Effect of germ orientation during Vis-NIR hyperspectral imaging for the detection of fungal contamination in maize kernel using PLS-DA, ANN and 1D-CNN modelling

Fungal contamination of maize during pre and post-harvest is rampant and omnipresent. Hyperspectral imaging (HSI) is a popular non-invasive technique for detection of fungal contamination in maize kernels and secures acceptance for online implementation. Designed experiments were conducted to identi...

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Veröffentlicht in:	Food control 2022-09, Vol.139, p.109077, Article 109077
Hauptverfasser:	Mansuri, Shekh Mukhtar, Chakraborty, Subir Kumar, Mahanti, Naveen Kumar, Pandiselvam, R.
Format:	Artikel
Sprache:	eng
Schlagworte:	1D-CNN ANN Aspergillus niger cameras corn data collection food safety Fungal contamination Hyperspectral imaging Maize germ neural networks PLS-DA prediction
Online-Zugang:	Volltext
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