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BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH CALSCALE:GREGORIAN PRODID:-//WordPress - MECv6.5.5//EN X-ORIGINAL-URL:https://oursymposium.sites.unlv.edu/ X-WR-CALNAME:Office of Undergraduate Research (OUR) Fall 2021 Virtual Undergraduate Research Symposium X-WR-CALDESC: REFRESH-INTERVAL;VALUE=DURATION:PT1H X-PUBLISHED-TTL:PT1H X-MS-OLK-FORCEINSPECTOROPEN:TRUE BEGIN:VEVENT CLASS:PUBLIC DTSTART;TZID=UTC:20211115T000000 DTEND;TZID=UTC:20211120T000000 DTSTAMP:20211028T000000 UID:MEC-9719a00ed0c5709d80dfef33795dcef3@oursymposium.sites.unlv.edu CREATED:20211028 LAST-MODIFIED:20211110 PRIORITY:5 TRANSP:OPAQUE SUMMARY:HNSE-P2-7. Drones for Monitoring and Early Disease Detection in Plants and Agriculture DESCRIPTION:\n\n\nArmaun Zargari1\nFaculty Mentor: Paul Oh, Ph.D.1\n1Howard R. Hughes College of Engineering, Department of Mechanical Engineering\nABSTRACT\nThe current procedures in place for monitoring crops and plant health are time consuming and labor intensive. It is crucial to diagnose areas of unhealthy vegetation quickly to limit the amount of permanent damage done as well as aiding in the planning for future planting locations. The entire process may be made more efficient with the utilization of drones that provide higher levels of accuracy, speed, and a larger field of view than traditional methods. These drones will be mounted with thermal and RGB cameras that will have the ability to spot irregularities in the wavelengths that are absorbed and reflected by the plants.\n URL:https://oursymposium.sites.unlv.edu/program/drones-for-monitoring-and-early-disease-detection-in-plants-and-agriculture/ ORGANIZER;CN=The Office of Undergraduate Research:MAILTO:our@unlv.edu CATEGORIES:Health & Natural Sciences & Engineering END:VEVENT END:VCALENDAR