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Development and Implementation of an IoT-Enabled Optimal and Predictive Lighting Control Strategy in...

Development and Implementation of an IoT-Enabled Optimal and Predictive Lighting Control Strategy in...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6effde54729849a78ce2e3a06d9c7cea

Development and Implementation of an IoT-Enabled Optimal and Predictive Lighting Control Strategy in Greenhouses

About this item

Full title

Development and Implementation of an IoT-Enabled Optimal and Predictive Lighting Control Strategy in Greenhouses

Publisher

Switzerland: MDPI AG

Journal title

Plants (Basel), 2021-12, Vol.10 (12), p.2652

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Global population growth has increased food production challenges and pushed agricultural systems to deploy the Internet of Things (IoT) instead of using conventional approaches. Controlling the environmental parameters, including light, in greenhouses increases the crop yield; nonetheless, the electricity cost of supplemental lighting can be high,...

Alternative Titles

Full title

Development and Implementation of an IoT-Enabled Optimal and Predictive Lighting Control Strategy in Greenhouses

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6effde54729849a78ce2e3a06d9c7cea

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6effde54729849a78ce2e3a06d9c7cea

Other Identifiers

ISSN

2223-7747

E-ISSN

2223-7747

DOI

10.3390/plants10122652

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