Submitted to: Applied Engineering in Agriculture
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 6/20/2008
Publication Date: 8/13/2009
Citation: Lan, Y., Huang, Y., Martin, D.E., Hoffmann, W.C. 2009. Development of an airborne remote sensing system for crop pest management: System integration and verification. Applied Engineering in Agriculture. 25(4):607-615. Interpretive Summary: Remote sensing along with Global Positioning Systems, Geographic Information Systems, and variable rate technology has been developed, which scientists can implement to help farmers maximize the economic and environmental benefits of crop pest management through precision agriculture. An integration multispectral camera was coupled with a specifically designed camera control system to develop a cost-effective tool for airborne remote sensing in pest management. The automated multispectral imaging system consistently produced precise images for the spatial analysis of pest infestations. Through image processing, data from the system was converted into input for the prescription of variable rate application in site-specific pest management. The systems and techniques used in this work will increase the speed of image acquisition and enhance the use of aerially-acquired images for precision application in pest management.
Technical Abstract: Remote sensing along with Global Positioning Systems, Geographic Information Systems, and variable rate technology has been developed, which scientists can implement to help farmers maximize the economic and environmental benefits of crop pest management through precision agriculture. Airborne remote sensing is flexible and able to achieve different spatial resolutions with different flight altitudes. Although the use of airborne hyperspectral remote sensing in agricultural research and applications has been steadily increasing in the last decade, the airborne multispectral technique is still a good source of crop, soil, or ground cover information. A multispectral camera produces and aligns images from four different wavelength bands of energy with built-in devices. Data can be analyzed from the composite image or the images of individual bands. For automatic operation of the multispectral camera to control roll, pitch, and yaw camera stabilization, a camera control system was prototyped. This paper describes the automated airborne multispectral imaging system and image processing using sample imagery to demonstrate the capability and potential of the system for crop pest management.