Various methods have been performed to control weeds in the world and the use of herbicides is one of them, but public concerns about human health have changed interest in alternative methods. Thermal methods based on flame-weeder, hot air, steam, and hot water have the potential to control weeds, but due to the high cost are not economical. Electromagnetic waves transfer energy into weeds and finally destroy them. The effect of radiation on plant mutation, high consumption of energy, and human health are problems for this approach. Unlike other methods, electrical energy is an ideal and non-chemical method for weeds. This method applies high voltage to weeds, their roots, and soil so that electric currents pass through them, and the vaporization of the liquid content of weeds kills the weeds. To increase the severity of damage to weeds, the development of a feedback mechanism is required. The ultrasonic sensor measuring physical parameters like plant height is a simple method. Some complex sensing systems include optical sensors such as infrared, and machine vision that require high-speed processors and expensive equipment. In this project, as a simple method, the monitoring of the electrical current passing through weeds was used for developing the feedback mechanism and increasing electric damage to weeds.
Parameters affecting the selectivity of an electrical insecticideIJECEIAES
Using an electrical approach in the field of agriculture can be considered as one of the solutions in order to control harmful flying insects. This technique is based on the use of a bio and selective electrical insecticide whose principle consists in attracting insects by the light then get them electrocuted by an electrical discharge. Moreover, There are several parameters that affect the selectivity of electrical insecticide such as: the light, the most efficient, the inter electrode distance, where the insect is exterminated, and the electric current that passes through the insect’s body. In this paper, a simulation study was carried out concerning the distribution of the electric field between two electrodes in presence of particle conductor while focusing on the different body sizes. On the other hand, an experimental study was conducted on live locusts to determine the effect of electrical current on insect’s body taking into account the voltage and frequency. Finally, the results are discussed and analyzed in this paper.
Effects of EM Radiation on Living SystemIOSR Journals
Abstract : Electrical excitability and signaling frequently associated with rapid responses to environmental stimuli, as well as in some algae and some higher plants. The presence of electrical signal, such as action potentials (AP) in plant cells suggested that plant cells, too, make use of ion channels to transmit information over long distances. In the light of rapid progress in plant biology during the past decade, the assumption the electrical signals donot only trigger rapid leaf movements in sensitive plant such as mimosa pudica, the electromagnetic radiations may also cause effect on mechanical and electrical stimulis. Summarizing recent progress in the field of electromagnetic radiation on plants, the present review will focus on the mechanical and electrical stimuli of plants. Keywords – Electromagnetic radiation, Electrical signal, Mimosa pudica, Mechanical and electrical stimulis.
Effects of EM Radiation on Living System IOSR Journals
Electrical excitability and signaling frequently associated with rapid responses to environmental
stimuli, as well as in some algae and some higher plants. The presence of electrical signal, such as action
potentials (AP) in plant cells suggested that plant cells, too, make use of ion channels to transmit information
over long distances. In the light of rapid progress in plant biology during the past decade, the assumption the
electrical signals donot only trigger rapid leaf movements in sensitive plant such as mimosa pudica, the
electromagnetic radiations may also cause effect on mechanical and electrical stimulis. Summarizing recent
progress in the field of electromagnetic radiation on plants, the present review will focus on the mechanical and
electrical stimuli of plants.
Electrical impedance’s effects of flying insects on selectivity of electrica...IJECEIAES
The history of controlling destructive insects in the twentieth century makes
it clear that the difficulties we encounter today in dealing with these types of
insects come from our almost total reliance on one single controlling
method, namely the use of chemical insecticides. These toxic and suspected
carcinogenic products pose a serious threat to agriculture and the
environment. However, the possibility of directing researchers in developing
a new way considered as more efficient, more selective and less toxic has
proved to be possible. The principle of this approach is based on an
attractive effect and an electric effect. Nevertheless, the development of a
bio and selective electrical system requires taking into account certain
parameters involved in the attraction of insects and electrical discharge such
as the electrical impedance. The results showed that the threshold at which
the insect is disturbed depends on its conductivity.
