Mahmoud Omid

Mahmoud Omid
University of Tehran | UT · Agricultural Machinery Engineering

Doctor of Philosophy
Computational intelligence in Agri-Food industry

About

390
Publications
1,000,995
Reads
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9,185
Citations
Introduction
I received PhD in Telecommunications from University of Electro-Communications in Tokyo (Japan) in 1997. I am a senior professor in University of Tehran (Iran). My research interests include computational intelligence, deep learning, and machine vision in Food and Agriculture. My H-indices in WOS (=39), Scopus (=47) and GS (=58), respectively.
Additional affiliations
January 2001 - June 2015
University of Tehran
Position
  • Professor
January 2001 - June 2015
University of Tehran
Position
  • Professor
January 2001 - June 2015
Neural Networks and Artificial Intelligence
Position
  • Professor
Education
January 2000 - April 2013
University of Tehran
Field of study
  • Artificial Intelligence

Publications

Publications (390)
Article
Full-text available
This study focused on developing a one-dimensional convolutional neural network (CNN) model for sorting pistachio nuts using acoustic emissions signals. The mentioned system detects open and closed-shell pistachio nuts by dropping them onto a steel plate and analyzing the acoustic signals. A total of 1600 pistachio nuts from two pistachio nut varie...
Article
Full-text available
Homogeneity of appearance attributes of bell peppers is essential for consumers and food industries. This research aimed to develop an in-line sorting system using a deep convolutional neural network (DCNN) which is considered the state-of-the-art in the field of machine vision-based classifications, for grading bell peppers into five classes. Acco...
Article
Weeds are among the major factors adversely affecting crop yield. Therefore, weed control with minimal environmental damage is a global concern. Traditional weed control methods are not cost-effective. Hence, precision agriculture proposes variable flow herbicide technology through regional weed management to distinguish weed and crop. In the prese...
Article
Full-text available
The appearance color of bell peppers is significantly related to their quality which affects consumer's acceptance of buy. Also, homogeneity of color is 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 prese...
Article
This study focus on modeling and mapping soil organic carbon (SOC) at high spatial resolution and at four standard depths in an arid and semi-arid region of Iran. The SOC data includes 850 soil samples collected from 278 observation profiles. In parallel, a wide range of environmental covariates (n=62) were obtained from multiple sources. Six indiv...
Article
Full-text available
Fruits and vegetables are important components of healthy diet. Vegetable freshness is important for both the 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. Li...
Article
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AppTree" is an intelligent platform to bring researchers, visitors, and all interested people closer to the oldest and most attractive botanical garden at the University of Tehran. AppTree can scan the QR-Barcode of each plant in person by smartphone or search various plants on the website and get all the useful knowledge about them. Also, the abil...
Article
The uniformity of appearance attributes of bell peppers is significant for consumers and food industries. To automate the sorting process of bell peppers and improve the packaging quality of this crop by detecting and separating the not likable low-color bell peppers, developing an appropriate sorting system would be of high importance and influenc...
Article
Full-text available
Estimating the diameter increment of forests is one of the most important relationships in forest management and planning. The aim of this study was to provide insight into the application of two machine learning methods, i.e., the multilayer perceptron artificial neural network (MLP) and adaptive neuro-fuzzy inference system (ANFIS), for developin...
Article
The usage of phase change materials (PCMs) in thermal energy storage (TES) systems has been a promising approach in recent years. An accurate estimation of their thermophysical properties is a key factor in their optimal and efficient performance in TES systems. In this study, aluminum oxide (Al2O3) and copper (Cu) nanoparticles were incorporated i...
Article
Full-text available
Introduction: Calcium Carbonate Equivalent (CCE) is one of the key soils properties in arid and semi-arid regions. The study of spatial variability of surface and subsurface layers is important in the sustainable land management of arable soils. This study aimed to model the spatial distribution of CCE percentage by using three machine learning alg...
