地理空间分析有助于在缅甸这个脆弱国家对家禽养殖场和鱼类养殖场进行联合监测。
Geospatial analysis enables combined poultry-fish farm monitoring in the fragile state of Myanmar.
作者信息
Belton Ben, Fang Peixun, Liu Shuo, Zhang Kaifeng, Zhang Xiaobo
机构信息
International Food Policy Research Institute, Dhaka, Bangladesh.
Michigan State University, East Lansing, MI, USA.
出版信息
Nat Food. 2025 Jul;6(7):664-667. doi: 10.1038/s43016-025-01192-1. Epub 2025 Jul 23.
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.
在脆弱环境中，粮食安全状况难以衡量。在此，我们将以往实地调查的数据与遥感图像相结合，并应用深度学习技术，以估算2010年至2023年缅甸仰光地区综合养鸡场的鸡舍数量和面积变化，以及鸡肉和鸡蛋的供应情况。2010年至2020年，仰光的家禽业每年增长约10%，但在2020年至2023年期间，每年约收缩8%。
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