Monitoring Watercress Shelf-life with VNIR Hyperspectral Image through Packaging Film

Lara Blas, Miguel Ángel and Lleó García, Lourdes and Roger, Jean-Michel and Diezma Iglesias, Belen (2018). Monitoring Watercress Shelf-life with VNIR Hyperspectral Image through Packaging Film. In: "European Conference on Agricultural Engineering AgEng 2018", 08/07/2018-12/07/2018, Wageningen, Países Bajos. p. 9.

Description

Title: Monitoring Watercress Shelf-life with VNIR Hyperspectral Image through Packaging Film
Author/s:
  • Lara Blas, Miguel Ángel
  • Lleó García, Lourdes
  • Roger, Jean-Michel
  • Diezma Iglesias, Belen
Item Type: Presentation at Congress or Conference (Article)
Event Title: European Conference on Agricultural Engineering AgEng 2018
Event Dates: 08/07/2018-12/07/2018
Event Location: Wageningen, Países Bajos
Title of Book: Proceedings of the European Conference on Agricultural Engineering AgEng 2018
Date: July 2018
Subjects:
Freetext Keywords: Image analysis; Non-destructive assessment; Ready to use leafy vegetables; Transparent plastic films
Faculty: E.T.S. de Ingeniería Agronómica, Alimentaria y de Biosistemas (UPM)
Department: Ingeniería Agroforestal
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The aim of the present work is to monitor the shelf-life of watercress (Nasturtium officinale) by means of hyperspectral images through packaging films. Fifteen watercress leaves were randomly selected from a commercial bag, put inside Petri dishes covered by plastic film and stored at 4ºC for 16 days. Hyperspectral images (VNIR 400-1000 nm) were taken during this storage, getting five acquisitions for each leaf. The average spectrum of each image was computed; several models were obtained from these average spectra. A radiometric correction was applied in order to avoid the variation in transmittance of the plastic film along storage in the hyperspectral images. Afterwards, three spectral pre-processing procedures (no preprocess, Savitsky?Golay and Standard Normal Variate, combined with Principal Component Analysis) were applied to obtain different models. These specific models for watercress along with other models previously developed for spinach were applied and compared. The artificial images of scores obtained, applying each model to the original and complete images, were compared by means of Analysis of Variance and Wilks-?. Radiometric correction allowed the supervision of shelf-life in leafy vegetables through commercial transparent films. All models applied were able to monitor the aging of the leaves. However, the models developed specifically for watercress spectra were more suitable for monitoring the shelf-life of this vegetable leaf along the storage. There were some differences between the models applied for spinach and for watercress leaves. Despite it, it seems to be necessary to study the spectra of each leafy vegetable independently for developing prediction models more able to monitor the aging of the leaves. Hyperspectral imaging could be used for monitoring the freshness of watercress and/or mix of salad leaves during their shelf-life. Multispectral indexes based on results of PCA and spectral patterns, could contribute to the transference of the technique to the industry.

Funding Projects

TypeCodeAcronymLeaderTitle
Madrid Regional GovernmentS2013/ABI-2747TAVS-CMUnspecifiedTecnologías avanzadas en Vigilancia Sanitaria

More information

Item ID: 55268
DC Identifier: http://oa.upm.es/55268/
OAI Identifier: oai:oa.upm.es:55268
Official URL: https://www.eurageng.eu/news/AgEng2018
Deposited by: Memoria Investigacion
Deposited on: 18 Jul 2019 08:17
Last Modified: 18 Jul 2019 08:17
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