The greenbug is a severe pest of wheat for which there is a need for new integrated pest management (IPM) decision-making tools. A critical component of an IPM program is a method to monitor fields to determine if there is a pest problem. Traditional field-based greenbug monitoring is not cost effective. An aircraft based multi-spectral imaging system to identify fields with greenbug infestations and to delineate the spatial boundaries of infestations in fields may be more practical. Such a system could be made cost effective, and fields could be treated with insecticide when, and where, needed using a "site-specific" IPM approach. To progress towards such a system, our objectives were to: (1) obtain high spatial resolution multi-spectral images of greenbug infested winter wheat fields using the SST Crop Reflectance Imaging System (SSTCRIS); (2) perform simultaneous ground-based reference sampling of greenbug infestations and damage in fields; (3) classify SSTCRIS imagery to produce categorical maps of greenbug infestation patterns in fields; (4) use spatial interpolation techniques to create maps of greenbug density and plant damage from ground-based reference sampling data from the fields; and (5) use statistical methods to assess the degree of agreement between the remotely sensed and ground-based maps.
Species 1: Homoptera Aphididae Schizaphis graminum (Greenbug)
Keywords: greenbug, remote sensing
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