Statistics from Space: Next-Generation Agriculture Production Information for Enhanced Monitoring of Food Security in Mozambique - Enumerators training report

The Statistics from Space project (SFS) seeks to support the Government of Mozambique to produce and disseminate accurate crop production statistical data leveraging satellite remote-sensing data and artificial intelligence augmented analytics. The project, funded by the Government of the Republic o...

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Autor principal: Centre of Excellence in Agri-Food Systems and Nutrition
Formato: Informe técnico
Lenguaje:Inglés
Publicado: International Food Policy Research Institute 2025
Materias:
Acceso en línea:https://hdl.handle.net/10568/178004
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author Centre of Excellence in Agri-Food Systems and Nutrition
author_browse Centre of Excellence in Agri-Food Systems and Nutrition
author_facet Centre of Excellence in Agri-Food Systems and Nutrition
author_sort Centre of Excellence in Agri-Food Systems and Nutrition
collection Repository of Agricultural Research Outputs (CGSpace)
description The Statistics from Space project (SFS) seeks to support the Government of Mozambique to produce and disseminate accurate crop production statistical data leveraging satellite remote-sensing data and artificial intelligence augmented analytics. The project, funded by the Government of the Republic of Korea (Ministry of Agriculture, Food and Rural Affairs; MAFRA), aims to provide the Mozambican Ministry of Agriculture and Rural Development with production estimates of major crops across three provinces namely Gaza, Manica and Nampula in a sufficiently timely manner so that all market participants can use the information for decision-making. SFS is a three years project and has four main components: (1) Stakeholders engagement for impacts, led by International Food Policy Research Institute (IFPRI); (2) Enhanced area sampling frame led by ITC/University of Twente; (3) Digital collection of groundtruthing data, led by Centre of Excellence in Agri-Food Systems and Nutrition (CE-AFSN) at Eduardo Mondlane University; and (4) Analytical framework, led by Seoul National University (SNU). This Report is part of component 3 of the SFS project and has an overall objective to depict the activities carried out during the enumerators training that took place in Maputo, Manica and Zambezia provinces as the prior phase for the field data collection process in Gaza, Manica and Zambezia provinces.
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publisherStr International Food Policy Research Institute
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spelling CGSpace1780042025-11-19T02:16:59Z Statistics from Space: Next-Generation Agriculture Production Information for Enhanced Monitoring of Food Security in Mozambique - Enumerators training report Centre of Excellence in Agri-Food Systems and Nutrition capacity building training programmes data The Statistics from Space project (SFS) seeks to support the Government of Mozambique to produce and disseminate accurate crop production statistical data leveraging satellite remote-sensing data and artificial intelligence augmented analytics. The project, funded by the Government of the Republic of Korea (Ministry of Agriculture, Food and Rural Affairs; MAFRA), aims to provide the Mozambican Ministry of Agriculture and Rural Development with production estimates of major crops across three provinces namely Gaza, Manica and Nampula in a sufficiently timely manner so that all market participants can use the information for decision-making. SFS is a three years project and has four main components: (1) Stakeholders engagement for impacts, led by International Food Policy Research Institute (IFPRI); (2) Enhanced area sampling frame led by ITC/University of Twente; (3) Digital collection of groundtruthing data, led by Centre of Excellence in Agri-Food Systems and Nutrition (CE-AFSN) at Eduardo Mondlane University; and (4) Analytical framework, led by Seoul National University (SNU). This Report is part of component 3 of the SFS project and has an overall objective to depict the activities carried out during the enumerators training that took place in Maputo, Manica and Zambezia provinces as the prior phase for the field data collection process in Gaza, Manica and Zambezia provinces. 2025-11-18 2025-11-18T18:35:08Z 2025-11-18T18:35:08Z Report https://hdl.handle.net/10568/178004 en Open Access application/pdf International Food Policy Research Institute Centre of Excellence in Agri-Food Systems and Nutrition. 2025. Statistics from Space: Next-Generation Agriculture Production Information for Enhanced Monitoring of Food Security in Mozambique - Enumerators training report. Washington, DC: International Food Policy Research Institute. https://hdl.handle.net/10568/178004
spellingShingle capacity building
training programmes
data
Centre of Excellence in Agri-Food Systems and Nutrition
Statistics from Space: Next-Generation Agriculture Production Information for Enhanced Monitoring of Food Security in Mozambique - Enumerators training report
title Statistics from Space: Next-Generation Agriculture Production Information for Enhanced Monitoring of Food Security in Mozambique - Enumerators training report
title_full Statistics from Space: Next-Generation Agriculture Production Information for Enhanced Monitoring of Food Security in Mozambique - Enumerators training report
title_fullStr Statistics from Space: Next-Generation Agriculture Production Information for Enhanced Monitoring of Food Security in Mozambique - Enumerators training report
title_full_unstemmed Statistics from Space: Next-Generation Agriculture Production Information for Enhanced Monitoring of Food Security in Mozambique - Enumerators training report
title_short Statistics from Space: Next-Generation Agriculture Production Information for Enhanced Monitoring of Food Security in Mozambique - Enumerators training report
title_sort statistics from space next generation agriculture production information for enhanced monitoring of food security in mozambique enumerators training report
topic capacity building
training programmes
data
url https://hdl.handle.net/10568/178004
work_keys_str_mv AT centreofexcellenceinagrifoodsystemsandnutrition statisticsfromspacenextgenerationagricultureproductioninformationforenhancedmonitoringoffoodsecurityinmozambiqueenumeratorstrainingreport