首页|New Research on Machine Learning from University of Hormozgan Summarized (Integr ated Modeling of Soil Erosion by Water and Wind Using Machine Learning Methods)
New Research on Machine Learning from University of Hormozgan Summarized (Integr ated Modeling of Soil Erosion by Water and Wind Using Machine Learning Methods)
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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 originating fromthe University of Hormozga n by NewsRx correspondents, research stated, “Introduction and objectiveSoilero sion by water and wind is one of the biggest environmental threats worldwide whi ch it has variousnegative consequences such as soil degradation, mitigation of soil fertility, depletion of nutrients andmicro-elements, degradation of soil s tructure, dust storms, reservoir siltation, and etc. on the natural andanthropo genic ecosystems. Therefore, accurate information of land susceptibility to soil erosion hazardby water and wind, and production of spatial maps of these hazar ds are necessary for mitigation of theirconsequences.”
University of HormozganCyborgsEmergi ng TechnologiesMachine Learning
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