Robotics & Machine Learning Daily News2024,Issue(Dec.6) :108-109.

Data from University of Applied Sciences Broaden Understanding of Machine Learni ng (Species-specific machine learning models for UAV-based forest health monitor ing: Revealing the importance of the BNDVI)

应用科学大学的数据扩大了对机器学习的理解(基于无人机的森林健康监测的特定物种机器学习模型:揭示BNDVI的重要性)

Robotics & Machine Learning Daily News2024,Issue(Dec.6) :108-109.

Data from University of Applied Sciences Broaden Understanding of Machine Learni ng (Species-specific machine learning models for UAV-based forest health monitor ing: Revealing the importance of the BNDVI)

应用科学大学的数据扩大了对机器学习的理解(基于无人机的森林健康监测的特定物种机器学习模型:揭示BNDVI的重要性)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员讨论人工智能的新发现。据来自德国弗里辛的新闻报道,BY NewsRx的记者称,“探索远程通信的能力”识别树木对环境压力响应的传感技术是至关重要的理解、管理和维护富有成效、健康和有弹性的堡垒。在近几十年来,国内外对食品健康监测的研究主要集中在获取的数据上远程,无论是从卫星还是载人飞机。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in artificial intelligence. According to news originating from Freising, Germany, b y NewsRx correspondents, research stated, “Exploring the capabilities of remotesensing technologies for identifying stress responses in trees due to environmen tal pressures is crucial forcomprehension, management, and maintenance of fores ts that are productive, healthy, and resilient. Inrecent decades, research on f orest health monitoring has been predominantly focused on data obtainedremotely , either from satellites or crewed aircraft.”

Key words

University of Applied Sciences/Freising/Germany/Europe/Cyborgs/Emerging Technologies/Machine Learning/Remote Sens ing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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