SAS/ETS User's Guide, Version 6
SAS/ETS User's Guide, Version 6
Computers and Electronics in Agriculture
A cognitive vision approach to early pest detection in greenhouse crops
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture
Hyperspectral detection of rice damaged by rice leaf folder (Cnaphalocrocis medinalis)
Computers and Electronics in Agriculture
A novel algorithm for damage recognition on pest-infested oilseed rape leaves
Computers and Electronics in Agriculture
Differentiating stress to wheat fields induced by Diuraphis noxia from other stress causing factors
Computers and Electronics in Agriculture
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Greenbug (Schizaphis graminum (Rondani)) outbreaks appear in the Great Plains almost every year and have had significant economic impacts on wheat and sorghum yields. Early detection of greenbug infestation becomes a critical part of integrated pest management (IPM) for wheat and sorghum production. We conducted a pilot study to determine the feasibility of using remote sensing techniques to detect stress in wheat caused by greenbug infestation. The purpose of this study was to characterize greenbug-induced stress in wheat using a hand-held radiometer. Reflectance data and derived vegetation indices from the 16 bands of the radiometer were analyzed statistically (SAS PROC MIXED). Results show that it is possible to detect greenbug-induced stress in wheat using a hand-held radiometer. The band centered at 694nm and the vegetation indices derived from bands centered at 800 and 694nm were identified as most sensitive to damage due to greenbug infestation. Broad Landsat TM bands and derived vegetation indices also showed potential for detecting stress in wheat caused by greenbug infestation.