Machine learning estimators for the quantity and quality of grass swards used for silage production using drone-based imaging spectrometry and photogrammetry
Machine learning estimators for the quantity and quality of grass swards used for silage production using drone-based imaging spectrometry and photogrammetry
Authors
Keywords
Hyperspectral, Drone, Photogrammetry, Precise agriculture, Grass sward, Biomass, Digestibility, Nitrogen, Neutral detergent fibre, Machine learning, Random forest, Multiple linear regression
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