Inter seasonal validation of non-contact NIR spectroscopy for measurement of total soluble solids in high tunnel strawberries.

Field measurements Near-infrared spectroscopy Non-contact interaction measurements Strawberry Sugar Total soluble solids

Journal

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
ISSN: 1873-3557
Titre abrégé: Spectrochim Acta A Mol Biomol Spectrosc
Pays: England
ID NLM: 9602533

Informations de publication

Date de publication:
10 Jan 2024
Historique:
received: 17 09 2023
revised: 20 12 2023
accepted: 04 01 2024
medline: 14 1 2024
pubmed: 14 1 2024
entrez: 13 1 2024
Statut: aheadofprint

Résumé

Autonomous field robots are being developed for picking of fruit, where each fruit needs to be individually graded and handled. There is therefore a need for rapid and non-destructive sensing to measure critical fruit quality parameters. In this article we report how total soluble solids (TSS), a measure for total sugar content, can be measured in strawberries in the field by non-contact near-infrared (NIR) interaction spectroscopy. A specially designed prototype system working in the wavelength range 760-1080 nm was tested for this purpose. This novel instrument was compared with a commercial handheld NIR reflection instrument working in the range 900-1600 nm. The instruments were calibrated in the lab using data collected from 200 strawberries of two varieties and tested in a strawberry field on 50 berries in 2022 and 100 berries in 2023. Both systems performed well during calibration with root mean square errors of cross validation for TSS around 0.49 % and 0.57 %, for interaction and reflection, respectively. For prediction of TSS in new berries in 2023, the interaction system was superior, with a prediction error of 1.0 % versus 8.1 % for the reflection system, most likely because interaction probes deeper into the berries. The results suggest that interaction measurements of average TSS are more robust and would most likely require less calibration maintenance compared to reflection measurements. The non-contact feature is important since it reduces the spread of diseases and physical damage to the berries.

Identifiants

pubmed: 38217993
pii: S1386-1425(24)00019-2
doi: 10.1016/j.saa.2024.123853
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

123853

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Jens Petter Wold reports financial support was provided by Research Council of Norway. Jens Petter Wold reports financial support was provided by The Agricultural and Food Industry Research Funds (Norway).

Auteurs

Jens Petter Wold (J)

Nofima AS - Norwegian Institute of Food, Fisheries and Aquaculture Research, PB 210 NO-1431, Aas, Norway. Electronic address: jens.petter.wold@nofima.no.

Petter Vejle Andersen (P)

Nofima AS - Norwegian Institute of Food, Fisheries and Aquaculture Research, PB 210 NO-1431, Aas, Norway. Electronic address: petter.andersen@nofima.no.

Kjersti Aaby (K)

Nofima AS - Norwegian Institute of Food, Fisheries and Aquaculture Research, PB 210 NO-1431, Aas, Norway. Electronic address: kjersti.aaby@nofima.no.

Siv Fagertun Remberg (S)

Faculty of Biosciences, Norwegian University of Life Sciences, 1430, Ås, Norway. Electronic address: siv.remberg@nmbu.no.

Anders Hansen (A)

SINTEF Digital, Smart Sensor Systems, Forskningsveien 1 0373, Oslo, Norway. Electronic address: anders.hansen@sintef.no.

Marion O'Farrell (M)

SINTEF Digital, Smart Sensor Systems, Forskningsveien 1 0373, Oslo, Norway. Electronic address: marion.ofarrell@sintef.no.

Jon Tschudi (J)

SINTEF Digital, Smart Sensor Systems, Forskningsveien 1 0373, Oslo, Norway. Electronic address: jon.tschudi@sintef.no.

Classifications MeSH