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Updated: Feb 13, 2026

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
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Published on: October 24, 2025

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基于无人机的地理空间预测建模识别了秘鲁库斯科高地Fasciola hepatica感染风险

Bryan Fernandez-Camacho1, Antony Barja1, Luis C Revilla1

  • 1Health Innovation Laboratory, Institute of Tropical Medicine "Alexander Von Humboldt", Universidad Peruana Cayetano Heredia, Lima, Peru.

Infectious diseases of poverty
|February 12, 2026
PubMed
概括

无人机技术和机器学习准确地绘制了秘鲁安第斯山脉中Fascioliasis风险. 这些工具可以帮助针对农业社区中这个被忽视的传染病的控制工作.

关键词:
带 (Fasciolae) 是一个带.无人机成像 无人机成像地理空间建模的使用方法秘鲁 秘鲁 秘鲁 秘鲁 是一个预测 预测 预测

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