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Comparative analysis of machine learning and novel deep learning models for IoT enabled smart irrigation water management system

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Published in:Discover Internet of Things
Format: Online Article RSS Article
Published: 2026
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container_title Discover Internet of Things
description
discipline_display Social Sciences
discipline_facet Social Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:22339
institution FRELIP
journal_source_facet Discover Internet of Things
publishDate 2026
publishDateSort 2026
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spellingShingle Comparative analysis of machine learning and novel deep learning models for IoT enabled smart irrigation water management system
— — — — — Social Web
Psychology
Social Sciences
sub_discipline_display Psychology
sub_discipline_facet Psychology
subject_display — — — — — Social Web
Psychology
Social Sciences
— — — — — Social Web
Psychology
Social Sciences
subject_facet — — — — — Social Web
Psychology
Social Sciences
title Comparative analysis of machine learning and novel deep learning models for IoT enabled smart irrigation water management system
title_auth Comparative analysis of machine learning and novel deep learning models for IoT enabled smart irrigation water management system
title_full Comparative analysis of machine learning and novel deep learning models for IoT enabled smart irrigation water management system
title_fullStr Comparative analysis of machine learning and novel deep learning models for IoT enabled smart irrigation water management system
title_full_unstemmed Comparative analysis of machine learning and novel deep learning models for IoT enabled smart irrigation water management system
title_short Comparative analysis of machine learning and novel deep learning models for IoT enabled smart irrigation water management system
title_sort comparative analysis of machine learning and novel deep learning models for iot enabled smart irrigation water management system
topic — — — — — Social Web
Psychology
Social Sciences
url https://link.springer.com/article/10.1007/s43926-026-00324-8