ArticleScientific reports2025
Rapid feed component assessment to enhance livestock productivity and reduce emissions.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
The rising global demand for livestock products necessitates innovations in feed management to enhance efficiency and sustainability. Variability in livestock feed nutrient composition highlights the need for real-time monitoring to ensure animals receive proper nutrition. In this study, we first used Analysis of Variance (ANOVA) to measure differences in moisture content (MC), crude protein (CP), and neutral detergent fiber (NDF) across eight feed types from seven factories in the Gyeongsang region, Republic of Korea. Then, we developed a non-destructive system to measure nutrient components using a Short-Wave Infrared (SWIR) Hyperspectral camera and Partial Least Squares Regression (PLSR). The PLSR models, each optimized with a specific preprocessing method, showed strong predictive accuracy: maximum normalization was used for MC (R
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