Robotics & Machine Learning Daily News2024,Issue(Dec.4) :167-168.

New Machine Learning Study Findings Have Been Reported from Qujing Normal Univer sity (Diagnosis of Corn Leaf Diseases By Ftir Spectroscopy Combined With Machine Learning)

曲靖师范大学已报道了新的机器学习研究结果(Ftir光谱结合机器学习诊断玉米叶部病害)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :167-168.

New Machine Learning Study Findings Have Been Reported from Qujing Normal Univer sity (Diagnosis of Corn Leaf Diseases By Ftir Spectroscopy Combined With Machine Learning)

曲靖师范大学已报道了新的机器学习研究结果(Ftir光谱结合机器学习诊断玉米叶部病害)

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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-调查人员讨论机器学习的新发现。根据新闻报道来自中华人民共和国曲靖,由NewsRx记者报道,研究称:“玉米”是世界上最重要的作物之一,但它的产量和质量经常受到LE AF疾病的影响。因此,及时和准确地检测这些疾病至关重要。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingoriginating from Qujing, People’s Republic of China, by NewsRx correspondents, research stated, “Cornis among the world’s most vital crops, yet its yield and quality are often compromised by le af diseases.Timely and accurate detection of such diseases is thus crucial.”

Key words

Qujing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Qujing Normal University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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