Robotics & Machine Learning Daily News2024,Issue(Nov.29) :59-60.

Findings in Machine Learning Reported from Harbin Normal University (Study On th e Ec Prediction of Cracked Soda Saline-alkali Soil Based On Texture Analysis of High-resolution Images From Ground-based Observation and Machine Learning Method s)

哈尔滨师范大学机器学习研究报告(基于地面观测高分辨率图像纹理分析和机器学习方法的苏打盐碱土裂解预测研究)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :59-60.

Findings in Machine Learning Reported from Harbin Normal University (Study On th e Ec Prediction of Cracked Soda Saline-alkali Soil Based On Texture Analysis of High-resolution Images From Ground-based Observation and Machine Learning Method s)

哈尔滨师范大学机器学习研究报告(基于地面观测高分辨率图像纹理分析和机器学习方法的苏打盐碱土裂解预测研究)

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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-调查人员发布马学习的新报告。根据消息来源在中华人民共和国哈尔滨,由NewsRx记者报道,研究表明:“快速和快速的准确测定土壤盐分是评价土壤盐渍化程度的关键。自然地粘性苏打盐碱土在条件下,表面出现收缩开裂现象在水蒸发期间。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news originatingfrom Harbin, People’s Republic of China, by NewsRx correspondents, research stated, “The rapid andaccurate measur ement of soil salinity is essential for assessing the level of soil salinization . In naturalconditions, the surface of cohesive soda saline-alkali soil experie nces shrinkage and cracking phenomenaduring water evaporation.”

Key words

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

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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