Weeds accurately mapped using DGPS and ground-based vision identification

We describe a method for locating and identifying weeds, using cotton as the example crop. The system used a digital video camera for capturing images along the crop seedline while simultaneously capturing data from a global positioning system (GPS) receiver. Image time-stamps were synchronized with...

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Bibliographic Details
Published inCalifornia agriculture (Berkeley, Calif.) Vol. 58; no. 4; pp. 218 - 221
Main Authors Downey, D, Giles, D.K, Slaughter, D.C
Format Journal Article
LanguageEnglish
Published University of California Agriculture and Natural Resources 01.10.2004
Subjects
cotton
differential global positioning systems
global positioning systems
Gossypium
weeds
California
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Summary:We describe a method for locating and identifying weeds, using cotton as the example crop. The system used a digital video camera for capturing images along the crop seedline while simultaneously capturing data from a global positioning system (GPS) receiver. Image time-stamps were synchronized with GPS time so that GPS coordinates could be overlaid onto selected images. The video system continuously mapped nutsedge weeds and crop plants within the seedline, allowing weed locations to be described with centimeter-scale accuracy when using a real-time kinematic GPS (RTK-GPS). This system may be used to develop maps of weed and crop populations as part of precision crop-management decisions.
Bibliography:http://californiaagriculture.ucop.edu/
ISSN:0008-0845
2160-8091
DOI:10.3733/ca.v058n04p218