Consulta: creatorFacets:"Omid, Mahmoud"
Registros recuperados: 6
Data/hora: 20/05/2024 09:00:53

Artificial Neural Network Based Modeling of Tractor Performance at Different Field Conditions
Provedor de dados: 111
Autores: Almaliki, Salim; Alimardani, Reza; Omid, Mahmoud.
Application of tractors in farming is undeniable as a power supply. Therefore, performance model for evolving parameters of tractors and implements are essential for farm machinery, operators and manufacturers alike. The objective of this study was to assess the predictive capability of several configurations of ANNs for performance evaluating of tractor in parameters of drawbar power, fuel consumption, rolling resistance and tractive efficiency. A conventional tillage system which included a moldboard plow with three furrows was used for collecting data from MF285 Massey Ferguson tractor. To predict performance parameters, ANN models with back-propagation algorithm were developed using a MATLAB software with different topologies and training algorithms....
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Artificial neural network; Tractive efficiency; Rolling resistance; Drawbar power; Fuel consumption.
Ano: 2016
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3880

Authentication of Virgin Olive Oil by Using Dielectric spectroscopy combined with Some Artificial Intelligence Methods
Provedor de dados: 111
Autores: Soltani, Mahmoud; Rashvand, Mahdi; Teimouri, Nima; Omid, Mahmoud.
Adulteration is a serious problem in the food industry. Olive oil is widely adulterated with other cheap edible oils such as sunflower and canola oils. Therefore, developing a low-cost, practical and rapid analytical method for detecting such adulteration in olive oil would be useful and needed.  In this research, we aimed to develop a dielectric measurement based system combined with complementary analytical intelligent techniques to recognize authentication of virgin olive oil from adulterated with vegetable oils (canola and sunflower). 192 sinusoidal signals in the range of 20 kHz and 20 MHz were feed into the cylindrical dielectric sensor filled with oil sample. Correlation based feature selection (CFS) was applied to select the most appropriate...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Postharvest Engineering Olive oil; Authentication; Dielectric properties; Data mining.
Ano: 2019
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/5483

Development of a machine vision-based colorimetric system for bell peppers (Capsicum annuum L.) using intelligent modelling techniques
Provedor de dados: 111
Autores: 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
Ano: 2022
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/7657

Energy analysis and greenhouse gas emission in broiler farms: A case study in Alborz province, Iran
Provedor de dados: 111
Autores: Omid, Mahmoud; Khanali, Majid; Zand, Sajad.
The goal of this study was to examine the energy flows for poultry breeding in broiler production farms in Alborz province of Iran. Data were obtained randomly from 30 poultry production farms using a face to face questionnaire method. The results indicated that the total input energy was 189805.48 MJ per 1000 birds, while the output energy was 28151.17 MJ/(1000 bird). Net energy was negative, -161654.31 MJ/(1000 bird), implying that energy had been lost. Energy use efficiency was calculated as 0.15, showing the inefficient use of energy in the broiler production farms. The fuel energy (energy content of the fuel) with a share of 58.35% had the highest share of input energy and the feed energy by 29.71% was the next. Greenhouse gas (GHG) emission of the...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Broiler production; Energy consumption; Environmental analysis; GHG emission; Marginal physical productivity.
Ano: 2018
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/4157

Freshness and quality assessment of parsley using image processing and artificial intelligence techniques
Provedor de dados: 111
Autores: Hosseinpour Zarnaq, Mohammad; Omid, Mahmoud; Soltani Firouz, Mahmoud; Jafarian, Mostafa; Bazyar, Pourya.
Fruits and&amp;nbsp;vegetables&amp;nbsp;are&amp;nbsp;important&amp;nbsp;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
Ano: 2022
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/7687

Fuel consumption models of MF285 tractor under various field conditions
Provedor de dados: 111
Autores: 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