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komimensah/Ecological-constraints-into-machine-learning-to-corrects-bias-and-improves-ecological-gradients-: Ecological constraints into machine learning

Domaine:

agricultureenvironment and energy

Type de record:

softwaredataset
Créateur:
KOM
Éditeur:
Zenodo
Hôte:avatar
Here, we propose a hybrid approach that embeds a temperature-driven mechanistic suitability index into XGBoost through biologically informed sample weighting and apply it to desert locust (Schistocerca gregaria) occurrence in the Red Sea region of Sudan

Visit

doi.org

Licenses

info:eu-repo/semantics/openAccessMIT Licensehttps://opensource.org/licenses/MIT

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