KEYWORDS: Image processing, Cameras, CCD cameras, Video, Agriculture, Signal processing, Laboratory techniques, Digital recording, Video processing, RGB color model
One of the seed characteristics which seems to correlate with the vigor is the speed of growing. An experimental rig was built to measure this speed using image processing and evaluation technique. The system was able to take automatically pictures in regular intervals, to process them and to carry out the necessary calculations. The image taken from the seedings was scanned by horizontal lines from the bottom to the top. The R, G and B values for each pixel of each line were summarized and a curve was drawn of the sums. Each curve was then derived. A pair of peeks - one below and one above the central line show the vertical edges of a seedling stem. The results of examination are shown in seedling high versus time diagram. The slope of the curve - and so the speed of growing - changes during observation at all the three varieties.
The driving by man in a straight line and turning at the end of the row of the plantation demands high concentration which may limit the possible speed of the vehicle. With automatic steering control working speed can be increased and there is no health when working with chemicals. The necessary input information for the automatic steering can be taken from the natural surrounding. In the plantations the stems of the plants are the most characteristic objects, the bottom of the stems appear in a straight line. The equation of such a line is not influenced by the distance between the stems. In the project described in this paper, a CCD camera mounted on the front of a model tractor takes pictures from one side of the plantation row. Evaluating the images in real time the necessary intervention for keeping the vehicle in straight line can be calculated. The basic equations for steering control and the first image processing experiences are presented.
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