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.
显示更多 [+] 显示较少 [-]AGROVOC关键词
书目信息
出版者
Springer
语言
英语
许可
Open Access
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
2025-09-02
2025-11-19
Dublin Core
在Google Scholar上查找
如果您发现与此记录相关的任何错误信息，请联系 [email protected]