Improving Greenhouse Irrigation Through A Sensor-Based Decision Support System

dc.contributor.advisorYoubin, Zheng
dc.contributor.authorHenderson, Scott
dc.date.accessioned2017-12-21T21:25:58Z
dc.date.available2017-12-21T21:25:58Z
dc.date.copyright2017-12
dc.date.created2017-12-14
dc.date.issued2017-12-21
dc.degree.departmentSchool of Environmental Sciencesen_US
dc.degree.grantorUniversity of Guelphen_US
dc.degree.nameMaster of Scienceen_US
dc.degree.programmeEnvironmental Sciencesen_US
dc.description.abstractTo automate greenhouse irrigation, microclimate variations of the greenhouse environment and plant water requirements must be understood. Variation in greenhouse microclimate was monitored and quantified using pan evaporation (Bosman, 1990). The growing substrate volumetric water content (VWC) and growth performance of two crops, basil (Ocimum basilicum 'Genovese Gigante') and bellflower (Campanula portenschlagiana ‘Get Mee’), were monitored. The variation was not significantly related to growth performance, indicating plants can tolerate a range of growing substrate VWC for acceptable growth performance. Thresholds of 0.25 m3·m-3 for basil and 0.15 m3·m-3 for bellflower were determined to be the optimal growing substrate VWC at which irrigation should occur. A decision support system (DSS) was designed to control irrigation of a crop of bellflower at a commercial greenhouse, alongside the grower’s crop. At the end of the production cycle, the plants managed by the DSS the same quality as those managed by the commercial grower.en_US
dc.identifier.urihttp://hdl.handle.net/10214/12117
dc.language.isoenen_US
dc.publisherUniversity of Guelphen_US
dc.rights.licenseAll items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated.
dc.subjectEnvironmental Scienceen_US
dc.subjectAutomationen_US
dc.subjectGreenhouseen_US
dc.subjectIrrigationen_US
dc.subjectOrnamental productionen_US
dc.subjectVegetable productionen_US
dc.subjectGreenhouse managementen_US
dc.titleImproving Greenhouse Irrigation Through A Sensor-Based Decision Support Systemen_US
dc.typeThesisen_US

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