Mohammad Shaker
Abstract
Considering the problems of visual and human evaluation, machine vision, can be used as a suitable substitute for human vision. The purpose of this research was to build and evaluate a machine vision system to determine the breakage percentage and the number of wheat seeds. The system consists of three ...
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Considering the problems of visual and human evaluation, machine vision, can be used as a suitable substitute for human vision. The purpose of this research was to build and evaluate a machine vision system to determine the breakage percentage and the number of wheat seeds. The system consists of three parts: suction box, sampling box and imaging box and evaluated for two cultivars Torabi and Azar wheat. In each type of wheat, the performance of the suction device was evaluated with two seed plates and four suction values. In each amount of suction, the number of singled seeds and the seeds of sticked together on each hole were counted and their percentage was calculated. The image prepared was transferred to MATLAB software and breakage determination algorithm and wheat seed number was coded and presented. The results showed that the most suitable treatment for wheat of Torabi cultivar, was seed plate with 1 mm hole and suction of -100 mm Hg with 95.31 percent singled seeds and 4.69 percent of sticked together seeds. For Azar cultivar, seed plate with 1 mm hole and suction of -120 mm Hg with a percentage of singled seeds of 91.6 and a percentage of sticked together seeds of 8.4 was the most appropriate treatment. The validation results of the algorithm showed that its accuracy for determining the percentage of breakage and the number of wheat seeds were 85.33 and 98.76%, respectively. It is suggested that this system be evaluated for seeds of different sizes.
Mohammad Ali Rostami; Seiid Mansur Alavimanesh
Abstract
In this research suitability of dimension and size, location of some control equipment’s and driver surroundings with dimension, sizes and abilities of tractor drivers in Fars province was evaluated. Anthropometric data was essential requirement for adjustment of machine equipments with potentiality ...
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In this research suitability of dimension and size, location of some control equipment’s and driver surroundings with dimension, sizes and abilities of tractor drivers in Fars province was evaluated. Anthropometric data was essential requirement for adjustment of machine equipments with potentiality and competence of human. In this project the first necessary anthropometric data, for about 250 tractor drivers that were in age range of 20–60 year was measured randomly. The next some of prevalent tractors specifications in Fars province with anthropometric data of fifth and ninety and fifth percentiles of drivers was compared and evaluated. The results showed that stair space of evaluated tractors from the ground was more than optimum range. Chair depth of New Holland and Valtra tractors for fifth percentile drivers was great and for elimination of this difficulty proper seat back with adjustable thickness was recommended. The surveys showed that chair depth of model 285 and 399 of massey furgousen tractors was shorter than thigh length of ninety and fifth percentile drivers, which caused the driver’s discomfort. In massey furgousen tractor model 285 and Valtra tractors distance of steering wheel from seat reference point was more than hand length of fifth percentile drivers. Therefore the length of drivers hand was considered to be short for proper grip on steering wheel. The surveys showed that the drivers of massey furgousen tractors (Model 399) faced difficulty in for accessing the gear lever.
Abstract
The current study developed and tested machine vision and automatic control systems to improve performance and reduce rice loss during paddy husking. This system was optimally adjusted for paddy type, moisture content of paddy, roller spacing and rotational speed of the motor. The percentage of breakage ...
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The current study developed and tested machine vision and automatic control systems to improve performance and reduce rice loss during paddy husking. This system was optimally adjusted for paddy type, moisture content of paddy, roller spacing and rotational speed of the motor. The percentage of breakage of rice kernels was determined using a machine vision system and a singulation device. If rice breakage was greater than a set point, the husker device was adjusted as necessary. The variables of paddy moisture content, roller spacing, and motor rotational speed were used to determine the working conditions of the husker for two paddy varieties. The dependent variables were husking index and rice kernel breakage percentage. An image processing algorithm was coded and evaluated in MATLAB software to determine the percentage of rice kernel breakage. The results showed that selection of proper treatment for the medium-sized kernel paddy, the average husking index was 82.65% and the average rice breakage was 3.88%. For the long kernel paddy, the average husking index and rice breakage were 51.4% and 27.46%, respectively. Without use of the system and with improper selection of motor rotational speed and roller spacing in the medium-sized kernel paddy produced a husking index of 61.58% and rice breakage of 7.51%. For the long kernel paddy, the husking index was 19.14% and rice breakage was 35.03%. Results from the algorithm showed that its accuracy was 91.81%. Evaluation of the singulation device showed that a suction of -45 to -50 mmHg yielded an appropriate 81.3% separation efficiency. The best combination of the machine parameter levels were programmed into the system, which operated to make the proper adjustments automatically. This resulted in the most appropriate working conditions for husking in accordance with paddy variety, paddy moisture content, roller spacing, and motor rotational speed.
