IoT and Ensemble Long-Short-Term-Memory-Based Evapotranspiration Forecasting for Riyadh
IoT and Ensemble Long-Short-Term-Memory-Based Evapotranspiration Forecasting for Riyadh
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Evapotranspiration (ET) is the fundamental component of efficient water resource management. Accurate forecasting of ET is essential for efficient water utilization in agriculture. ET forecasting is a complex process due to the requirements of large meteorological variables. The recommended approach is based on the Internet of Things (IoT) and an e...
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Full title
IoT and Ensemble Long-Short-Term-Memory-Based Evapotranspiration Forecasting for Riyadh
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TN_cdi_doaj_primary_oai_doaj_org_article_bd6974b120d245f3bae003719491f8e8
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bd6974b120d245f3bae003719491f8e8
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s23177583
