首页|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)
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)
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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.”
University of Applied SciencesFreisingGermanyEuropeCyborgsEmerging TechnologiesMachine LearningRemote Sens ing
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