An explainable predictive approach for investigation of greenhouse gas emissions in maritime canada's potato agriculture

This study aims to develop an optimized expert system that effectively models and predicts greenhouse gas (GHG) emissions from potato crops, integrating experimental data and advanced computational methods. This research seeks to significantly contribute to mitigating climate change impacts and impr...

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Detalhes bibliográficos

Principais autores:	Mehdi Jamei, Nauman Yaqoob, Aitazaz A. Farooque, Mumtaz Ali, Anurag Malik, Travis J. Esau, Yulin Hu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-03-01
coleção:	Smart Agricultural Technology
Assuntos:	Greenhouse gas emission Potato cropping system GBO algorithm K-nearest neighbor Extra trees BSET-WASPAS
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2772375524003137
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