Study Results from University of Campinas (UNICAMP) Provide New Insights into Ma chine Learning (Optimum Combination of Spectral Variables for Crop Mapping in He terogeneous Landscapes based on Sentinel-2 Time Series and Machine Learning)
Study Results from University of Campinas (UNICAMP) Provide New Insights into Ma chine Learning (Optimum Combination of Spectral Variables for Crop Mapping in He terogeneous Landscapes based on Sentinel-2 Time Series and Machine Learning)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New study results on artificial intell igence have been published. According to newsoriginating from the University of Campinas (UNICAMP) by NewsRx correspondents, research stated, “Thisarticle aim ed to determine a workflow for more efficient large-scale crop mapping using a t ime series ofimages from the Sentinel-2 Satellite, statistical methods of attri bute selection, and machine learning.”
Key words
University of Campinas (UNICAMP)/Cyborg s/Emerging Technologies/Machine Learning
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