Control of metabolic activities of E.coli and S. aureus bacteria by Electric ...researchinventy
Low electric currents generated using conductive electrodes have been used to increase the efficacy of antibiotics against bacterial biofilms, a phenomenon termed “the bioelectric effect” that formed metal ions and free radicals which can inhibit the growth of planktonic Staphylococcus aureus (S.aureus) and Escherichia Coli (E.Coli) the effect is amplitude and frequency dependent, the aim of present study to define the parameters that are most effective against bacterial growth also to investigate the comparative study through inactivation of metabolic activities, growth rate, morphology, bacterial conductivity and antibiotic sensitivity between gram negative E.Coli and gram positive S.aureus bacteria by extremely low frequency electric field (ELF-EF). In this work, the frequency of electric impulses that interfere with the bioelectric signals generated during E.Coli and S.aureus cellular division is investigated in order to compare cell viability, number of colony forming units (CFU) and growth rate (optical density at 600nm) bacterial conductivity and antibiotic susceptibility. Also morphological cellular structure was investigated by transmission electron microscope (TEM). The results revealed that a highly significant inhibition effect occurred when S.aureus and E.Coli was exposed to resonance of 0.8, 0.5 Hz square amplitude modulated waves (QAMW) respectively for 2hours exposure .Moreover, exposed cells became more sensitive to the tested antibiotics compared to control. Significant ultra-structural changes occurred as observed by TEM which indicated morphological changes. It will be concluded that, the use of 0.8, 0.5 Hz QAMW in controlling the biological activity of S.aureus and E.coli respectively seems to be a new and promising medical activity
Control of metabolic activities of E.coli and S. aureus bacteria by Electric ...inventy
Low electric currents generated using conductive electrodes have been used to increase the efficacy of antibiotics against bacterial biofilms, a phenomenon termed “the bioelectric effect” that formed metal ions and free radicals which can inhibit the growth of planktonic Staphylococcus aureus (S.aureus) and Escherichia Coli (E.Coli) the effect is amplitude and frequency dependent, the aim of present study to define the parameters that are most effective against bacterial growth also to investigate the comparative study through inactivation of metabolic activities, growth rate, morphology, bacterial conductivity and antibiotic sensitivity between gram negative E.Coli and gram positive S.aureus bacteria by extremely low frequency electric field (ELF-EF). In this work, the frequency of electric impulses that interfere with the bioelectric signals generated during E.Coli and S.aureus cellular division is investigated in order to compare cell viability, number of colony forming units (CFU) and growth rate (optical density at 600nm) bacterial conductivity and antibiotic susceptibility. Also morphological cellular structure was investigated by transmission electron microscope (TEM). The results revealed that a highly significant inhibition effect occurred when S.aureus and E.Coli was exposed to resonance of 0.8, 0.5 Hz square amplitude modulated waves (QAMW) respectively for 2hours exposure .Moreover, exposed cells became more sensitive to the tested antibiotics compared to control. Significant ultra-structural changes occurred as observed by TEM which indicated morphological changes. It will be concluded that, the use of 0.8, 0.5 Hz QAMW in controlling the biological activity of S.aureus and E.coli respectively seems to be a new and promising medical activity.
Parameters affecting the selectivity of an electrical insecticideIJECEIAES
Using an electrical approach in the field of agriculture can be considered as one of the solutions in order to control harmful flying insects. This technique is based on the use of a bio and selective electrical insecticide whose principle consists in attracting insects by the light then get them electrocuted by an electrical discharge. Moreover, There are several parameters that affect the selectivity of electrical insecticide such as: the light, the most efficient, the inter electrode distance, where the insect is exterminated, and the electric current that passes through the insect’s body. In this paper, a simulation study was carried out concerning the distribution of the electric field between two electrodes in presence of particle conductor while focusing on the different body sizes. On the other hand, an experimental study was conducted on live locusts to determine the effect of electrical current on insect’s body taking into account the voltage and frequency. Finally, the results are discussed and analyzed in this paper.
Effects of EM Radiation on Living SystemIOSR Journals
Abstract : Electrical excitability and signaling frequently associated with rapid responses to environmental stimuli, as well as in some algae and some higher plants. The presence of electrical signal, such as action potentials (AP) in plant cells suggested that plant cells, too, make use of ion channels to transmit information over long distances. In the light of rapid progress in plant biology during the past decade, the assumption the electrical signals donot only trigger rapid leaf movements in sensitive plant such as mimosa pudica, the electromagnetic radiations may also cause effect on mechanical and electrical stimulis. Summarizing recent progress in the field of electromagnetic radiation on plants, the present review will focus on the mechanical and electrical stimuli of plants. Keywords – Electromagnetic radiation, Electrical signal, Mimosa pudica, Mechanical and electrical stimulis.
