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| Mohi-Alden, Khaled; Omid, Mahmoud; Soltani Firouz, Mahmoud; Nasiri, Amin. |
| The appearance color of bell peppers is significantly related to their quality which affects consumer’s acceptance to buy. Also, homogeneity of color are among the most essential export standards of bell peppers. Commercially standard colorimetric devices are very expensive and are often available in scientific research centers. The aim of the present study was to develop and calibrate a simple, cheap, and portable machine vision (MV)-based system to accurately measure the chromatic parameters of bell peppers. For this purpose, a MV system possessing a digital CCD camera, and an artificial lighting system was developed. To calibrate the color of the utilized camera, the standard color cards were used. An appropriate algorithm based on image processing... |
| Tipo: Info:eu-repo/semantics/article |
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| Ano: 2022 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/7657 |
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| Hosseinpour Zarnaq, Mohammad; Omid, Mahmoud; Soltani Firouz, Mahmoud; Jafarian, Mostafa; Bazyar, Pourya. |
| Fruits and vegetables are important components of healthy diets. Vegetable freshness is important for both postharvest industry and consumer appeal. This study focused on freshness detection of parsleys using combined image processing and artificial intelligence techniques. A dataset of color and texture features computed from parsley images. Linear discriminant analysis (LDA) and principal component analysis (PCA) methods are used for feature reduction. Multilayer perceptron (MLP) neural networks, support vector machine (SVM) and decision trees (DTs) classifiers were used for classification. Results showed MLP with LDA feature selection methods had higher performance and the overall accuracy, RMSE, MAE of MLP classifier... |
| Tipo: Info:eu-repo/semantics/article |
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| Ano: 2022 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/7687 |
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| Almaliki, Salim; Alimardani, Reza; Omid, Mahmoud. |
| Due to the ascending importance of energy in the world, prediction and optimization of Fuel Consumption (FC) in agricultural tasks is merit to consideration. In this study a Massey Ferguson (MF285) tractor was implemented with a low cost and precise data acquisition system as a means to record and monitor the affectual parameters on FC such as forward speed and instant fuel flow rate during field operation. Field experiments were carried out in the experimental farm of Agricultural Engineering Department of Tehran University, Karaj province, Iran, which had loamy soil texture. A mouldboard plow was used as tillage toll during the experiments at various tillage depths, engine speeds, forward speeds, tire inflation pressures, moisture contents and cone... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Fuel consumption; Massey Ferguson (MF285); Modelling; Data logging system. |
| Ano: 2016 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3776 |
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