Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/26435
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dc.contributor.authorKhalid, Mohammed Babiker Takona-
dc.contributor.authorAbbas, Mahasin Mohammed El-Mubark Ahmed-
dc.contributor.authorMohammed, Mohammed Esam El-deenMahjoub-
dc.contributor.authorAhmed, Salah Amin Salah Mohammed-
dc.contributor.author-Superviser, GalalAbdalrahman Mohammed-
dc.date.accessioned2021-08-18T07:19:23Z-
dc.date.available2021-08-18T07:19:23Z-
dc.date.issued2020-11-01-
dc.identifier.citationKhalid,Mohammed Babiker Takona. Farm Mapping Using Quadcopter/ Mohammed Babiker Takona Khalid...etc;GalalAbdalrahman Mohammed.-khartoum:Sudan University Of Science & Technology,College Of Engineering, 2020.-86p:ill ;28cm.- B.Sc.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/26435-
dc.descriptionPACHELOR RESEARCHen_US
dc.description.abstractFarm mapping and analyzing using quad copter helps farmers to protect their crops from pests and insects and to prevent their plants from being damaged. The quad copter works with (NDVI) technique. The Normalized Difference Vegetation Index (NDVI) data used to estimate the health of green vegetation and post processed high definition images for precision agriculture. Drone provide high-resolution field surveying images taken of crops, it compares the reflected densities of near infrared (NIR) and visible light (Red Green Blue). Autonomous aircrafts are improved and cost effective instruments for data acquisition, real-time thermal imagery to the ground control station (GCS), and fastest medium for quick time and critical analysis of the crop. The research represents an alternative and cheaper methodology to estimate the growing crop health and stress byacquisition of data usingdrone with modified airborne cameras and sensors.en_US
dc.description.sponsorshipSudan University Of Science & Technologyen_US
dc.language.isoen_USen_US
dc.publisherSudan University Of Science & Technologyen_US
dc.subjectFarm Mappingen_US
dc.subjectQuadcopteren_US
dc.titleFarm Mapping Using Quadcopteren_US
dc.typeThesisen_US
Appears in Collections:Bachelor of Engineering

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