Food security and agricultural challenges in West-African rural communities: a machine learning analysis-Reference-Cited by-同舟云学术

Food security and agricultural challenges in West-African rural communities: a machine learning analysis

Published:2022-04-17 Issue:1 Volume:25 Page:827-844
ISSN:1094-2912
Container-title:International Journal of Food Properties
language:en
Short-container-title:International Journal of Food Properties

Author:

Ahn Jaehyun¹^ORCID,Briers Gary¹^ORCID,Baker Mathew¹^ORCID,Price Edwin²,Sohoulande Djebou Dagbegnon Clement³^ORCID,Strong Robert¹^ORCID,Piña Manuel¹,Kibriya Shahriar²

Affiliation:

1. Department of Agricultural Leadership, Education, and Communications, Texas A&M University, College Station, TX, USA

2. Department of Agricultural Economics, Texas A&M University, College Station, TX, USA

3. USDA-ARSCoastal Plain Soil, Water and Plant Research Center, Florence, SC, USA

Funder

United States Agency for International Development

Publisher

Informa UK Limited

Subject

Food Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/10942912.2022.2066124

Reference31 articles.

1. The State of the World's Children 2019

2. Food Security—A Commentary: What Is It and Why Is It So Complicated?

3. International Fund for Agricultural Development (IFAD). (2017). The Field Report. Rome, Italy: IFAD. https://ifad.org/thefieldreport Accessed 18 March 2020

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