首页|University of Evora Researcher Describes New Findings in Machine Learning (Moist ure Content Vegetation Seasonal Variability Based on a Multiscale Remote Sensing Approach)
University of Evora Researcher Describes New Findings in Machine Learning (Moist ure Content Vegetation Seasonal Variability Based on a Multiscale Remote Sensing Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on artificial intelligence is now available. According to news reportingfrom the University of Evora by N ewsRx journalists, research stated, “Water content is one of the most critical c haracteristics in plant physiological development. Therefore, this information i s a crucial factorin determining the water stress conditions of vegetation, whi ch is essential for assessing the wildfire riskand land management decision-mak ing.”
University of EvoraCyborgsEmerging T echnologiesMachine LearningRemote Sensing
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