Effects of EM Radiation on Living System IOSR Journals
Electrical excitability and signaling frequently associated with rapid responses to environmental
stimuli, as well as in some algae and some higher plants. The presence of electrical signal, such as action
potentials (AP) in plant cells suggested that plant cells, too, make use of ion channels to transmit information
over long distances. In the light of rapid progress in plant biology during the past decade, the assumption the
electrical signals donot only trigger rapid leaf movements in sensitive plant such as mimosa pudica, the
electromagnetic radiations may also cause effect on mechanical and electrical stimulis. Summarizing recent
progress in the field of electromagnetic radiation on plants, the present review will focus on the mechanical and
electrical stimuli of plants.
Electrical impedance’s effects of flying insects on selectivity of electrica...IJECEIAES
The history of controlling destructive insects in the twentieth century makes
it clear that the difficulties we encounter today in dealing with these types of
insects come from our almost total reliance on one single controlling
method, namely the use of chemical insecticides. These toxic and suspected
carcinogenic products pose a serious threat to agriculture and the
environment. However, the possibility of directing researchers in developing
a new way considered as more efficient, more selective and less toxic has
proved to be possible. The principle of this approach is based on an
attractive effect and an electric effect. Nevertheless, the development of a
bio and selective electrical system requires taking into account certain
parameters involved in the attraction of insects and electrical discharge such
as the electrical impedance. The results showed that the threshold at which
the insect is disturbed depends on its conductivity.
Control of metabolic activities of E.coli and S. aureus bacteria by Electric ...researchinventy
Low electric currents generated using conductive electrodes have been used to increase the efficacy of antibiotics against bacterial biofilms, a phenomenon termed “the bioelectric effect” that formed metal ions and free radicals which can inhibit the growth of planktonic Staphylococcus aureus (S.aureus) and Escherichia Coli (E.Coli) the effect is amplitude and frequency dependent, the aim of present study to define the parameters that are most effective against bacterial growth also to investigate the comparative study through inactivation of metabolic activities, growth rate, morphology, bacterial conductivity and antibiotic sensitivity between gram negative E.Coli and gram positive S.aureus bacteria by extremely low frequency electric field (ELF-EF). In this work, the frequency of electric impulses that interfere with the bioelectric signals generated during E.Coli and S.aureus cellular division is investigated in order to compare cell viability, number of colony forming units (CFU) and growth rate (optical density at 600nm) bacterial conductivity and antibiotic susceptibility. Also morphological cellular structure was investigated by transmission electron microscope (TEM). The results revealed that a highly significant inhibition effect occurred when S.aureus and E.Coli was exposed to resonance of 0.8, 0.5 Hz square amplitude modulated waves (QAMW) respectively for 2hours exposure .Moreover, exposed cells became more sensitive to the tested antibiotics compared to control. Significant ultra-structural changes occurred as observed by TEM which indicated morphological changes. It will be concluded that, the use of 0.8, 0.5 Hz QAMW in controlling the biological activity of S.aureus and E.coli respectively seems to be a new and promising medical activity
Control of metabolic activities of E.coli and S. aureus bacteria by Electric ...inventy
Low electric currents generated using conductive electrodes have been used to increase the efficacy of antibiotics against bacterial biofilms, a phenomenon termed “the bioelectric effect” that formed metal ions and free radicals which can inhibit the growth of planktonic Staphylococcus aureus (S.aureus) and Escherichia Coli (E.Coli) the effect is amplitude and frequency dependent, the aim of present study to define the parameters that are most effective against bacterial growth also to investigate the comparative study through inactivation of metabolic activities, growth rate, morphology, bacterial conductivity and antibiotic sensitivity between gram negative E.Coli and gram positive S.aureus bacteria by extremely low frequency electric field (ELF-EF). In this work, the frequency of electric impulses that interfere with the bioelectric signals generated during E.Coli and S.aureus cellular division is investigated in order to compare cell viability, number of colony forming units (CFU) and growth rate (optical density at 600nm) bacterial conductivity and antibiotic susceptibility. Also morphological cellular structure was investigated by transmission electron microscope (TEM). The results revealed that a highly significant inhibition effect occurred when S.aureus and E.Coli was exposed to resonance of 0.8, 0.5 Hz square amplitude modulated waves (QAMW) respectively for 2hours exposure .Moreover, exposed cells became more sensitive to the tested antibiotics compared to control. Significant ultra-structural changes occurred as observed by TEM which indicated morphological changes. It will be concluded that, the use of 0.8, 0.5 Hz QAMW in controlling the biological activity of S.aureus and E.coli respectively seems to be a new and promising medical activity.
