首页|Research Results from China Agricultural University Update Understanding of Mach ine Learning (Using Machine Learning Methods Combined with Vegetation Indices an d Growth Indicators to Predict Seed Yield of * * Bromus inermis* *)
Research Results from China Agricultural University Update Understanding of Mach ine Learning (Using Machine Learning Methods Combined with Vegetation Indices an d Growth Indicators to Predict Seed Yield of * * Bromus inermis* *)
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 – Fresh data on artificial intelligence are presented in a new report. According tonews reporting out of Beijing, Peopl e’s Republic of China, by NewsRx editors, research stated, “Smoothbromegrass (* * Bromus inermis* * ) is a perennial, high-quality forage grass. However, its s eed yield isinfluenced by agronomic practices, climatic conditions, and the gro wing year.”
China Agricultural UniversityBeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learni ng
NETL
NSTL
