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Examining the role of agroecology in food security prediction: evidence from Burkina Faso using machine learning methods

Abstract Background Food insecurity affects a large proportion of the world's population, with enormous disparities to the disadvantage of low-income countries, especially those in sub-Saharan Africa. In this context, public decision-makers, funders, and NGOs urgently need streamlined indicators on...

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Huvudupphov: Theodore Nikiema, Pamela Giselle Katic, Sylvain Kpenavoun Chogou, Eugene C. Ezin
Materialtyp: Artigo
Språk:Inglês
Utgiven: BMC 2026-02-01
Serie:Agriculture & Food Security
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Länkar:https://doi.org/10.1186/s40066-025-00572-x
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