Optimal design of CMOS current mode instrumentation amplifier using bio-inspi...nooriasukmaningtyas
Analog integrated circuits for biomedical applications require good performance. This paper presents an instrumentation amplifier (IA) design based on three complementary metal oxide semiconductor (CMOS) conveyors with an active resistor. This circuit offers the possibility to control the gain by voltage and current. We have designed the IA to minimize the parasitic resistance (Rx) with large bandwidth and high common mode rejection ratio (CMRR) using the artificial bee colony algorithm (ABC). The topology is simulated using 0.35µm CMOS technology parameters. The optimization problem is represented by an objective function that will be implemented using MATLAB script. The results were approved by the simulation using the advanced design system (ADS) tool. The simulation results were compared to the characteristics of some other instrumentation amplifiers exsisting in the literature. The circuit has a higher CMRR than other topologies.
Survey of emf emitted by lab equipments in pharmacy labs of southeast univers...eSAT Journals
Abstract The aim of this survey is to investigate whether the Electromagnetic Fields (EMF) emitted by various lab equipments affects the students. There is a standard threshold value recommended by WHO for both electric and magnetic fields. Electro-Magnetic Fields commonly known as Non Ionizing Radiation is emitted from high power transmission lines, computer monitor/video display unit, radio waves of different frequencies (extremely low frequency to microwaves), telecommunication, satellite, radar etc. which causes health hazards to living system and environment. The WHO/ International Agency for Research in Cancer (IARC) has classified radio frequency electromagnetic field as possibly carcinogenic to humans. There has been no such study performed in Bangladesh. The data were collected from various labs of department of pharmacy at Southeast University in Dhaka, Bangladesh. These labs are Pharmaceutical, Cosmetology and Biopharmaceutical Lab, Pharmacology Lab, Organic Pharmacy and Pharmacognosy Lab, Inorganic Pharmacy Lab and Microbiology Research Lab. Both threshold values of Electric and Magnetic fields were measured for various electronic equipments. Also the maximum value of the magnetic field results showed that in many cases the magnetic field radiated from the different sources are greater than the threshold limit which are the main point of our findings. As a result of the long time efforts of world scientist community WHO formed ICNIRP in 1969. Key Words: EMF, NIR, DNA, EMC, AML and ICNIRP
Mems Based Motor Fault Detection in Windmill Using Neural NetworksIJRES Journal
Today wind turbine technology is one of the fastest growing power generation technologies operating in large numbers at harsh and difficult environment sites and it is difficult to monitor each and every windmill separately. There are times when faults occur in motors of windmills are not detected in earlier stage and we come to know about damage when motor gets fully damaged. Here we using wireless monitoring based on MEMS accelerometer sensor which senses the vibrations occurring in the motor and based on the severity of vibrations, sensor sends the data to the controlling unit to take further action. Neural network based work is included to get the accurate and precise vibratory signals to detect fault at a very early stage to avoid full damage to the motor.
Today wind turbine technology is one of the fastest growing power generation technologies operating in large numbers at harsh and difficult environment sites and it is difficult to monitor each and every windmill separately. There are times when faults occur in motors of windmills are not detected in earlier stage and we come to know about damage when motor gets fully damaged. Here we using wireless monitoring based on MEMS accelerometer sensor which senses the vibrations occurring in the motor and based on the severity of vibrations, sensor sends the data to the controlling unit to take further action. Neural network based work is included to get the accurate and precise vibratory signals to detect fault at a very early stage to avoid full damage to the motor.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
ANALYSIS OF VARIOUS COMPENSATION DEVICES FOR POWER QUALITY IMPROVEMENT IN WIN...IAEME Publication
In recent trend, the renewable source of energy is increasingly used in the electric power generation, which leads to certain power quality issues. Hence some of the supplementary devices like capacitors, compensators or reactive power injection devices are added to the compensation system. With the advancement in power electronics, compensating devices such as Distribution Static Compensator (DSTATCOM), Unified Power Quality Conditioner (UPQC), Dynamic Voltage Restorer (DVR), Static Var Compensator (SVC) etc. are used. In this paper, the characteristics of three important compensating devices DVR, UPQC and DSTATCOM are analysed. Initially these devices are modelled and their performance is analysed with common power quality problems such as voltage sag, swell and harmonics. The overall outcome suggests that the performance of the DSTATCOM is comparatively better than that of the other two devices, which become the most suitable device for power quality improvement in wind energy system.
