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ARS Home » Plains Area » Sidney, Montana » Northern Plains Agricultural Research Laboratory » Agricultural Systems Research » Research » Publications at this Location » Publication #194804
Title: Fuzzy Logic Control of a Multi-Spectral Imaging Sensor for In-Field Plant Sensing

Author
item Kim, James
item REID, JOHN - JOHN DEERE
item ZHANG, QIN - UNIVERSITY OF ILLINOIS

Submitted to: Computers and Electronics in Agriculture
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 7/23/2007
Publication Date: 3/1/2008
Citation: Kim Y., J. F. Reid, and Q. Zhang. 2008. Fuzzy logic control of a multispectral imaging sensor for in-field plant sensing. Computers and Electronics in Agriculture 60(2): 279-288.

Interpretive Summary: In-field plant sensing is subject to varying image intensity under the change of ambient illumination. An optical sensing system was proposed for in-field plant sensing. In order for robust performance, A fuzzy logic controller was applied to compensate varying image intensity and control the image quality within target brightness by adjusting camera parameters. Camera parameter settings with high exposure and low gain supported the stable reflectance response by converging image into a desired image brightness within a second.

Technical Abstract: A multi-spectral imaging sensor has been proposed for in-field plant sensing. In order for robust performance under changes in ambient illumination, an algorithm was developed to control the image pixel distribution to fall brightness within a target gray level by adjusting camera parameters to compensate varying image intensity. A fuzzy logic controller was applied to control exposure and gain to maintain the desired image quality. Camera parameter settings with high exposure and low gain supported the stability of the reflectance response. Images affected by ambient illumination converged into a desired image within a second.