on seeds.

Keywords: cereal seeds, pesticide coating, NIR hyperspectral imaging

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