A GIS-based interactive map enabling data-driven decision-making in Nigeria's food supply chain

Author:

Odion DivinefavourORCID,Shoji Kanaha,Evangelista Roberta,Gajardo Joaquin,Motmans Thomas,Defraeye Thijs,Onwude DanielORCID

Publisher

Elsevier BV

Subject

Medical Laboratory Technology,Clinical Biochemistry

Reference24 articles.

1. “Nigeria at a Glance | FAO in Nigeria | Food and Agriculture Organization of the United Nations.” 2022. Accessed June 16, 2022. https://www.fao.org/nigeria/fao-in-nigeria/nigeria-at-a-glance/en/.FAO, Nigeria at a glance, Food Agric. Organ. (2022) 3–4 United Nations. https://www.fao.org/nigeria/fao-in-nigeria/nigeria-at-a-glance/en/.

2. “Nigeria Food Smart Country Diagnostic.” 2020. https://www.ipcc.ch/site/assets/uploads/2019/08/2f.-Chapter-5_.E. Cassou et al., “Nigeria food smart country diagnostic”, 2020.

3. “GRID3 Nigeria - State Boundaries | GRID3 Nigeria - State Boundaries | GRID3 Data Hub.” 2022. Accessed February 8, 2023. https://data.grid3.org/datasets/grid3-nigeria-state-boundaries/explore?location=9.046621%2C8.685290%2C6.84.

4. “Earth Engine Data Catalog | Google Developers.” n.d. Accessed February 8, 2023. https://developers.google.com/earth-engine/datasets.

5. “Welcome to the QGIS Project!” 2021. Accessed June 16, 2022. https://qgis.org/en/site/.

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