Spatially variable insecticide applications for early season control of cotton insect pests

Our research has shown that cotton insect pests, specifically tarnished plant bugs, Lygus lineolaris (Palisot de Beauvois) (Heteroptera: Miridae) can be controlled early season in commercial cotton fields in Mississippi, USA, using spatially variable insecticide applications. Technology was develope...

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Bibliographic Details
Published in:Computers and electronics in agriculture 2009-06, Vol.67 (1), p.71-79
Main Authors: McKinion, J.M., Jenkins, J.N., Willers, J.L., Zumanis, A.
Format: Article
Language:English
Subjects:
Agronomy. Soil science and plant productions
application timing
Automation
Biological and medical sciences
computer software
cotton
Fundamental and applied biological sciences. Psychology
geographic information systems
Hemiptera
image analysis
Imaging
insect control
insect pests
Insecticide
Lygus lineolaris
Miridae
Multispectral
Network
normalized displacement vegetative index
pest monitoring
pesticide application
plant pests
population size
remote sensing
spatial variation
Spatially variable
spectral analysis
systems analysis
thematic maps
Wireless
WLAN
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Summary:Our research has shown that cotton insect pests, specifically tarnished plant bugs, Lygus lineolaris (Palisot de Beauvois) (Heteroptera: Miridae) can be controlled early season in commercial cotton fields in Mississippi, USA, using spatially variable insecticide applications. Technology was developed for using GIS-based map scouting and a technique called the line-intercept method for obtaining low-level insect population counts in both rapidly growing areas of cotton and poorer growing areas. Using these population characteristics in combination with heuristic knowledge of the cotton fields and with the GIS maps, a spatially sensitive map could then be developed that could drive a spatially variable insecticide application for the control of the insect pest. We outline the steps needed to develop an automated technology for overcoming the time-sensitive events for early season control of cotton pests. This technology not only includes software systems for processing multispectral images to spatially variable insecticide application maps for spray controllers in the field but also high-speed wireless local area network (WLAN) technology for automated delivery of these controller application maps and for acquisition of as-applied and harvest maps from the field.
ISSN:0168-1699
1872-7107
DOI:10.1016/j.compag.2009.03.004