Physics
Scientific paper
Nov 1994
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994adspr..14..203h&link_type=abstract
Advances in Space Research, Volume 14, Issue 11, p. 203-212.
Physics
Scientific paper
Techniques 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.
Engel B. A.
Hammer P. A.
Hetzroni A.
Latin R. X.
Miles G. E.
No associations
LandOfFree
Machine vision monitoring of plant health does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Machine vision monitoring of plant health, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Machine vision monitoring of plant health will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1021451