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This is a Observational study (also classified as: In Vitro Study).

August 17, 2025AnimalsOpen Access

Real-Time Dry Matter Prediction in Whole-Plant Corn Forage and Silage Using Portable Near-Infrared Spectroscopy

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Real-time predictions of dry matter concentration were achieved using portable near-infrared spectroscopy.
The pNIRS showed lower mean bias compared to conventional drying methods, though accuracy varied by sample type.
Analysis included a total of 140 samples across three independent experiments, enhancing reliability of results.
Further calibrations of the predictive curve are needed for improving accuracy in heterogeneous corn silage samples.

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Comparison of near-infrared spectroscopy and Koster tester for dry matter in corn forage and silage, indicating predictive accuracy challenges.

Pupo et al. (2025) studied this question.

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Comparison of near-infrared spectroscopy and Koster tester for dry matter in corn forage and silage, indicating predictive accuracy challenges.