首页|Findings on Machine Learning Reported by Investigators at University of Alberta (Early Detection of Bark Beetle Attack Using Remote Sensing and Machine Learning : a Review)
Findings on Machine Learning Reported by Investigators at University of Alberta (Early Detection of Bark Beetle Attack Using Remote Sensing and Machine Learning : a Review)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting out of Edmonton, Canada, by N ewsRx editors, research stated, "Bark beetle outbreaks can have serious conseque nces on forest ecosystem processes, biodiversity, forest structure and function, and economies. Thus, accurate and timely detection of bark beetle infestations in the early stage (known as green-attack detection) is crucial to mitigate the further impact, develop proactive forest management activities, and minimize eco nomic losses."
EdmontonCanadaNorth and Central Amer icaCyborgsEmerging TechnologiesMachine LearningRemote SensingUniversit y of Alberta
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