Miniaturised NIR Sensor Data for Milk Fatty Acid Prediction in Individual Cows

Five spectroscopic systems were benchmarked for predicting milk components. The dataset includes results from a miniaturised near-infrared sensor compared against established techniques like Mid-Infrared and Gas Chromatography. It was authored by Yash Dixit and last updated on 2026-05-08.

Use Cases

• Benchmarking miniaturised sensor performance based on comparisons with benchtop and handheld instruments mentioned in the description
• Predicting de novo fatty acid concentrations based on NIR spectral data referenced in the study
• Assessing metabolic stress indicators in dairy cows based on the link to milk components described in the results
• Evaluating cost-effective on-farm monitoring pathways based on the sensor's described robustness

Strengths

• Five different spectroscopic systems were compared, providing a multi-instrument benchmark
• Reference values were obtained using established analytical methods (MIR and GC-FID)
• Performance was evaluated at both herd and individual cow levels

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The description notes a 'seasonal bias' in the predicted fatty acid concentrations

Provenance

Source

figshare

Collection Method

Liquid milk samples analyzed by five spectroscopic systems and reference methods (MIR, GC-FID).

Time Range

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Freshness

Last updated 2026-05-08 05:53:50; freshness should be verified

Geography

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