首页|University of Sydney Researcher Details Research in Machine Learning@@(Highly Eff icient JR Optimization Technique for Solving Prediction@@Problem of Soil Organic Carbon on Large Scale)
University of Sydney Researcher Details Research in Machine Learning@@(Highly Eff icient JR Optimization Technique for Solving Prediction@@Problem of Soil Organic Carbon on Large Scale)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on artificial intelligence is the su bject of a new report. According to news originatingfrom Sydney, Australia, by NewsRx correspondents, research stated, “We utilized remote sensing andground c over data to predict soil organic carbon (SOC) content across a vast geographic region. Employinga combination of machine learning and deep learning techniques , we developed a novel data fusion approachthat integrated Digital Elevation Mo del (DEM) data, MODIS satellite imagery, WOSIS soil profile data,and CHELSA env ironmental data.”
University of SydneySydneyAustraliaAustralia and New ZealandAlgorithmsCyborgsEmerging TechnologiesMachine LearningRemote Sensing
NETL
NSTL
