Geospatial analysis enables combined poultry–fish farm monitoring in the fragile state of Myanmar
2025
Belton, Ben | Fang, Peixun | Liu, Shuo | Zhang, Kaifeng | Zhang, Xiaobo
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.
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书目信息
出版者
Springer
语言
英语
许可
Open Access, CC-BY-4.0
类型
Journal Article; Journal Part
来源
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
团体作者
United States Agency for International Development
Livelihoods and Food Security Fund, Myanmar
Federal Ministry for Economic Cooperation and Development, Germany
CGIAR Trust Fund
2025-09-02
2026-01-21
MODS