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Climate, altitude, yield, and varieties drive lodging in sugarcane: A random forest approach to predict risk levels on a tropical island
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Climate, altitude, yield, and varieties drive lodging in sugarcane: A random forest approach to predict risk levels on a tropical island

Mathias Christina, Benjamin Heuclin, Raphaël Pilloni, Mathilde Mellin, Laurent Barau, Jean-Yves Hoarau et Thomas Dumont
European Journal of Agronomy, Vol.161
11/2024

Résumé

Tropics Machine learning Yield Lodging Saccharum spp.

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