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Understanding Agricultural Output in Mozambique: Using remote sensing to initiate a discussion on development
Author:
Kelsee Bratley
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Alexis Meyer-Cirkel
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Series:
IMF Working Papers
Volume/Issue:
Volume 2025: Issue 009
Language:
English
Publication Date:
17 Jan 2025
DOI:
https://doi.org/10.5089/9798229000628.001
ISBN:
9798229000628
ISSN:
1018-5941
Pages:
32
Keywords:
Mozambique; agricultural development; remote sensing; greenrevolution; poverty alleviation; remote sensing technology; satellite imagery; accuracy assessment; agricultural land usage; area estimation; Agricultural sector; Agricultural commodities; Agricultural production; Food security; Global
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IMF Working Papers describe research in progress by the author(s) and are published to elicit comments and to encourage debate. The views expressed in IMF Working Papers are those of the author(s) and do not necessarily represent the views of the IMF, its Executive Board, or IMF management.
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This paper presents a comprehensive analysis of the agricultural land coverage in Mozambique by harnessing advanced remote sensing technologies and draws on successful agricultural development examples to propose strategic pathways for Mozambique. The study leverages Sentinel-2 satellite imagery coupled with a machine learning algorithm to accurately map and assess the country's agricultural land, revealing that agriculture accounts for only 12 percent of Mozambique's land area. By examining the agricultural transformation or “green revolution” that some countries have experienced, it is possible to distill regularities and necessary conditions, which can then be compared to the state-of-affairs in Mozambique. This study not only offers a model of how emerging technologies like remote sensing can inform agricultural state of affairs, it also provides important insights into which concrete bottlenecks are likely to be holding back Mozambique’s agricultural development.
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Cover IMF Working Papers
IMF Working Papers
ISSN:
1018-5941
Publisher:
International Monetary Fund