Robotics & Machine Learning Daily News2024,Issue(Nov.26) :60-60.

Study Findings on Machine Learning Published by a Researcher at School of Engine ering (Rapid Classification of Sugarcane Nodes and Internodes Using Near-Infrare d Spectroscopy and Machine Learning Techniques)

Engine Eering学院(利用近红外光谱和机器学习技术快速分类甘蔗节间)的一位研究员发表的机器学习研究结果

Robotics & Machine Learning Daily News2024,Issue(Nov.26) :60-60.

Study Findings on Machine Learning Published by a Researcher at School of Engine ering (Rapid Classification of Sugarcane Nodes and Internodes Using Near-Infrare d Spectroscopy and Machine Learning Techniques)

Engine Eering学院(利用近红外光谱和机器学习技术快速分类甘蔗节间)的一位研究员发表的机器学习研究结果

扫码查看

摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于人工智能的研究结果在一份新的报告中讨论。根据对于NewsRx记者从泰国曼谷进行的新闻报道,研究表明,“准确和迅速”区分甘蔗的节间和节间对于自动化种植过程至关重要,尤其有利于减少芽害,优化栽培材料质量。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. Accordingto news reporting from Bangkok, Thailand, by NewsRx journalists, research stated, “Accurate and rapiddiscrimina tion between nodes and internodes in sugarcane is vital for automating planting processes,particularly for minimizing bud damage and optimizing planting materi al quality.”

Key words

School of Engineering/Bangkok/Thailand/Asia/Cyborgs/Emerging Technologies/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文