Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
 
Articles by M. Almasi
Total Records ( 2 ) for M. Almasi
  M. Kazemi , M. Gholami , M. Asadi , S. Aghdasi and M. Almasi
  Short postharvest vase life is one of the most important problems on the cut flowers. The study was conducted to investigate the effect of salicylic acid at different concentrations on carnation flower longevity, Aminocyclopropanecarboxylate oxidase (ACC-oxidase, ACO) activity and SOD activity vase solution of cut flowers carnation in laboratory condition. The treatments were distilled water, salicylic acid (0,1.5, 2.5, 3.5 mM) and glutamine (0, 2 and 4 mM). Results show that salicylic acid 2.5 mM followed by glutamine 4 mM is more effective than salicylic acid 1.5, 3.5 and 4.5 mM alone in improving the vase life of cut carnation flowers. The percent of wilting was minimized as a result of using this combined treatment. However, the percent of wilting increased with the increase in concentrations of salicylic acid. 2.5 mM salicylic acid+4 mM glutamine retarded the chlorophyll as well as carbohydrate degradation during the postharvest life. The results showed that salicylic acid and glutamine in preservative mixture increased the SOD activity of cut flowers and reduced ACC-xidase activity, free proline accumulation, number of bacterial on vase solution, as compared to control.
  K. Moshashai , M. Almasi , S. Minaei and A.M. Borghei
  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.
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility