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Predicting pasture biomass using a statistical model and machine learning algorithm implemented with remotely sensed imagery

https://doi.org/10.1016/j.compag.2020.105880
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Dissimilatory nitrate reduction to ammonium (DNRA), not denitrification dominates nitrate reduction in subtropical pasture soils upon rewetting
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Random Forests
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Regular estimates of herbage mass can improve profitability of pasture-based dairy systems
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Plant-soluble carbohydrate reserves and senescence - key criteria for developing an effective grazing management system for ryegrass-based pastures: a review
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Supplement to the Article: Influence of spatial and temporal variability on the performance of machine learning-based pasture biomass prediction
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