Article
Full-text available
Soil salinity, as one of the most important indicators of soil quality, has crucial roles in land use planning and land management in arid and semi-arid regions. The aim of this study was to model soil salinity at five standard depth (0-5, 5-15, 15-30, 30-60, and 60-100 cm) of global digital soil mapping project in 60,000 hectares of Qazvin plain w...
Article
Full-text available
Modeling and mapping of plants nutrient elements in soil has importance in increasing the productivity of agriculture and achieving sustainable development. The aim of this research was to prepare digital maps of two nutrients, namely, available phosphorus (Pav) and exchangeable potassium (Kex) using machine learning models (MLM) i.e., random fores...
Article
Full-text available
The Vertical Modeling of Soil Calcium Carbonate Equivalent Variation by Machine Learning Algorithms in Qazvin Plain Introduction: Calcium Carbonate Equivalent (CCE) is one of the key soils properties in arid and semi-arid regions. The study of spatial variability of surface and subsurface layers is important in the sustainable land management of...
Conference Paper
Full-text available
The appearance color of bell pepper is significantly related to its quality which affects consumer's acceptance to buy. Also, homogeneity of color is 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...
Article
Full-text available
Climate change studies and simulations conducted by GCM models show that patterns of temperature and rainfall will change over the next 50 to 100 years can affect patterns of forest stands increment. Growth and yield models do not have the ability to simulation forest stands under the effect of climate change. Due to lack of efficient models, JABOW...
Article
Full-text available
On-time seed variety recognition is critical to limit qualitative and quantitative yield loss and asynchronous crop production. The conventional method is a subjective and error-prone process, since it relies on human experts and usually requires accredited seed material. This paper presents a convolutional neural network (CNN) framework for automa...
Article
Full-text available
In this study, the common systematic approach in Iran as well as a multilayer perceptron neural network were used to evaluate the ecological capability of the area for ecotourism. The performance of the artificial neural network (ANN) and linear discriminant analysis (LDA) method in the prediction and ranking of areas with ecotourism capability wer...
Article
Full-text available
Adulteration using cheap vegetable oils into expensive oils such as sesame oil is a considerable challenge in the edible oil market. To discriminate pure and adulterated sesame oil with sunflower and canola oils (commonly used as an adulterant to the high-price oils), dielectric spectroscopy was applied in the range of 40 kHz to 20 MHz. The princip...
Article
The purpose of this study was to investigate changes in essential oil content and the main components of mint (Mentha aquatica L.) during thin‐layer drying process. Response surface methodology (RSM) based on radial basis functions was used to model the relationships between drying temperature and different drying time (independent variables) and e...
Article
Adulteration is a serious problem in the expensive edible oils, especially for sesame oil (SEO). SEO is widely adulterated with cheap edible oils such as rapeseed oil (RO). Therefore, developing a low-cost, practical, and rapid analytical method for detecting and quantifying such adulteration in SEO would be useful. A dielectric spectroscopy-based...
Article
Full-text available
Accurate detection of mechanical components faults is an essential step for reduction of repair cost, human injury probability and loss of production. Using intelligent fault diagnosis systems in tractor could prevent secondary damage, thereby avoiding heavy consequences. In this study, fault diagnosis of tractor auxiliary gearbox is presented. Vib...
Article
Full-text available
The emergence of many new food products on the market with need of consumers to constantly monitor their quality until consuming, in addition to the necessity for reducing food corruption during preservation time, have led to the development of some modern packaging technologies such as intelligent packaging (IP) and active packaging (AP). The bene...
Article
Full-text available
The aim of the study was to provide an intelligent artificial neural networks-based method for modeling the capability of Arasbaran protected area for road crossing, in order to design, modify, and appropriate development of existing road network and communication routs in the region. First, using Analytical Hierarchy Process (AHP) and Weighted Lin...
Article
Full-text available
The aim of the study was to provide an intelligent artificial neural networks-based method for modeling the capability of Arasbaran protected area for road crossing, in order to design, modify, and appropriate development of existing road network and communication routs in the region. First, using Analytical Hierarchy Process (AHP) and Weighted Lin...
