AbstractTechniques and algorithms to detect and diagnose disorders in plants grown in a controlled environment have been developed. A video camera senses features of plants which are inductive of disorders. Images are calibrated for size and color variations by using calibration templates. Different image segmentation techniques for separating object from background, have been implemented. Plant size and color properties have been investigated, temporal, spectral and spatial variation of leaves were extracted from the segmented images. Neural network and statistical classifiers were used to determine plant condition.
Machine vision monitoring of plant health
Advances in Space Research ; 14 , 11 ; 203-212
1994-01-01
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Machine Vision Monitoring of Plant Health
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