2021
DOI: 10.3390/foods10112686
|View full text |Cite
|
Sign up to set email alerts
|

Evaluation of MEMS NIR Spectrometers for On-Farm Analysis of Raw Milk Composition

Abstract: Today, measurement of raw milk quality and composition relies on Fourier transform infrared spectroscopy to monitor and improve dairy production and cow health. However, these laboratory analyzers are bulky, expensive and can only be used by experts. Moreover, the sample logistics and data transfer delay the information on product quality, and the measures taken to optimize the care and feeding of the cattle render them less suitable for real-time monitoring. An on-farm spectrometer with compact size and affor… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
18
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 19 publications
(18 citation statements)
references
References 33 publications
0
18
0
Order By: Relevance
“…Reference measurements were acquired for fat and protein content as a percentage of the sample weight for each sample. See the original publication 18 for details. This dataset is included as an example where orthogonalisation of loading weights and use of additional responses in modelling has a profound effect on model parsimony (the number of required extracted components).…”
Section: Data Setsmentioning
confidence: 99%
“…Reference measurements were acquired for fat and protein content as a percentage of the sample weight for each sample. See the original publication 18 for details. This dataset is included as an example where orthogonalisation of loading weights and use of additional responses in modelling has a profound effect on model parsimony (the number of required extracted components).…”
Section: Data Setsmentioning
confidence: 99%
“…The milk dataset is a perfect example of multiblock multiway multiple response data set, hence suitable to show all the capabilities of the SKCovSel method. The milk data set has spectral, protein and fat measurements performed on 296 milk samples 31 . Three portable spectral sensors were used to collected spectral data on milk samples: NIRONE 1.4 (1100 to 1400 nm), NIRONE 2.0 (1550 to 1950 nm) and NIRONE 2.5 (2000 to 2450 nm) from Spectral Engines (Helsinki, Finland).…”
Section: Datamentioning
confidence: 99%
“…Due to the extra measurement in the reflection mode, the data from NIRONE 2.0 can be considered as 3‐way data (samples × spectral variable × measurement mode). More information on the data set and reference protein and fat analysis protocol can be obtained in the earlier study 31 . Data are summarised in Table 1.…”
Section: Datamentioning
confidence: 99%
See 2 more Smart Citations