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by
S. Minaei |
Total Records (
2 ) for
S. Minaei |
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K. Moshashai
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M. Almasi
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S. Minaei
and
A.M. Borghei
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An algorithm was designed for mechanizing sugarcane planting by machine vision system and image processing method. This algorithm uses convolution, threshold and look-up table operations for identification of sugarcane nods and sends the cut-point position of two consecutive nodes to microcontroller. The recognition algorithm which was used with right sobel matrix has 2.08±0.30% error. The right sobel matrix was assigned as the best mask matrix with the variance and standard deviation of 8.82 and 2.97, respectively. The precision of nods identification in sugarcane stalk by mentioned algorithm was estimated to be 97.92±0.3%. The test of this image processing method showed that the total running time of one image processing was less than 0.500 sec. |
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H. Maghsoudi
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M. H. Khoshtaghaza
and
S. Minaei
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In this study, several physical properties of unsplit pistachio nut were determined as functions of moisture content. By increasing moisture content from 5 to 20% all geometric characteristics increased linearly. Also, apparent and bulk density increased from 803 to 872 kg/m3 and from 458 to 575 kg/m3, respectively, while porosity decreased from 43% to 34%. Coefficient of static friction of the sample nuts on galvanized iron, plywood, and rubber surfaces increased linearly with moisture content. Nut splitting force decreased from 142 to 21 N and energy increased from 20 to 52 mJ with increasing moisture content from 5 to 20%. |
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