Article
Full-text available
The selection of cropping patterns is one of the main factors in increasing agricultural productivity. Optimal allocation of land and determination of suitable crop production in each region to prevent unwarranted consumption of inputs and reduce the disaster of lack of food supply after scientific study of factors affecting cropping pattern and ta...
Article
Full-text available
It is necessary to use methods to monitor the pH of the rumen and maintain it between 5.5 and 7. In this research, a pH Nano-sensor based on EIS technique was developed and assessed in order to be used in wireless monitoring system of rumen pH. Single-Wall Carbone Nanotubes were functionalized with carboxylic groups (COOH), also with Amin groups (N...
Article
Full-text available
The aim of this study is to determine the growth pattern and to investigate the vegetation indices power for sugarcane yield modelling at field scale in Imam Khomeini Agro-industry. For this purpose, the vegetation indices extracted from Landsat7 satellite images were investigated using time series analysis. Overall, 306 Landsat7 satellite images f...
Article
Full-text available
Egg quality and safety are significant concerns of consumers and modern food industries. This study proposes a novel and precise assessment of egg sorting using a deep convolutional neural network (CNN), which is a state-of-the-art computer vision method to perform classification tasks. To classify unwashed egg images, VGG16 architecture was modifi...
Article
Full-text available
Rough rice is one of the most important agricultural products and it plays an important role in ensuring food security. The objective of this study was to investigate the effect of high power ultrasound in tempering duration on the drying kinetics of rough rice in a combined far-infrared radiation (FIR) dryer. Tests were conducted in a factorial de...
Patent
Full-text available
برای درجه¬بندی قطعات مرغ یک نمونه دستگاه جداساز مجهز به تکنیک¬های پردازش تصویر و هوش مصنوعی طراحی و ساخته شده است. دستگاه درجه¬بندی قطعات مرغ از دو بخش سخت¬افزاری و نرم¬افزاری تشکیل می¬گردد. در بخش سخت¬افزار، ساختار فیزیکی دستگاه که شامل قطعات و مکانیزم¬ها (شاسی، تسمه نقاله، غلتک¬ها، موتورها، حسگرها، عملگرها و ...) می-باشد، ساخته می¬شود. در قسمت نر...
Article
Full-text available
Adulteration is a serious problem in 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 measur...
Conference Paper
Full-text available
In this study, image processing and artificial neural networks (ANNs) are combined to predict quality and shelf-life of cauliflower packaged with modified atmosphere packaging (MAP). The advantageous of using MAP with a gas mixture (92% N2 + 5% CO2 + 3% O2) over a packaging with ordinary air on shelf-life and the quality of cauliflower after harves...
Article
Abstract: Solar energy is a desirable type of renewable energies. However, it should be stored due to the sun radiation discontinuity. Phase-change materials (PCMs) store the thermal energy through their phase transitions and optimization of their thermal properties leads to more efficient thermal storage. In this study, paraffin wax was used as a...
Article
Full-text available
Solar energy is a desirable type of renewable energies. However, it should be stored due to the sun radiation discontinuity. Phase-change materials (PCMs) store the thermal energy through their phase transitions and optimization of their thermal properties leads to more efficient thermal storage. In this study, paraffin wax was used as a PCM and al...
Article
It is very important for managers to plan a road network that meets all the requirements for tourism development and management. The aim of this study was to evaluate and modify an existing road network for tourism purposes in the Arasbaran protected area. First, the map layers of effective criteria were prepared in GIS and were standardized by a f...
Poster
Full-text available
The aim of this study was to evaluate the power of various vegetation indices for sugarcane yield modelling in Shoeibeyeh area in Khuzestan province of Iran. Seven indices were extracted from satellite images and were then converted to seven days' time-series via interpolation. In order to eliminate noise from the time-series data, all of them were...
