Abstract
A multi-spectral imaging sensor has been proposed for nitrogen assessment of a corn crop. In order for robust performance under changes in ambient illumination, the image pixel distribution is controlled to fall within the digital value by adjusting camera parameters to compensate varying ambient illumination. With no dynamic model available for camera performance, a fuzzy logic controller was applied to control exposure and gain to maintain the desired image quality. An experimental study showed that the fuzzy controller performed well in adapting the vision based spectral sensor to the changing environment for consistent performance. This will provide the framework for a robust image-based field-crop sensing system
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