Deep Learning Based Prediction on Greenhouse Crop Yield Combined TCN and RNN
Deep Learning Based Prediction on Greenhouse Crop Yield Combined TCN and RNN
About this item
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Author / Creator
Publisher
MDPI
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Language
English
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MDPI
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Contents
Currently, greenhouses are widely applied for plant growth, and environmental parameters can also be controlled in the modern greenhouse to guarantee the maximum crop yield. In order to optimally control greenhouses’ environmental parameters, one indispensable requirement is to accurately predict crop yields based on given environmental parameter s...
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Full title
Deep Learning Based Prediction on Greenhouse Crop Yield Combined TCN and RNN
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Author / Creator
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TN_cdi_doaj_primary_oai_doaj_org_article_70bf134f832544d4a8db4ec19eff8283
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_70bf134f832544d4a8db4ec19eff8283
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s21134537
