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Document Type : Latin Dissertation
Language of Document : English
Record Number : 148487
Doc. No : ET20279
Main Entry : Kelly Robert Thorp
Title Proper : Integration of remote sensing and crop growth modeling for nitrogen management decision support in corn
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : This dissertation describes efforts to move toward a completely integrated remotesensing and crop growth modeling tool for developing precision nitrogen managementrecommendations for corn. Aerial hyperspectral remote sensing imagery collectedthroughout the 2004 growing season was used to estimate corn plant stand density, and amachine vision system was used to map corn population on the ground. Multiple linearregression analysis was used to assess the.
Subject : Electericl tess
: برق
electronic file name : TL43405.pdf
Title and statement of responsibility and : Integration of remote sensing and crop growth modeling for nitrogen management decision support in corn [Thesis]
 
 
 
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