Conference Paper
Full-text available
This study aimed to evaluate the power of various vegetation indices for sugarcane yield modelling in Shoeibeyeh area in Khuzestan province of Iran. Seven indices were extracted from satellite images and were then converted to seven days' time-series via interpolation. To eliminate noise from the time-series data, all of them were reconstructed usi...
Article
Full-text available
Detection of faults and intelligent monitoring of equipment operations are essential for modern industries. Cooling radiator condition is one of the factors that affects engine performance. This paper proposes a novel and accurate radiator condition monitoring and intelligent fault detection based on thermal images and using a deep convolutional ne...
Article
One of the main challenges that faces the monitoring of maritime structures and ports is related to constantly changing weather and surrounding conditions. These conditions make manual actions very expensive, unreliable and imprecise. To overcome these problems, using Autonomous Surface Vehicles (ASV) is the best option. In this research, as part o...
Article
Full-text available
Among all kinds of renewable energies, the solar energy has the greatest application compared to the other types. However, the biggest shortage of solar collectors is their low effectiveness at night or in the cloudy weather. The latent heat storage of phase change materials (PCMs) can be utilized as a solution for the above-mentioned problem. Howe...
Article
Full-text available
Prediction of sugarcane yield is very important for a wide range of applications like, sugarcane production management, preparation of sugarcane refineries and pre-sales and warehouse industrial products. In this study, a model based on time-series processing of vegetation indices, Normalized Difference Vegetation Index (NDVI), Green Normalized Dif...
Article
Full-text available
The aim of this research is to study the effects of modified atmosphere packaging (MAP) with a gas mixture (92% nitrogen, 5% carbon dioxide and 3% oxygen) and a packaging with ordinary air on shelf-life and the quality of cauliflower after harvesting. Polyethylene (PE) and polypropylene (PP) pouches with 40 µm thickness were used for packaging. Fou...
Article
Thermoelectric generators (TEGs) have mostly been used in niche applications due to the low efficiency. This study aims to evaluate the effect of different material transport properties such as Seebeck coefficient, thermal conductivity, and electrical resistivity, on the system-level performance of the TEGs. A mathematical model was developed in MA...
Preprint
Full-text available
The aim of this study is the time series analysis of vegetation indices extracted from Landsat7 satellite images for growth profile definition and vegetation indices power for sugarcane yield modelling at field scale in Imam Khomeini Agro-industry. Overall 306 Landsat 7 satellite images(2004 to 2017) were used. All images were corrected via FLAASH...
Article
Nowadays people tend to include more meat in their diet thanks to the improvement in standards of living as well as an increase in awareness of meat nutritive values. To ensure public health, therefore, there is a need for a rise in worldwide meat production and consumption. Further attention is also required as to how the safety and the quality of...
Article
Full-text available
Today, the important of growth models as an important management tool and factors affecting them is clear. So, in this study, factors affecting the growth models were examined. Data from 256 permanent sample plots for the years 2003 and 2012 of Kheyroud Forest was used. First, the relationship between topographic factors including slope, direction...
Article
In this study, techno-economic comparison of three different biodiesel production scenarios integrated with glycerol supercritical water reforming (SCWR) process to produce electricity is conducted. In the first scenario, biodiesel is synthesized from acid-pretreated waste cooking oil (WCO) in the presence of alkali catalyst. In the second scenario...
Article
In microwave heating process, electric field intensity is the main parameter that controls the temperature rise in the material. With this parameter and available material properties, temperature changes are predictable. In this study, a new setup based on a domestic microwave oven was developed and uniform microwave radiation at 2450 MHz was lunch...
Article
The best available controlled technology for transforming the disposal of animal by-products and mortalities is rendering. Two aspects of rendering process are mentioned in this research; product quality and emissions. A model of batch cooker with temperature, pressure and agitator speed controllers was designed and developed in order to optimize t...
