相关实验视频

Updated: Jan 13, 2026

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

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城市树木健康和生态系统服务的轻量级多式融合

Abror Buriboev1, Djamshid Sultanov2, Ilhom Rahmatullaev3,4

  • 1Department of AI-Software, Gachon University, Sujeong-Gu, Seongnam-si 13120, Republic of Korea.

Sensors (Basel, Switzerland)
|January 10, 2026
PubMed
概括

本研究引入了一种轻量级的深度学习模型,用于实时评估城市树木健康状况. 该框架准确地监测树木的状况,并使用化传感器数据估计氧气和二氧化碳的交换.

关键词:
碳封存估计的估计.边缘高效的人工智能环境情报环境情报图像 传感器集成多任务神经网络多任务神经网络多式联络融合多式联络融合氧气生产建模模型监测树木健康状况 监测树木健康状况城市生态学 城市生态学

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