Geospatial analysis enables combined poultry–fish farm monitoring in the fragile state of Myanmar

Food security is challenging to measure in fragile contexts. Here we combine data from previous field surveys with remotely sensed images and apply deep-learning techniques to estimate changes in the number and area of chicken houses on integrated chicken–fish farms and the supply of chicken meat an...

Descripción completa

Detalles Bibliográficos
Autores principales: Belton, Ben, Fang, Peixun, Liu, Shuo, Zhang, Kaifeng, Zhang, Xiaobo
Formato: Journal Article
Lenguaje:Inglés
Publicado: Springer 2025
Materias:
Acceso en línea:https://hdl.handle.net/10568/175830
_version_ 1855542640720740352
author Belton, Ben
Fang, Peixun
Liu, Shuo
Zhang, Kaifeng
Zhang, Xiaobo
author_browse Belton, Ben
Fang, Peixun
Liu, Shuo
Zhang, Kaifeng
Zhang, Xiaobo
author_facet Belton, Ben
Fang, Peixun
Liu, Shuo
Zhang, Kaifeng
Zhang, Xiaobo
author_sort Belton, Ben
collection Repository of Agricultural Research Outputs (CGSpace)
description Food security is challenging to measure in fragile contexts. Here we combine data from previous field surveys with remotely sensed images and apply deep-learning techniques to estimate changes in the number and area of chicken houses on integrated chicken–fish farms and the supply of chicken meat and eggs from 2010 to 2023 in Yangon region, Myanmar. Yangon’s poultry sector grew ~10% annually from 2010 to 2020 but contracted ~8% annually from 2020 to 2023.
format Journal Article
id CGSpace175830
institution CGIAR Consortium
language Inglés
publishDate 2025
publishDateRange 2025
publishDateSort 2025
publisher Springer
publisherStr Springer
record_format dspace
spelling CGSpace1758302025-12-19T19:27:19Z Geospatial analysis enables combined poultry–fish farm monitoring in the fragile state of Myanmar Belton, Ben Fang, Peixun Liu, Shuo Zhang, Kaifeng Zhang, Xiaobo fish farms food security poultry farming spatial data fish culture fragility Food security is challenging to measure in fragile contexts. Here we combine data from previous field surveys with remotely sensed images and apply deep-learning techniques to estimate changes in the number and area of chicken houses on integrated chicken–fish farms and the supply of chicken meat and eggs from 2010 to 2023 in Yangon region, Myanmar. Yangon’s poultry sector grew ~10% annually from 2010 to 2020 but contracted ~8% annually from 2020 to 2023. 2025-07 2025-07-28T19:12:40Z 2025-07-28T19:12:40Z Journal Article https://hdl.handle.net/10568/175830 en Open Access Springer Belton, Ben; Fang, Peixun; Liu, Shuo; Zhang, Kaifeng; and Zhang, Xiaobo. 2025. Geospatial analysis enables combined poultry–fish farm monitoring in the fragile state of Myanmar. Nature Food 6(July 2025): 664-667. https://doi.org/10.1038/s43016-025-01192-1
spellingShingle fish farms
food security
poultry farming
spatial data
fish culture
fragility
Belton, Ben
Fang, Peixun
Liu, Shuo
Zhang, Kaifeng
Zhang, Xiaobo
Geospatial analysis enables combined poultry–fish farm monitoring in the fragile state of Myanmar
title Geospatial analysis enables combined poultry–fish farm monitoring in the fragile state of Myanmar
title_full Geospatial analysis enables combined poultry–fish farm monitoring in the fragile state of Myanmar
title_fullStr Geospatial analysis enables combined poultry–fish farm monitoring in the fragile state of Myanmar
title_full_unstemmed Geospatial analysis enables combined poultry–fish farm monitoring in the fragile state of Myanmar
title_short Geospatial analysis enables combined poultry–fish farm monitoring in the fragile state of Myanmar
title_sort geospatial analysis enables combined poultry fish farm monitoring in the fragile state of myanmar
topic fish farms
food security
poultry farming
spatial data
fish culture
fragility
url https://hdl.handle.net/10568/175830
work_keys_str_mv AT beltonben geospatialanalysisenablescombinedpoultryfishfarmmonitoringinthefragilestateofmyanmar
AT fangpeixun geospatialanalysisenablescombinedpoultryfishfarmmonitoringinthefragilestateofmyanmar
AT liushuo geospatialanalysisenablescombinedpoultryfishfarmmonitoringinthefragilestateofmyanmar
AT zhangkaifeng geospatialanalysisenablescombinedpoultryfishfarmmonitoringinthefragilestateofmyanmar
AT zhangxiaobo geospatialanalysisenablescombinedpoultryfishfarmmonitoringinthefragilestateofmyanmar