DocumentCode
1922551
Title
Development of a broad landscape monitoring system using hyperspectral imagery to detect pest infestation
Author
Glaser, John ; Casas, Joseph ; Copenhaver, Kenneth ; Mueller, Steffen
Author_Institution
Nat. Risk Manage. Res. Lab., US Environ. Protection Agency, Cincinnati, OH, USA
fYear
2009
fDate
26-28 Aug. 2009
Firstpage
1
Lastpage
4
Abstract
Comprised of 28 million hectares in 2007, the United States (US) maize agricultural landscape was valued at $52 billion. Any threat to the continued dependability of this crop, now important as both a food and fuel source, becomes an important economic and ecological resource management factor for the global economy. Many genetically modified maize varieties contain toxins that target insects, reducing insecticide applications with positive ecological and human health consequences. Crop monitoring is required by US law to manage the development of insect resistance. To assess the onset of resistance, a proactive monitoring system must be able to identify maize infestation across the broad agricultural landscape. Non-destructive monitoring tools are necessary at a scale and definition required to discern insect infestation effects. A joint USEPA and NASA hyperspectral imagery and decision support system project has been successfully evaluated for its ability to distinguish insect infestations in several locations.
Keywords
agricultural engineering; agriculture; agrochemicals; computerised monitoring; condition monitoring; crops; decision support systems; ecology; genetic engineering; industrial economics; nondestructive testing; pest control; US maize agricultural landscape; USEPA; broad landscape monitoring system; crop monitoring; decision support system; ecological resource management; ecology; fuel source; genetically modified maize varieties; human health consequences; hyperspectral imagery; insect infestation effects; insect resistance; nondestructive monitoring tools; pest infestation; toxins; Crops; Decision support systems; Fuel economy; Humans; Hyperspectral imaging; Immune system; Insects; Monitoring; NASA; Resource management; Genetically modified crops; agriculture; bio-fuels; decision support system; policy;
fLanguage
English
Publisher
ieee
Conference_Titel
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009. WHISPERS '09. First Workshop on
Conference_Location
Grenoble
Print_ISBN
978-1-4244-4686-5
Electronic_ISBN
978-1-4244-4687-2
Type
conf
DOI
10.1109/WHISPERS.2009.5289005
Filename
5289005
Link To Document