vali rasooli sharabiani | Mohaghegh Ardabili University (original) (raw)
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Papers by vali rasooli sharabiani
Reduction of energy consumption is important for reaching a sustainable future. This paper presen... more Reduction of energy consumption is important for reaching a sustainable future. This paper presents a novel method for optimizing the energy consumption of robotic manufacturing systems. The method embeds detailed evaluations of robots' energy consumptions into a scheduling model of the overall system. The energy consumption for each operation is modeled and parameterized as function of the operation execution time, and the energy-optimal schedule is derived by solving a mixed-integer nonlinear programming problem. The objective function for the optimization problem is then the total energy consumption for the overall system. A case study of a sample robotic manufacturing system and an experiment on an industrial robot are presented. They show that there exists a real possibility for a significant reduction of the energy consumption in comparison to state-of-the-art scheduling approaches.
![Research paper thumbnail of Development of a Real-time Optical Sensor for Detecting Wheat Growth Status [an abstract of dissertation and a summary of dissertation review]](https://attachments.academia-assets.com/113747365/thumbnails/1.jpg)
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Technology of precision agriculture has caused to the remote sensors development that compute Nor... more Technology of precision agriculture has caused to the remote sensors development that compute Normalized Difference Vegetation Index (NDVI) parameters. Vegetation indices obtained from remote sensing data can help to summarize climate conditions. Artificial Neural Networks (ANNs), as a soft computing methods, are one of the most efficient methods for computing as compared to the statistical and analytical techniques for spectral data. This study was employed experimental radial basis function (RBF) of ANN models and adaptive neural-fuzzy inference system (ANFIS) to design the network in order to predict the soil plant analysis development (SPAD), protein content and grain yield of wheat plant based on spectral reflectance value and to compare two models. Results indicated that the obtained results of RBF method with high average correlation coefficient (0.984, 0.981 and 0.9807 in 2015 for SPAD, yield and protein, respectively and 0.979, 0.9805 and 0.984 in 2016) and low RMSE (0.271, 103.315 and 0.111 in 2015 for SPAD, yield and protein, respectively and 0.407, 105.482 and 0.121 in 2016) has the high accuracy and high performance compared to ANFIS models.
International Agrophysics
In order to accurately determine and evaluate the odour of rice, it is necessary to identify the ... more In order to accurately determine and evaluate the odour of rice, it is necessary to identify the substances that affect that odour and to develop methods to determine their amounts. For more than three decades, researchers have been studying the factors that produce and influence the aroma of rice. An electronic nose can be used to detect the volatile compounds of rice, while an olfactory machine is capable of classifying and detecting the variety, origin, and storage time of rice with a high degree of efficiency. This study aimed to investigate the efficacy of electronic noses and other chemometric methods such as principal component analysis, linear discriminant analysis, and the Artificial Neural Network as a cost-effective, rapid, and non-destructive method for the detection of pure and adulterated rice varieties. Therefore, an electronic nose equipped with nine metal oxide semiconductor sensors with low power consumption was used. The results showed that the amount of variance accounted for by PC1 and PC4 was 98% for the samples used. Also, the classification accuracy of the linear discriminant analysis and Artificial Neural Network methods were 100%, respectively. The Support Vector Machines method (including Nu-SVM and C-SVM) was also used, which, in all its functions except the polynomial function, produced 100% accuracy in terms of training and validation.
Food Science and Technology International, 2019
Application of variable rate technology (VRT) of fertilizer on the farm is a major pillar of prod... more Application of variable rate technology (VRT) of fertilizer on the farm is a major pillar of production accurate management that increases fertilization efficiency and reduces environmental pollution. The main purpose of this study is to investigate the possibility of determining of tomato nitrogen deficiency during the growing season using a digital camera and digital image processing. Using these methods causes less damage to the plant. Though, using this technology requires accurate and continuous determination of plant nitrogen status on the farm during of growth stages. Therefore 18 plots of Spring tomato by six different levels of fertilization (0, 60, 120, 180, 240, 300 Kg/ha) with three repetition in completely randomized designs were sown in plastic pots with a diameter of 25 cm. It was attempted to be fertilized after the growing wheat in generative step of plant. The nitrogen content of leaves was measured by two methods; 1-using chlorophyll meter (SPAD) and 2- doing Kjel...
Each variety has own special advantages; so variety recognition or ensuring from validity of pres... more Each variety has own special advantages; so variety recognition or ensuring from validity of presented variety is very important in all farming stages and most importantly in postharvest stage; because it is effective immediately in harvested yield and the quality of processed products. Available techniques for rice variety identification are time consuming and expensive; also there are destructive. So study and presentation of new methods sounds necessary. Therefor the aim of this reaserch was extraction of color, morphological and texture properties for thirteen common varieties of Iranian rice and classification them using computational intelligence. In this research, digital images of twelve common rice varieties in Iran acquisitioned at three states including paddy, brown rice and white rice. After the preprocessing and segmentation processes on images using MATLAM software ninety two properties extracted for each rise seed; contain sixty color properties, fourteen morphologica...
Sensors and Actuators B: Chemical
Journal of Agricultural Machinery, 2019
Energy is an essential component in the process of economic development, and the optimal use of e... more Energy is an essential component in the process of economic development, and the optimal use of energy is one of the basic requirements of sustainable agriculture. Increasing demand for food due to increased population will result in excessive use of chemical fertilizers, agricultural machinery, insecticides and other inputs that will ultimately cause environmental problems and threaten public health. Slow The use of energy from work will minimize environmental problems, prevent the destruction of natural resources, and promote sustainable agriculture as an economic production system. To find the practical relationship between inputs and outputs of a production process, the network Neuro-phase is one of the most widely used mathematical models. In this study, modeling and its methods have been used to study the results of energy consumption model in agricultural production, especially greenhouse cucumber production. The results of various studies, using different types of methods fo...
Today, considering the growing world population and the need to produce more food, to increase pr... more Today, considering the growing world population and the need to produce more food, to increase production, appropriate technologies in agriculture, or correct agricultural mechanization, should be selected. The purpose of this research is to determine the quality of agricultural machinery, in order to be effective in different parts of Parsabad city. In order to know the current status of mechanization and provide a proper strategy, Parsabad city include of 15 towns with 126845 hectares under cultivation and 1323 tractors under 13 years of age and 298 tractors with a life span of more than 13 years was investigated in field. The results showed that the level of mechanization in Parsabad city is 0.61 horsepower per hectare, which indicates a shortage in the traction power of the region. In order to reach the standard limit of 1 horsepower per hectare in the country, 48342 horsepower should be added to the traction power of the area. The city of Aqdan with mechanization level of 0.01 ...
Lycopene and vitamin C are two vital compositions of tomatoes. Analytical quantification of these... more Lycopene and vitamin C are two vital compositions of tomatoes. Analytical quantification of these components using common destructive methods is expensive and time consuming. In this study, the feasibility of using near-infrared (NIR) spectroscopy at the range of 930-1650nm was assessed to measure the lycopene and vitamin C contents of intact cv. Newton tomatoes. To develop prediction models based on spectral data and analytical measurements achieved using common destructive methods, partial least squares (PLS) regression was utilized. Before modeling, some pre-processing techniques were also used to reduce the irrelevant data from the spectra. The prediction accuracy of the models was evaluated using root mean square error of cross validation (RMSECV), correlation coefficient (rcv) and residual predictive deviation (RPD). The best prediction models had RMSECV of 2.256 μg g-1 and 1.087 mg 100g-1, rcv of 0.840 and 0.818, and RPD of 1.835 and 1.701 for lycopene and vitamin C contents,...
Today, considering the growing world population and the need to produce more food, to increase pr... more Today, considering the growing world population and the need to produce more food, to increase production, appropriate technologies in agriculture, or correct agricultural mechanization, should be selected. Understanding the quantitative status of agricultural machinery, in order to be effective in different parts of Pars Abad city, is the purpose of this research. In order to know the status of existing mechanization and provide a suitable strategy, Pars Abad County consists of 15 cities with 39361 hectares that is under wheat (blue and rain) planting was surveyed. The results indicate that the degree of mechanization of Pars-Abad city for linear planter is 100%, which indicates the increase of awareness of the farmers of the region from the benefits of linearity. The degree of mechanization for different operations of wheat planting is different, so that the cultivation operation of linear planter with 100% and cultivation operation with 52% had the highest and lowest degree of me...
With increasing in world population to over 10 billion, by the year 2050, growth in agricultural ... more With increasing in world population to over 10 billion, by the year 2050, growth in agricultural output needs to be continued. On the other hand use of chemical fertilizer, herbicides and pesticides for high performance in crop production in recent years made many issues such as environment pollution, decreasing in product quality and increasing in costs. Therefore, considering this, variable rate technology and autonomous vehicles application in precision agriculture is one of the main issues to be regarded noteworthy toimprove the efficiency. As most crops are cultivated in rows, animportant step towards this long-term goal is the development of a row-recognition system,which will allow a robot to accurately follow a row of plants.This research aimed to explain a field sensing system capable of performing threedimensional (3D) field mapping for measuring crop height and volume and detecting croprows in 3D for reliable tractor guidance using one tractor-mounted stereo-camera.
Reduction of energy consumption is important for reaching a sustainable future. This paper presen... more Reduction of energy consumption is important for reaching a sustainable future. This paper presents a novel method for optimizing the energy consumption of robotic manufacturing systems. The method embeds detailed evaluations of robots' energy consumptions into a scheduling model of the overall system. The energy consumption for each operation is modeled and parameterized as function of the operation execution time, and the energy-optimal schedule is derived by solving a mixed-integer nonlinear programming problem. The objective function for the optimization problem is then the total energy consumption for the overall system. A case study of a sample robotic manufacturing system and an experiment on an industrial robot are presented. They show that there exists a real possibility for a significant reduction of the energy consumption in comparison to state-of-the-art scheduling approaches.
Technology of precision agriculture has caused to the remote sensors development that compute Nor... more Technology of precision agriculture has caused to the remote sensors development that compute Normalized Difference Vegetation Index (NDVI) parameters. Vegetation indices obtained from remote sensing data can help to summarize climate conditions. Artificial Neural Networks (ANNs), as a soft computing methods, are one of the most efficient methods for computing as compared to the statistical and analytical techniques for spectral data. This study was employed experimental radial basis function (RBF) of ANN models and adaptive neural-fuzzy inference system (ANFIS) to design the network in order to predict the soil plant analysis development (SPAD), protein content and grain yield of wheat plant based on spectral reflectance value and to compare two models. Results indicated that the obtained results of RBF method with high average correlation coefficient (0.984, 0.981 and 0.9807 in 2015 for SPAD, yield and protein, respectively and 0.979, 0.9805 and 0.984 in 2016) and low RMSE (0.271, 103.315 and 0.111 in 2015 for SPAD, yield and protein, respectively and 0.407, 105.482 and 0.121 in 2016) has the high accuracy and high performance compared to ANFIS models.
International Agrophysics
In order to accurately determine and evaluate the odour of rice, it is necessary to identify the ... more In order to accurately determine and evaluate the odour of rice, it is necessary to identify the substances that affect that odour and to develop methods to determine their amounts. For more than three decades, researchers have been studying the factors that produce and influence the aroma of rice. An electronic nose can be used to detect the volatile compounds of rice, while an olfactory machine is capable of classifying and detecting the variety, origin, and storage time of rice with a high degree of efficiency. This study aimed to investigate the efficacy of electronic noses and other chemometric methods such as principal component analysis, linear discriminant analysis, and the Artificial Neural Network as a cost-effective, rapid, and non-destructive method for the detection of pure and adulterated rice varieties. Therefore, an electronic nose equipped with nine metal oxide semiconductor sensors with low power consumption was used. The results showed that the amount of variance accounted for by PC1 and PC4 was 98% for the samples used. Also, the classification accuracy of the linear discriminant analysis and Artificial Neural Network methods were 100%, respectively. The Support Vector Machines method (including Nu-SVM and C-SVM) was also used, which, in all its functions except the polynomial function, produced 100% accuracy in terms of training and validation.
Food Science and Technology International, 2019
Application of variable rate technology (VRT) of fertilizer on the farm is a major pillar of prod... more Application of variable rate technology (VRT) of fertilizer on the farm is a major pillar of production accurate management that increases fertilization efficiency and reduces environmental pollution. The main purpose of this study is to investigate the possibility of determining of tomato nitrogen deficiency during the growing season using a digital camera and digital image processing. Using these methods causes less damage to the plant. Though, using this technology requires accurate and continuous determination of plant nitrogen status on the farm during of growth stages. Therefore 18 plots of Spring tomato by six different levels of fertilization (0, 60, 120, 180, 240, 300 Kg/ha) with three repetition in completely randomized designs were sown in plastic pots with a diameter of 25 cm. It was attempted to be fertilized after the growing wheat in generative step of plant. The nitrogen content of leaves was measured by two methods; 1-using chlorophyll meter (SPAD) and 2- doing Kjel...
Each variety has own special advantages; so variety recognition or ensuring from validity of pres... more Each variety has own special advantages; so variety recognition or ensuring from validity of presented variety is very important in all farming stages and most importantly in postharvest stage; because it is effective immediately in harvested yield and the quality of processed products. Available techniques for rice variety identification are time consuming and expensive; also there are destructive. So study and presentation of new methods sounds necessary. Therefor the aim of this reaserch was extraction of color, morphological and texture properties for thirteen common varieties of Iranian rice and classification them using computational intelligence. In this research, digital images of twelve common rice varieties in Iran acquisitioned at three states including paddy, brown rice and white rice. After the preprocessing and segmentation processes on images using MATLAM software ninety two properties extracted for each rise seed; contain sixty color properties, fourteen morphologica...
Sensors and Actuators B: Chemical
Journal of Agricultural Machinery, 2019
Energy is an essential component in the process of economic development, and the optimal use of e... more Energy is an essential component in the process of economic development, and the optimal use of energy is one of the basic requirements of sustainable agriculture. Increasing demand for food due to increased population will result in excessive use of chemical fertilizers, agricultural machinery, insecticides and other inputs that will ultimately cause environmental problems and threaten public health. Slow The use of energy from work will minimize environmental problems, prevent the destruction of natural resources, and promote sustainable agriculture as an economic production system. To find the practical relationship between inputs and outputs of a production process, the network Neuro-phase is one of the most widely used mathematical models. In this study, modeling and its methods have been used to study the results of energy consumption model in agricultural production, especially greenhouse cucumber production. The results of various studies, using different types of methods fo...
Today, considering the growing world population and the need to produce more food, to increase pr... more Today, considering the growing world population and the need to produce more food, to increase production, appropriate technologies in agriculture, or correct agricultural mechanization, should be selected. The purpose of this research is to determine the quality of agricultural machinery, in order to be effective in different parts of Parsabad city. In order to know the current status of mechanization and provide a proper strategy, Parsabad city include of 15 towns with 126845 hectares under cultivation and 1323 tractors under 13 years of age and 298 tractors with a life span of more than 13 years was investigated in field. The results showed that the level of mechanization in Parsabad city is 0.61 horsepower per hectare, which indicates a shortage in the traction power of the region. In order to reach the standard limit of 1 horsepower per hectare in the country, 48342 horsepower should be added to the traction power of the area. The city of Aqdan with mechanization level of 0.01 ...
Lycopene and vitamin C are two vital compositions of tomatoes. Analytical quantification of these... more Lycopene and vitamin C are two vital compositions of tomatoes. Analytical quantification of these components using common destructive methods is expensive and time consuming. In this study, the feasibility of using near-infrared (NIR) spectroscopy at the range of 930-1650nm was assessed to measure the lycopene and vitamin C contents of intact cv. Newton tomatoes. To develop prediction models based on spectral data and analytical measurements achieved using common destructive methods, partial least squares (PLS) regression was utilized. Before modeling, some pre-processing techniques were also used to reduce the irrelevant data from the spectra. The prediction accuracy of the models was evaluated using root mean square error of cross validation (RMSECV), correlation coefficient (rcv) and residual predictive deviation (RPD). The best prediction models had RMSECV of 2.256 μg g-1 and 1.087 mg 100g-1, rcv of 0.840 and 0.818, and RPD of 1.835 and 1.701 for lycopene and vitamin C contents,...
Today, considering the growing world population and the need to produce more food, to increase pr... more Today, considering the growing world population and the need to produce more food, to increase production, appropriate technologies in agriculture, or correct agricultural mechanization, should be selected. Understanding the quantitative status of agricultural machinery, in order to be effective in different parts of Pars Abad city, is the purpose of this research. In order to know the status of existing mechanization and provide a suitable strategy, Pars Abad County consists of 15 cities with 39361 hectares that is under wheat (blue and rain) planting was surveyed. The results indicate that the degree of mechanization of Pars-Abad city for linear planter is 100%, which indicates the increase of awareness of the farmers of the region from the benefits of linearity. The degree of mechanization for different operations of wheat planting is different, so that the cultivation operation of linear planter with 100% and cultivation operation with 52% had the highest and lowest degree of me...
With increasing in world population to over 10 billion, by the year 2050, growth in agricultural ... more With increasing in world population to over 10 billion, by the year 2050, growth in agricultural output needs to be continued. On the other hand use of chemical fertilizer, herbicides and pesticides for high performance in crop production in recent years made many issues such as environment pollution, decreasing in product quality and increasing in costs. Therefore, considering this, variable rate technology and autonomous vehicles application in precision agriculture is one of the main issues to be regarded noteworthy toimprove the efficiency. As most crops are cultivated in rows, animportant step towards this long-term goal is the development of a row-recognition system,which will allow a robot to accurately follow a row of plants.This research aimed to explain a field sensing system capable of performing threedimensional (3D) field mapping for measuring crop height and volume and detecting croprows in 3D for reliable tractor guidance using one tractor-mounted stereo-camera.