首页|Reports Summarize Machine Learning Study Results from University of Sassari [Integrating Uav Imagery and Machine Learning Via Geographic Object Based Image A nalysis (Geobia) for Enhanced Monitoring Of Yucca Gloriosa In ...]
Reports Summarize Machine Learning Study Results from University of Sassari [Integrating Uav Imagery and Machine Learning Via Geographic Object Based Image A nalysis (Geobia) for Enhanced Monitoring Of Yucca Gloriosa In ...]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating in Sassari, Ital y, by NewsRx journalists, research stated, "Effective monitoring andearly detec tion of invasive alien plant species (IAPs) are crucial for mitigating their spr ead and safeguardingnative habitats. Unmanned Aerial Vehicles (UAVs) offer a co st-efficient solution, providing high resolutionimages."Funders for this research include National Recovery and Resilience Plan (NRRP), Italian Ministry ofUniversity and Research - European Union - NextGenerationEU, Ministry of Education, Universities andResearch (MIUR).
SassariItalyEuropeCyborgsEmergin g TechnologiesMachine LearningUniversity of Sassari
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