Repository logo
 

Development and Evaluation of a Radar System for Ground Surface Detection in Wild Blueberry Fields

dc.contributor.authorSaad, Muhammad
dc.contributor.copyright-releaseNot Applicableen_US
dc.contributor.degreeMaster of Scienceen_US
dc.contributor.departmentFaculty of Agricultureen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.external-examinern/aen_US
dc.contributor.graduate-coordinatorDr. Gordon Priceen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.thesis-readerDr. Arnold Schumannen_US
dc.contributor.thesis-readerDr. Aitazaz Faroqueen_US
dc.contributor.thesis-supervisorDr. Qamar Zamanen_US
dc.contributor.thesis-supervisorDr. Travis Esauen_US
dc.date.accessioned2021-04-27T13:55:18Z
dc.date.available2021-04-27T13:55:18Z
dc.date.defence2021-04-21
dc.date.issued2021-04-27T13:55:18Z
dc.description.abstractMechanical wild blueberry harvest efficiency depends heavily on operator skill. The harvesting picking reel requires accurate and precise positioning based on fruit zone, field topography and foreign obstacles. Spatially variable topography in wild blueberry fields poses a serious challenge for the operators to maintain the optimum head height for efficient harvester operation. In this research study, the potential of microwave radar technology was examined for detecting and measuring the ground surface height in wild blueberry fields by comparing the performance of three selected radars. Results indicated that the Terrahawk® radar outperformed other selected radars (0.21 cm < SD < 1.12 cm, 4.45 cm < RMSE < 5.62 cm) and successfully detected the ground surface non-destructively within wild blueberry fields in dynamic and standstill conditions (R-sq > 0.92). The developed ground surface detection system exhibited great potential in the automation of harvester picking reel by utilizing real-time ground surface detection.en_US
dc.identifier.urihttp://hdl.handle.net/10222/80427
dc.language.isoenen_US
dc.subjectPrecision Agricultureen_US
dc.subjectMechanized Systemsen_US
dc.subjectGround Surface Detectionen_US
dc.subjectMicrowave Radaren_US
dc.subjectHarvester Head Automationen_US
dc.titleDevelopment and Evaluation of a Radar System for Ground Surface Detection in Wild Blueberry Fieldsen_US
dc.typeThesisen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
MuhammadSaad2021.pdf
Size:
6.68 MB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: