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Document Type : Latin Dissertation
Language of Document : English
Record Number : 150372
Doc. No : ET22164
Main Entry : Lon Thomas Barber
Title Proper : UTILIZING HYPERSPECTRAL AND MULTISPECTRAL REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS TO IDENTIFY AND DIFFERENTIATE WEED AND CROP SPECIES
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Weed species are not evenly distributed across a field; thus, if remote sensingimagery could be utilized as a tool for locating and identifying these patches, herbicidescould be applied according to species and spatial distribution. In order to utilize site-specific technology to apply herbicides, the spatial variability of weed populations withina field must be known. Research was conducted to determine if remote sensing could beutilized as a tool for identifying and separating weed species from cotton and corn.Additionally geographic information systems and herbicide decision aids were tested todetermine if weed population mapping could...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL45368.pdf
Title and statement of responsibility and : UTILIZING HYPERSPECTRAL AND MULTISPECTRAL REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS TO IDENTIFY AND DIFFERENTIATE WEED AND CROP SPECIES [Thesis]
 
 
 
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