The machine vision system monitoring of plants growth consists of the scene, vision hardware,
calibration processor, image feature extraction processor, growth index evaluation processor
and finally the control system. The image of a plant canopy or a community of plants is captured
by the vision system and calibrated. The raw data of the calibrated image is fed into the image feature
extraction processor. The output from the image feature extraction processor is then directed
to the growth index processor. Because of the large number of parameters involved in evaluating
the plant growth, an ANN should be used. The current growth indices of plants are compared with
the reference input (set value) of growth indices. Then, deviation from normal appearance is calculated.
The machine vision system monitoring of plants growth consists of the scene, vision hardware,calibration processor, image feature extraction processor, growth index evaluation processorand finally the control system. The image of a plant canopy or a community of plants is capturedby the vision system and calibrated. The raw data of the calibrated image is fed into the image featureextraction processor. The output from the image feature extraction processor is then directedto the growth index processor. Because of the large number of parameters involved in evaluatingthe plant growth, an ANN should be used. The current growth indices of plants are compared withthe reference input (set value) of growth indices. Then, deviation from normal appearance is calculated.
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