A MODEL FOR PLANT LIGHTING SYSTEM SELECTION
A decision model is presented that compares lighting systems for a plant growth scenario and chooses the most appropriate system from a given set of possible choices. The model utilizes a Multiple Attribute Utility Theory approach, and incorporates expert input and performance simulations to calcula...
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| Veröffentlicht in: | Transactions of the ASAE 2002, Vol.45 (1), p.215-221 |
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| container_end_page | 221 |
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| container_issue | 1 |
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| container_title | Transactions of the ASAE |
| container_volume | 45 |
| creator | Ciolkosz, D. E Albright, L. D Sager, J. C Langhans, R. W |
| description | A decision model is presented that compares lighting systems for a plant growth scenario and chooses the most appropriate system from a given set of possible choices. The model utilizes a Multiple Attribute Utility Theory approach, and incorporates expert input and performance simulations to calculate a utility value for each lighting system being considered. The system with the highest utility is deemed the most appropriate system. The model was applied to a greenhouse scenario, and analyses were conducted to test the model's output for validity. Parameter variation indicates that the model performed as expected. Analysis of model output indicates that differences in utility among the candidate lighting systems were sufficiently large to give confidence that the model's order of selection was valid. |
| doi_str_mv | 10.13031/2013.7873 |
| format | Article |
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C</creatorcontrib><creatorcontrib>Langhans, R. W</creatorcontrib><title>A MODEL FOR PLANT LIGHTING SYSTEM SELECTION</title><title>Transactions of the ASAE</title><addtitle>Trans ASAE</addtitle><description>A decision model is presented that compares lighting systems for a plant growth scenario and chooses the most appropriate system from a given set of possible choices. The model utilizes a Multiple Attribute Utility Theory approach, and incorporates expert input and performance simulations to calculate a utility value for each lighting system being considered. The system with the highest utility is deemed the most appropriate system. The model was applied to a greenhouse scenario, and analyses were conducted to test the model's output for validity. Parameter variation indicates that the model performed as expected. Analysis of model output indicates that differences in utility among the candidate lighting systems were sufficiently large to give confidence that the model's order of selection was valid.</description><subject>Agronomy. Soil science and plant productions</subject><subject>Biological and medical sciences</subject><subject>Decision Making, Computer-Assisted</subject><subject>Ecological Systems, Closed</subject><subject>Environment, Controlled</subject><subject>Evaluation Studies as Topic</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General agronomy. Plant production</subject><subject>greenhouses</subject><subject>Lactuca - growth & development</subject><subject>Lactuca - radiation effects</subject><subject>Life Support Systems - instrumentation</subject><subject>Light</subject><subject>lighting</subject><subject>Lighting - instrumentation</subject><subject>Man/System Technology And Life Support</subject><subject>Models, Biological</subject><subject>Plant Development</subject><subject>plant growth</subject><subject>Plants - radiation effects</subject><subject>Protected cultivation</subject><subject>Software</subject><subject>Soilless cultures. 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Protected cultivation</topic><topic>Systems Theory</topic><toplevel>online_resources</toplevel><creatorcontrib>Ciolkosz, D. E</creatorcontrib><creatorcontrib>Albright, L. D</creatorcontrib><creatorcontrib>Sager, J. C</creatorcontrib><creatorcontrib>Langhans, R. W</creatorcontrib><collection>AGRIS</collection><collection>NASA Scientific and Technical Information</collection><collection>NASA Technical Reports Server</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Transactions of the ASAE</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ciolkosz, D. E</au><au>Albright, L. D</au><au>Sager, J. C</au><au>Langhans, R. W</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A MODEL FOR PLANT LIGHTING SYSTEM SELECTION</atitle><jtitle>Transactions of the ASAE</jtitle><addtitle>Trans ASAE</addtitle><date>2002</date><risdate>2002</risdate><volume>45</volume><issue>1</issue><spage>215</spage><epage>221</epage><pages>215-221</pages><issn>0001-2351</issn><issn>2151-0059</issn><eissn>2151-0059</eissn><coden>TAAEAJ</coden><abstract>A decision model is presented that compares lighting systems for a plant growth scenario and chooses the most appropriate system from a given set of possible choices. The model utilizes a Multiple Attribute Utility Theory approach, and incorporates expert input and performance simulations to calculate a utility value for each lighting system being considered. The system with the highest utility is deemed the most appropriate system. The model was applied to a greenhouse scenario, and analyses were conducted to test the model's output for validity. 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| ispartof | Transactions of the ASAE, 2002, Vol.45 (1), p.215-221 |
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| source | MEDLINE; ASABE Technical Library; NASA Technical Reports Server |
| subjects | Agronomy. Soil science and plant productions Biological and medical sciences Decision Making, Computer-Assisted Ecological Systems, Closed Environment, Controlled Evaluation Studies as Topic Fundamental and applied biological sciences. Psychology General agronomy. Plant production greenhouses Lactuca - growth & development Lactuca - radiation effects Life Support Systems - instrumentation Light lighting Lighting - instrumentation Man/System Technology And Life Support Models, Biological Plant Development plant growth Plants - radiation effects Protected cultivation Software Soilless cultures. Protected cultivation Systems Theory |
| title | A MODEL FOR PLANT LIGHTING SYSTEM SELECTION |
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