Harmonic Voltage Distortions in Power Systems Due to Non Linear LoadsIJAPEJOURNAL
Harmonics are found to have deleterious effects on power system equipments including transformers, capacitor banks, rotating machines, switchgears and protective relays. Transformers, motors and switchgears may experience increased losses and excessive heating. Shunt filters are effective in minimizing voltage distortions. This paper describes the voltage distortions generated by non linear loads. The harmonic specifications such as harmonic factor, characteristic harmonic and non-characteristic harmonic are considered while explaining the paper. ‘MiPower’ software is used to compute the harmonic distortions in a sample power system. Accurate harmonic models are established for a non linear load. To reduce the harmonic voltages impressed upon specific parts of the sample power system, passive filters are installed at two buses. With the implementation of a passive filter at the bus with non linear load, the harmonics are greatly reduced. For the specified power system, at all the buses the total harmonic distortion has been evaluated.
A hybrid power system which consists of PV-arrays and wind turbines with energy storing devices (battery
bank) and power electronic devices has been discussed in this paper to achieve an efficient and cost
competitive system configuration so that hybrid power sources could improve the life of people especially in
rural areas where electricity from the main grid has not reached yet
Key words: Renewable energy, PV panel, Battery, Hybrid system
Design Fuzzy-PI Based Controller for Load Frequency Control of Thermal - Ther...ijtsrd
This paper presents how to design proportional integral controller and Fuzzy-PI based controller for efficiently load frequency control. Loads on the electrical system always vary in relation to that time, which results in diversity of frequency, causing frequency control problems to be loaded. The frequency difference is highly undesirable and the maximum allowable difference in frequency is ± 0.5 Hz. This paper load frequency control is done by PI controller, which is a conventional controller. This type of controller is slow and the controller does not allow the designer to keep in mind the potential change in operating conditions and non-linearity in the generator unit. To overcome these flaws, new intelligent controllers like Fuzzy-PI Controller are presented to extinguish tie-line power due to deviation in frequency and various load disturbances. The effectiveness of the proposed controller has been confirmed using the MATLAB SIMULINK software. The results show that the PI-fuzzy controller provides fast response, little undershoots and negligible overshoot with small state transfer time to reach the final stable position. Ajay Kumar Maurya | Dr. G. K. Banerjee | Dr. Piush Kumar "Design Fuzzy-PI Based Controller for Load Frequency Control of Thermal - Thermal Area Interconnected Power System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-1 , December 2018, URL: http://www.ijtsrd.com/papers/ijtsrd19164.pdf
http://www.ijtsrd.com/engineering/electrical-engineering/19164/design-fuzzy-pi-based-controller-for-load-frequency-control-of-thermal---thermal-area-interconnected-power-system/ajay-kumar-maurya
Balancing Time and Cost in Resource-Constrained Project Scheduling Using Meta...J. Agricultural Machinery
Agricultural production involves a series of tasks including tillage, planting, and harvesting, which must be done at the right time for each region and type of product. Failing to complete these tasks on time can lead to a decrease in yield. Farmers may wrongly attribute this to factors such as infertile land, pests, diseases, and uneven rainfall distribution. However, this decrease in yield may not always be evident or tangible. To avoid such losses and unforeseen expenses, it is crucial to plan agricultural mechanization projects using the principles of project control. Agricultural projects, like industrial projects, must be carried out in the correct order and at the right time to achieve optimal results. Given the limited availability of resources for mechanization projects, it is imperative to meticulously plan activities to ensure that they are carried out on time and with maximum utilization of resources. To address these challenges, researchers have used meta-heuristic methods in project control, such as the colonial competition algorithm, which has been proven effective in solving the issue of scheduling projects with limited resources. The algorithm has been tested across various industrial activities and projects, and its performance in scheduling the Resource-Constrained Project Scheduling Problem (RCPSP) has been validated by researchers globally.
