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Sensor-based Precision Chemical Application Systems

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Pp. 279-289 in Proceedings of the World Congress of Computers in Agriculture and Natural Resources (13-15, March 2002, Iguacu Falls, Brazil)  701P0301.(doi:10.13031/2013.8342)
Authors:   Lei Tian
Keywords:   Machine-vision, Weed mapping, Herbicide application, Remote sensing

This research studied and compared the applications of the remote sensing system with the commercial map-driven-ready sprayer, and a real-time machine vision guided individual nozzle controlling device in high-accuracy selective herbicide applications. Remote sensing data was used to identify weed infestation area and simulate map-driven selective herbicide application. The machine vision guided system was specially designed to work under outdoor variable lighting conditions. Multiple vision sensors were used to cover the target area. To increase the delivery accuracy, each individual spray nozzle was controlled separately. The integrated system was tested to evaluate the effectiveness and performance under varying commercial field conditions. Using the on-board differential GPS, geo-referenced chemical input maps (equivalent to weed maps) were also recorded in real-time. The maps generated with this system have been compared with other sensing and referencing remote sensing systems.

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