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* *)

Robotics & Machine Learning Daily News2024，Issue(Apr.4) ：104-105.

来源：

NETL
NSTL

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

Abstract

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.”

Key words

China Agricultural University/Beijing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learni ng

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航