Simulation of Heat and Mass Transfer in a Refractance Window Dryer for Aloe v...J. Agricultural Machinery
Drying is one of the oldest methods of food preservation. To increase the efficiency of heat and mass transfer while maintaining product quality, the study of the drying process is crucial scientifically and meticulously. It is possible to conduct experimental tests, trial and error, in the drying process. However, this approach consumes time and cost, with a significant amount of energy resources. By harnessing available software and leveraging technological advancement to develop a general model for drying food under varying initial conditions, the drying process can be significantly optimized.
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Optimal design of CMOS current mode instrumentation amplifier using bio-inspi...nooriasukmaningtyas
Analog integrated circuits for biomedical applications require good performance. This paper presents an instrumentation amplifier (IA) design based on three complementary metal oxide semiconductor (CMOS) conveyors with an active resistor. This circuit offers the possibility to control the gain by voltage and current. We have designed the IA to minimize the parasitic resistance (Rx) with large bandwidth and high common mode rejection ratio (CMRR) using the artificial bee colony algorithm (ABC). The topology is simulated using 0.35µm CMOS technology parameters. The optimization problem is represented by an objective function that will be implemented using MATLAB script. The results were approved by the simulation using the advanced design system (ADS) tool. The simulation results were compared to the characteristics of some other instrumentation amplifiers exsisting in the literature. The circuit has a higher CMRR than other topologies.
Survey of emf emitted by lab equipments in pharmacy labs of southeast univers...eSAT Journals
Abstract The aim of this survey is to investigate whether the Electromagnetic Fields (EMF) emitted by various lab equipments affects the students. There is a standard threshold value recommended by WHO for both electric and magnetic fields. Electro-Magnetic Fields commonly known as Non Ionizing Radiation is emitted from high power transmission lines, computer monitor/video display unit, radio waves of different frequencies (extremely low frequency to microwaves), telecommunication, satellite, radar etc. which causes health hazards to living system and environment. The WHO/ International Agency for Research in Cancer (IARC) has classified radio frequency electromagnetic field as possibly carcinogenic to humans. There has been no such study performed in Bangladesh. The data were collected from various labs of department of pharmacy at Southeast University in Dhaka, Bangladesh. These labs are Pharmaceutical, Cosmetology and Biopharmaceutical Lab, Pharmacology Lab, Organic Pharmacy and Pharmacognosy Lab, Inorganic Pharmacy Lab and Microbiology Research Lab. Both threshold values of Electric and Magnetic fields were measured for various electronic equipments. Also the maximum value of the magnetic field results showed that in many cases the magnetic field radiated from the different sources are greater than the threshold limit which are the main point of our findings. As a result of the long time efforts of world scientist community WHO formed ICNIRP in 1969. Key Words: EMF, NIR, DNA, EMC, AML and ICNIRP
Mems Based Motor Fault Detection in Windmill Using Neural NetworksIJRES Journal
Today wind turbine technology is one of the fastest growing power generation technologies operating in large numbers at harsh and difficult environment sites and it is difficult to monitor each and every windmill separately. There are times when faults occur in motors of windmills are not detected in earlier stage and we come to know about damage when motor gets fully damaged. Here we using wireless monitoring based on MEMS accelerometer sensor which senses the vibrations occurring in the motor and based on the severity of vibrations, sensor sends the data to the controlling unit to take further action. Neural network based work is included to get the accurate and precise vibratory signals to detect fault at a very early stage to avoid full damage to the motor.
Today wind turbine technology is one of the fastest growing power generation technologies operating in large numbers at harsh and difficult environment sites and it is difficult to monitor each and every windmill separately. There are times when faults occur in motors of windmills are not detected in earlier stage and we come to know about damage when motor gets fully damaged. Here we using wireless monitoring based on MEMS accelerometer sensor which senses the vibrations occurring in the motor and based on the severity of vibrations, sensor sends the data to the controlling unit to take further action. Neural network based work is included to get the accurate and precise vibratory signals to detect fault at a very early stage to avoid full damage to the motor.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
ANALYSIS OF VARIOUS COMPENSATION DEVICES FOR POWER QUALITY IMPROVEMENT IN WIN...IAEME Publication
In recent trend, the renewable source of energy is increasingly used in the electric power generation, which leads to certain power quality issues. Hence some of the supplementary devices like capacitors, compensators or reactive power injection devices are added to the compensation system. With the advancement in power electronics, compensating devices such as Distribution Static Compensator (DSTATCOM), Unified Power Quality Conditioner (UPQC), Dynamic Voltage Restorer (DVR), Static Var Compensator (SVC) etc. are used. In this paper, the characteristics of three important compensating devices DVR, UPQC and DSTATCOM are analysed. Initially these devices are modelled and their performance is analysed with common power quality problems such as voltage sag, swell and harmonics. The overall outcome suggests that the performance of the DSTATCOM is comparatively better than that of the other two devices, which become the most suitable device for power quality improvement in wind energy system.
