首页|Research Data from Ningxia University Update Understanding of Machine Learning ( The Inversion of Arid-coastal Cultivated Soil Salinity Using Explainable Machine Learning and Sentinel-2)
Research Data from Ningxia University Update Understanding of Machine Learning ( The Inversion of Arid-coastal Cultivated Soil Salinity Using Explainable Machine Learning and Sentinel-2)
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 Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating from Yinchuan, People’s Republic of China, by NewsRx correspondents, researchstated, “The esca lating salinization of cultivated soil poses a significant threat to the ecologi cal environment.It is imperative to establish a monitoring system and mitigate the spread of salinization in aridand coastal areas through remote sensing, inc orporating high-precision cross-regional models for soil saltcontent inversion. ”
YinchuanPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningNingxia University