Mahmoud Omid

University of Tehran | UT · Agricultural Machinery Engineering

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...

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...

This study is focused on evaluating the potential of deep neural networks for assessing soil properties based on VIS–NIR spectroscopy with spectral wavelength ranges of 350–2500 nm and 10 nm resolution on a global scale. The dataset was provided by the ICRAF-ISRIC soil spectral library and consists of 4438 samples from 58 countries. In This researc...

Potato chips are popular high-consuming ready-to-eat meals in all of the world which specially attract a lot of attention from youth and children. Reducing oil absorption and improving the quality of chips are major undertakings within the industry. This research aimed to find the best ultrasonic bath-based method by investigating the optimal ultra...

Land suitability is a crucial factor in land use planning and sustainable agricultural production. Evaluating land suitability helps optimize land use, promote sustainable land use, protect the environment, and ensure optimal use of natural resources. This study was conducted in the Abiek region of Qazvin province in northwest Iran, covering an are...

This study investigated the application of ultrasound (US) and modified atmosphere packaging (MAP), alone and in combination, on the mechanical and physicochemical properties and appearance of button mushrooms to increase their shelf-life. The mushrooms were treated with US (40 kHz, 100 W) for 5, 10, and 15 min; packaged in modified atmosphere of 1...

This research aims to develop a novel deep learning-based model for predicting soil properties based on visible and near-infrared (VIS-NIR) spectroscopy data. Soil samples were collected from the European topsoil dataset provided by the LUCAS project provides various soil physicochemical properties analyzed within 28 EU countries (including sand, s...

Predicting soil properties and evaluating their functions along with their related driving factors is useful for providing useful geographical information for soil management, which is especially important in arid and semi-arid regions. This study investigates the use of a structural equation modeling (SEM) approach for assessing the effects of soi...

Aim of study: Nigella sativa L. seeds usually are mixed with impurities, which affect its quality and influences consumer acceptance in both raw seeds and the oil market. In this study, an intelligent system based on the combination of machine vision (MV) and artificial neural networks (ANN) was developed to classify and clean N. sativa seeds and i...

Buildings and households contribute a lot to energy usage and gas emissions. The goal of this paper is to model and study theoretically a trigeneration solar system to meet the household energy demands. Also, a reliable network is trained to forecast the functionality of the presented system under various weather conditions to replace the time-cons...

Timely and rapid monitoring of apple trees nutrition status is vital for accurate management of nutrient fertilizers in order to improve the yield and quality, as well as to reduce the risk of environmental degradation. As a most frequently used method, tissue analysis used to assess the nutritional status of apple tree leaves is laborious, costly,...

Purpose: In some orchards in the harvest season, the pomegranates are suspected to carob moth infestation. Visible infested fruits are removed but there is a possibility of hidden infestation. The effect of microwave heating on this hidden infestation was investigated in this study. Research Method: The mature pomegranate fruits were artificially i...

Investigation of soil organic carbon stock (SOCS) in agricultural lands and the role of factors affecting its variability and digital modeling are important for predicting possible scenarios of future carbon stock. The purpose of this study was to investigate the spatial variability and to estimate SOCS at 0 to 100 cm depth based on two generation...

Estimating the surface area of defects of diseased potatoes is a key factor in the automatic grading of this product. In this article, an algorithm has been developed using fuzzy clustering method and image processing functions to estimate the defective areas of potato tubers infected with black scab disease. Fuzzy clustering, which is an unsupervi...

Monitoring the main compositions of milk content like fat, lactose, protein and total solids, has become a major challenge in dairy cattle farming. For quantitative determination of fat content in milk based on the relation of milk color features different methods have been used, but long time, high cost, and need for experts for analysis are some...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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.

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...

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...

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...

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...