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

The accessibility of open-source data on fresh food supply chains provides key stakeholders from the public and private sectors with insights for better decision-making to drive food loss reduction. Nigeria has a fair amount of open-source agricultural and climate-related data. However, most of thes...

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Detalles Bibliográficos
Autores principales: Odion, Divinefavour, Shoji, Kanaha, Evangelista, Roberta, Gajardo, Joaquin, Motmans, Thomas, Defraeye, Thijs, Onwude, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9945781/
https://www.ncbi.nlm.nih.gov/pubmed/36845370
http://dx.doi.org/10.1016/j.mex.2023.102047
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author Odion, Divinefavour
Shoji, Kanaha
Evangelista, Roberta
Gajardo, Joaquin
Motmans, Thomas
Defraeye, Thijs
Onwude, Daniel
author_facet Odion, Divinefavour
Shoji, Kanaha
Evangelista, Roberta
Gajardo, Joaquin
Motmans, Thomas
Defraeye, Thijs
Onwude, Daniel
author_sort Odion, Divinefavour
collection PubMed
description The accessibility of open-source data on fresh food supply chains provides key stakeholders from the public and private sectors with insights for better decision-making to drive food loss reduction. Nigeria has a fair amount of open-source agricultural and climate-related data. However, most of these datasets are not readily accessible. This paper presents a detailed method used to develop an interactive web Geographic Information System (GIS) tool that collates and visualizes available open-source datasets on Nigeria's Agricultural Sector with particular focus on the fresh produce supply chains. The following steps were used to create such an interactive map. • Open-source data were acquired in various forms, including tabular, vector, and rasters, processed and uploaded as layers on the interactive web map. • Most of the data needed some processing on open-source geographic information system applications and web-based computing platforms to transform them into sources of actionable insights; • These final processed layers were then uploaded to a consolidated interactive web map built on the Google Earth Engine platform. The gathered open-source data includes crop production data, market prices, weather, road network, market locations, mobile coverage, water access, water scarcity, and food insecurity. The method described here also allows the reproduction of such maps for other countries.
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spelling pubmed-99457812023-02-23 A GIS-based interactive map enabling data-driven decision-making in Nigeria's food supply chain Odion, Divinefavour Shoji, Kanaha Evangelista, Roberta Gajardo, Joaquin Motmans, Thomas Defraeye, Thijs Onwude, Daniel MethodsX Method Article The accessibility of open-source data on fresh food supply chains provides key stakeholders from the public and private sectors with insights for better decision-making to drive food loss reduction. Nigeria has a fair amount of open-source agricultural and climate-related data. However, most of these datasets are not readily accessible. This paper presents a detailed method used to develop an interactive web Geographic Information System (GIS) tool that collates and visualizes available open-source datasets on Nigeria's Agricultural Sector with particular focus on the fresh produce supply chains. The following steps were used to create such an interactive map. • Open-source data were acquired in various forms, including tabular, vector, and rasters, processed and uploaded as layers on the interactive web map. • Most of the data needed some processing on open-source geographic information system applications and web-based computing platforms to transform them into sources of actionable insights; • These final processed layers were then uploaded to a consolidated interactive web map built on the Google Earth Engine platform. The gathered open-source data includes crop production data, market prices, weather, road network, market locations, mobile coverage, water access, water scarcity, and food insecurity. The method described here also allows the reproduction of such maps for other countries. Elsevier 2023-02-01 /pmc/articles/PMC9945781/ /pubmed/36845370 http://dx.doi.org/10.1016/j.mex.2023.102047 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Method Article
Odion, Divinefavour
Shoji, Kanaha
Evangelista, Roberta
Gajardo, Joaquin
Motmans, Thomas
Defraeye, Thijs
Onwude, Daniel
A GIS-based interactive map enabling data-driven decision-making in Nigeria's food supply chain
title A GIS-based interactive map enabling data-driven decision-making in Nigeria's food supply chain
title_full A GIS-based interactive map enabling data-driven decision-making in Nigeria's food supply chain
title_fullStr A GIS-based interactive map enabling data-driven decision-making in Nigeria's food supply chain
title_full_unstemmed A GIS-based interactive map enabling data-driven decision-making in Nigeria's food supply chain
title_short A GIS-based interactive map enabling data-driven decision-making in Nigeria's food supply chain
title_sort gis-based interactive map enabling data-driven decision-making in nigeria's food supply chain
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9945781/
https://www.ncbi.nlm.nih.gov/pubmed/36845370
http://dx.doi.org/10.1016/j.mex.2023.102047
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