A framework of artificial light management for optimal plant development for smart greenhouse application.
Smart greenhouse farming has emerged as one of the solutions to global food security, where farming productivity can be managed and improved in an automated manner. While it is known that plant development is highly dependent on the quantity and quality of light exposure, the specific impact of the...
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| Language: | English |
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Public Library of Science (PLoS)
2021-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0261281&type=printable |
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| author | João Pereira Abdul Mounem Mouazen Mathias Foo Hafiz Ahmed |
| author_facet | João Pereira Abdul Mounem Mouazen Mathias Foo Hafiz Ahmed |
| author_sort | João Pereira |
| collection | DOAJ |
| description | Smart greenhouse farming has emerged as one of the solutions to global food security, where farming productivity can be managed and improved in an automated manner. While it is known that plant development is highly dependent on the quantity and quality of light exposure, the specific impact of the different light properties is yet to be fully understood. In this study, using the model plant Arabidopsis, we systematically investigate how six different light properties (i.e., photoperiod, light offset, intensity, phase of dawn, duration of twilight and period) would affect plant development i.e., flowering time and hypocotyl (seedling stem) elongation using an established mathematical model of the plant circadian system relating light input to flowering time and hypocotyl elongation outputs for smart greenhouse application. We vary each of the light properties individually and then collectively to understand their effect on plant development. Our analyses show in comparison to the nominal value, the photoperiod of 18 hours, period of 24 hours, no light offset, phase of dawn of 0 hour, duration of twilight of 0.05 hour and a reduced light intensity of 1% are able to improve by at least 30% in days to flower (from 32.52 days to 20.61 days) and hypocotyl length (from 1.90 mm to 1.19mm) with the added benefit of reducing energy consumption by at least 15% (from 4.27 MWh/year to 3.62 MWh/year). These findings could provide beneficial solutions to the smart greenhouse farming industries in terms of achieving enhanced productivity while consuming less energy. |
| format | Article |
| id | doaj-art-53e1e809a6394dcebe3bf231018249c8 |
| institution | DOAJ |
| issn | 1932-6203 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-53e1e809a6394dcebe3bf231018249c82025-08-20T02:55:20ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-011612e026128110.1371/journal.pone.0261281A framework of artificial light management for optimal plant development for smart greenhouse application.João PereiraAbdul Mounem MouazenMathias FooHafiz AhmedSmart greenhouse farming has emerged as one of the solutions to global food security, where farming productivity can be managed and improved in an automated manner. While it is known that plant development is highly dependent on the quantity and quality of light exposure, the specific impact of the different light properties is yet to be fully understood. In this study, using the model plant Arabidopsis, we systematically investigate how six different light properties (i.e., photoperiod, light offset, intensity, phase of dawn, duration of twilight and period) would affect plant development i.e., flowering time and hypocotyl (seedling stem) elongation using an established mathematical model of the plant circadian system relating light input to flowering time and hypocotyl elongation outputs for smart greenhouse application. We vary each of the light properties individually and then collectively to understand their effect on plant development. Our analyses show in comparison to the nominal value, the photoperiod of 18 hours, period of 24 hours, no light offset, phase of dawn of 0 hour, duration of twilight of 0.05 hour and a reduced light intensity of 1% are able to improve by at least 30% in days to flower (from 32.52 days to 20.61 days) and hypocotyl length (from 1.90 mm to 1.19mm) with the added benefit of reducing energy consumption by at least 15% (from 4.27 MWh/year to 3.62 MWh/year). These findings could provide beneficial solutions to the smart greenhouse farming industries in terms of achieving enhanced productivity while consuming less energy.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0261281&type=printable |
| spellingShingle | João Pereira Abdul Mounem Mouazen Mathias Foo Hafiz Ahmed A framework of artificial light management for optimal plant development for smart greenhouse application. PLoS ONE |
| title | A framework of artificial light management for optimal plant development for smart greenhouse application. |
| title_full | A framework of artificial light management for optimal plant development for smart greenhouse application. |
| title_fullStr | A framework of artificial light management for optimal plant development for smart greenhouse application. |
| title_full_unstemmed | A framework of artificial light management for optimal plant development for smart greenhouse application. |
| title_short | A framework of artificial light management for optimal plant development for smart greenhouse application. |
| title_sort | framework of artificial light management for optimal plant development for smart greenhouse application |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0261281&type=printable |
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