Harmonic Voltage Distortions in Power Systems Due to Non Linear LoadsIJAPEJOURNAL
Harmonics are found to have deleterious effects on power system equipments including transformers, capacitor banks, rotating machines, switchgears and protective relays. Transformers, motors and switchgears may experience increased losses and excessive heating. Shunt filters are effective in minimizing voltage distortions. This paper describes the voltage distortions generated by non linear loads. The harmonic specifications such as harmonic factor, characteristic harmonic and non-characteristic harmonic are considered while explaining the paper. ‘MiPower’ software is used to compute the harmonic distortions in a sample power system. Accurate harmonic models are established for a non linear load. To reduce the harmonic voltages impressed upon specific parts of the sample power system, passive filters are installed at two buses. With the implementation of a passive filter at the bus with non linear load, the harmonics are greatly reduced. For the specified power system, at all the buses the total harmonic distortion has been evaluated.
A hybrid power system which consists of PV-arrays and wind turbines with energy storing devices (battery
bank) and power electronic devices has been discussed in this paper to achieve an efficient and cost
competitive system configuration so that hybrid power sources could improve the life of people especially in
rural areas where electricity from the main grid has not reached yet
Key words: Renewable energy, PV panel, Battery, Hybrid system
Design Fuzzy-PI Based Controller for Load Frequency Control of Thermal - Ther...ijtsrd
This paper presents how to design proportional integral controller and Fuzzy-PI based controller for efficiently load frequency control. Loads on the electrical system always vary in relation to that time, which results in diversity of frequency, causing frequency control problems to be loaded. The frequency difference is highly undesirable and the maximum allowable difference in frequency is ± 0.5 Hz. This paper load frequency control is done by PI controller, which is a conventional controller. This type of controller is slow and the controller does not allow the designer to keep in mind the potential change in operating conditions and non-linearity in the generator unit. To overcome these flaws, new intelligent controllers like Fuzzy-PI Controller are presented to extinguish tie-line power due to deviation in frequency and various load disturbances. The effectiveness of the proposed controller has been confirmed using the MATLAB SIMULINK software. The results show that the PI-fuzzy controller provides fast response, little undershoots and negligible overshoot with small state transfer time to reach the final stable position. Ajay Kumar Maurya | Dr. G. K. Banerjee | Dr. Piush Kumar "Design Fuzzy-PI Based Controller for Load Frequency Control of Thermal - Thermal Area Interconnected Power System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-1 , December 2018, URL: http://www.ijtsrd.com/papers/ijtsrd19164.pdf
http://www.ijtsrd.com/engineering/electrical-engineering/19164/design-fuzzy-pi-based-controller-for-load-frequency-control-of-thermal---thermal-area-interconnected-power-system/ajay-kumar-maurya
Balancing Time and Cost in Resource-Constrained Project Scheduling Using Meta...J. Agricultural Machinery
Agricultural production involves a series of tasks including tillage, planting, and harvesting, which must be done at the right time for each region and type of product. Failing to complete these tasks on time can lead to a decrease in yield. Farmers may wrongly attribute this to factors such as infertile land, pests, diseases, and uneven rainfall distribution. However, this decrease in yield may not always be evident or tangible. To avoid such losses and unforeseen expenses, it is crucial to plan agricultural mechanization projects using the principles of project control. Agricultural projects, like industrial projects, must be carried out in the correct order and at the right time to achieve optimal results. Given the limited availability of resources for mechanization projects, it is imperative to meticulously plan activities to ensure that they are carried out on time and with maximum utilization of resources. To address these challenges, researchers have used meta-heuristic methods in project control, such as the colonial competition algorithm, which has been proven effective in solving the issue of scheduling projects with limited resources. The algorithm has been tested across various industrial activities and projects, and its performance in scheduling the Resource-Constrained Project Scheduling Problem (RCPSP) has been validated by researchers globally.
