Detecting the linkage between arable land use and poverty using machine learning methods at global perspective

Detecting the linkage between arable land use and poverty using machine learning methods at global perspective

Eradicating extreme poverty is one of the UN's primary sustainable development goals (SDG). Arable land is related to eradicating poverty (SDG1) and hunger (SDG2). However, the linkage between arable land use and poverty reduction is ambiguous and has seldom been investigated globally. Six indi...

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Bibliographic Details
Main Authors: Fuyou Tian, Bingfang Wu, Hongwei Zeng, Gary R Watmough, Miao Zhang, Yurui Li
Format: Article
Language:English
Published: Elsevier 2022-03-01
Series:Geography and Sustainability
Subjects:
Arable land use
Poverty
Machine learning
Yield gap
Random forest
Online Access:http://www.sciencedirect.com/science/article/pii/S2666683922000086

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http://www.sciencedirect.com/science/article/pii/S2666683922000086

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