Extreme weather events could lead to variations in agricultural materials produced within the same field. This can complicate decision-making for growers. The deviations in nutritional contents of feed materials were investigated using standard techniques. Statistically significant differences (P < 0.05) were observed in the feed materials within and among factories. A line-scan hyperspectral imaging system was used to develop rapid and non-destructive global measurement models for smart decision-making with an accuracy of up to 86%. The models show potential for precision feeding leading to high productivity and the reduction in emissions from overfeeding and inefficiency.
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