Conference Paper
Full-text available
The aim of this study is the growth profile definition and yield modeling via time series analysis extracted from Landsat7 satellite images in Imam Khomeini agri industry. Overall 474 Landsat 7 satellite images from March 2001 to February 2017 were used. All images were calibrated using ENVI5.3 software and were converted to surface reflectance via...
Article
Full-text available
Managing the production of greenhouse products requires knowledge of controlling many environmental factors and plant nutrition and fight against pests and plant diseases. Recognition pests and fight against them is one of the most important activities in the process of production of greenhouse products. Pre-knowledge of the demographic density of...
Article
Full-text available
Global warming and air pollution concerns make renewable energies inevitable. Thermoelectric (TE) generators-solid-state devices which can convert thermal energy into electricity-are one of the candidates to capture the energy of the sun's rays. Impact of high thermal on flat panel Solar Thermoelectric Generator (STEG) performance is known. In this...
Article
The use of statistical experimental models is common practical methods among forest resource managers. Regression analysis is a statistical method too, that can be used to estimate the volume. This method requires assumptions and limitations such as normal distribution of data, non-linear relationship and the same is the error of variances. The use...
Article
Full-text available
The authors regret that the first author affiliation was inserted mistakenly and it is corrected as follows: aDepartment of Biosystems Engineering, Faculty of Agriculture, Shahid Chamran University of Ahvaz, Ahvaz, Iran. The authors would like to apologize for any inconvenience caused.
Article
Full-text available
Life cycle assessment of food products is an appropriate method to understand the energy consumption and production of environmental burdens. Dairy production process has considerable effect on climate change in various ways, and the scale of these effects depends on the practices of dairy industry, dairy farmers and feed growers. This study examin...
Article
Installation layout of wind turbines plays a prominent role in the design of every wind farm. Thus, the wind farm layout optimization problem is proposed to maximize the total power output with the minimum cost. In this research, Kahrizak region in Tehran province of Iran is selected as a windy region and its real wind speed data are gleaned. Three...
Article
Full-text available
Access routes are the basic requirements to access recreational areas and tourism planning. The purpose of this study is designing and evaluating of forest road network in order to select the optimal road network for tourism development in Arasbaran protected area. For this purpose, recreational suitable areas were evaluated and identified using Ma...
Article
Full-text available
Sensitivity analysis establishes priorities for research and allows to identify and rank the most important factors which lead to great improvements in output factors. The aim of this study is to examine sensitivity analysis of inputs in grape production. We are proposing to perform sensitivity analysis using partial rank correlation coefficient (P...
Article
Full-text available
In terms of environmental aspects, in the current situation there are no significant differences between ethanol and diesel. But if bagass is used to generate electricity, the environmental impact of ethanol production will reach reduced by 10%. Greenhouse gas emissions of ethanol is 60% lower than that of from diesel and this amount will be 70%, i...
Conference Paper
Full-text available
The dielectric is an electric insulator that can be polarized by applying an electric field, and the product inside the dielectric is considered as a dielectric insulation material. The dielectric properties include dielectric coefficients (constant and Losing factor), and also the dielectric properties depend not only on temperature and frequency...
Article
Full-text available
Introduction: Industrial activities growth and increasing emissions getting attention to environmental problems in the world. Unpleasant smell (malodor) can be classified as pollutants that had negative impact on quality of life. About one third to half of animal products that are unusable for humans are used as raw materials in the processing and...
Article
One of the major issues in food industry is automatic sorting of chicken portions. In the present study, we propose a new on-line method based on combined machine vision techniques and linear and nonlinear classifiers to categorise chicken portions automatically. Mechanical framework, conveyor belt, electrical and control units, lighting box, charg...
Article
Full-text available
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 281...
Article
Full-text available
The main jobbery way in olive oil adulteration is mixing with other vegetable oils such as maize, canola, sunflower and soy oil. Therefore, the aim of this study was to evaluate a portable system to detect adulteration in olive oil using a combination of machine vision and capacitive method. To identify adulteration in olive oil by using frequency...
Article
The incorporation of environmental criteria into the conventional supplier selection practices is essential