在脆弱的缅甸，地理空间分析使禽鱼联合养殖场监测成为可能

Nature Food Pub Date : 2025-07-23 DOI:10.1038/s43016-025-01192-1

Ben Belton, Peixun Fang, Shuo Liu, Kaifeng Zhang, Xiaobo Zhang

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引用次数: 0

摘要

在脆弱的环境中衡量粮食安全具有挑战性。在这里，我们将以前的实地调查数据与遥感图像相结合，并应用深度学习技术来估计2010年至2023年缅甸仰光地区鸡鱼综合养殖场的鸡舍数量和面积以及鸡肉和鸡蛋供应的变化。从2010年到2020年，仰光的家禽业每年增长约10%，但从2020年到2023年，每年收缩约8%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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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 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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Nature Food

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