Robotics & Machine Learning Daily News2024,Issue(Jun.18) :17-17.

Istanbul Technical University Researchers Have Provided New Data on Machine Lear ning (Assessment of soil salinity using explainable machine learning methods and Landsat 8 images)

伊斯坦布尔技术大学的研究人员提供了机器学习(使用可解释的机器学习方法和陆地卫星8号图像评估土壤盐分)的新数据

Robotics & Machine Learning Daily News2024,Issue(Jun.18) :17-17.

Istanbul Technical University Researchers Have Provided New Data on Machine Lear ning (Assessment of soil salinity using explainable machine learning methods and Landsat 8 images)

伊斯坦布尔技术大学的研究人员提供了机器学习(使用可解释的机器学习方法和陆地卫星8号图像评估土壤盐分)的新数据

扫码查看

摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑-每日新闻-调查人员发布了关于人工智能的新报告。根据土耳其伊斯坦布尔的新闻报道,N ewsRx编辑称,“这项研究的目的是比较分析机器学习(ML)算法在土壤盐碱化建模中的性能,该算法使用基于现场的电导率(EC)数据和Landsat-8 OLI卫星e图像,以及导出的环境协变量。”这项研究的财政支持者包括德国研究基金会;Istan Bul技术大学。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ar tificial intelligence. According to news reporting out of Istanbul, Turkey, by N ewsRx editors, research stated, "The aim of this study is to comparatively analy ze the performance of machine learning (ML) algorithms for modeling soil salinit y using fieldbased electrical conductivity (EC) data and Landsat-8 OLI satellit e images with derived environmental covariates." Financial supporters for this research include German Research Foundation; Istan bul Technical University.

Key words

Istanbul Technical University/Istanbul/Turkey/Eurasia/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