首页|New Machine Learning Research from Chinese Academy of Meteorological Sciences Di scussed (Rice Yield Estimation Using Machine Learning and Feature Selection in H illy and Mountainous Chongqing, China)
New Machine Learning Research from Chinese Academy of Meteorological Sciences Di scussed (Rice Yield Estimation Using Machine Learning and Feature Selection in H illy and Mountainous Chongqing, China)
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
A new study on artificial intelligence is now available. According to news reporting originating from Beijing, People' s Republic of China, by NewsRx correspondents, research stated, "To investigate effective techniques for estimating rice production in hilly and mountainous are as, in this study, we collected yield data at the field level, agro-meteorologic al data, and Sentinel-2/MSI remote sensing data in Chongqing, China, between 202 0 and 2023." Financial supporters for this research include Natural Science Foundation of Cho ngqing; Chongqing Meteorological Department Operational Technology Tackling Proj ect; Chongqing Meteorological Department Wisdom Meteorological Technology Innova tion Team Project.
NETL
NSTL