Simulation of Heat and Mass Transfer in a Refractance Window Dryer for Aloe v...J. Agricultural Machinery
Drying is one of the oldest methods of food preservation. To increase the efficiency of heat and mass transfer while maintaining product quality, the study of the drying process is crucial scientifically and meticulously. It is possible to conduct experimental tests, trial and error, in the drying process. However, this approach consumes time and cost, with a significant amount of energy resources. By harnessing available software and leveraging technological advancement to develop a general model for drying food under varying initial conditions, the drying process can be significantly optimized.
Evaluation of the Energy Efficiency of a Solar Parabolic Collector Equipped w...J. Agricultural Machinery
With increasing the world's population, the demand for supply water resources is also increasing. Nevertheless, climate change has severely impacted the accessibility of fresh water resources. Consequently, researchers have been focusing on producing drinkable water from seas and oceans. Iran, with its significant levels of solar radiation and access to open water from the north and south, is an ideal country for fresh water production. Using solar water desalination systems is a reliable and cost-effective solution for producing drinking water from salt water sources. The purpose of this research is to enhance the performance of the solar water desalination system by using the latent heat storage system and a solar tracking system. In this experimental setup for fresh water production, water was used as the working fluid, while a parabolic collector functioned as the source of thermal energy.
Simulation of Natural Frequencies of Orange Fruit Using Finite Element MethodJ. Agricultural Machinery
The growing consumer demand for high-quality products has led to the development of new technologies for assessing the quality of agricultural products. Iran is the 9th largest orange producer in the world. Every year, large quantities of agricultural products lose their optimal quality due to mechanical and physical damage during various operations such as harvesting, packaging, transportation, sorting, processing, and storage. This study is performed to identify the natural frequencies and vibration modes of the Thomson orange fruit using finite element modal analysis by ANSYS software. In addition, physical properties including mass, volume, density, and principal dimensions were measured, and mechanical properties were determined using Instron Texture Profile Analysis. The dynamic behavior of the orange fruit was simulated using the pendulum impact test. Afterward, the obtained impact was applied to the orange fruit by force gauge and three-axis accelerometer sensors in both polar and equatorial directions. The three-dimensional geometric model of the orange fruit was drawn in the ANSYS software. After meshing and applying the boundary conditions, the first 20 modes and corresponding natural frequencies were obtained. Since the objective of this study was to identify the natural frequencies of the orange fruit, it was considered to have free movement and rotation in space. The results showed that the natural frequencies of orange fruit are in the range of 0 to 248.41 Hz. Knowledge of the texture characteristics and dynamic behavior of horticultural products is essential for the design and development of agricultural machinery. Furthermore, the design and development of agricultural machinery are directly related to the biological properties of agricultural products.
Design, Construction, and Optimization of Performance of Electrodynamic Spray...J. Agricultural Machinery
Due to the increasing need for agricultural products, protection of products against pathogens and preventing them from being wasted is important. Studies on droplet charging systems result in the reduction of chemical usage and an increase in the deposition of droplets on the target. Conventional sprayers used in Iran have numerous disadvantages such as drift, environmental pollution, lack of complete and homogeneous coverage of the spraying surface, phytotoxicity, and crop losses. Therefore, evaluation of new spraying methods and using a variety of electrical sprayers as alternatives to conventional spraying is essential. This study aims to design, construct, and optimize the performance of the electrodynamic head of an atomizer motorized knapsack sprayer, and study the effects of the angle of the target position, spraying distance, and wind speed on the performance of the electrodynamic sprayer.
Performance Evaluation of the UAV Sprayer in Controlling Brevicoryne Brassica...J. Agricultural Machinery
About 30% of the annual losses of agricultural products are caused by pests, diseases, and weeds. Spraying is currently the most common method of their control. At present, various manual and tractor-mounted sprayers are used for spraying. Manual spraying has very low work efficiency and is damaging as the spray might be applied irregularly and consumed by the labor or the product at poisonous levels. Tractor-mounted sprayers are more efficient than manual sprayers and require less labor. However, their use is associated with issues such as compacting the soil or crushing the product. In recent years, Unmanned Aerial Vehicle (UAV) sprayers have been used to spray farms and orchards. UAV spraying can increase the spraying efficiency by more than 60% and reduce the volume of spray used by 20-30%. Based on the capabilities of the UAV sprayer and the limitations of other current spraying methods, the purpose of this research is to evaluate the performance of the UAV sprayer in controlling Brevicoryne brassicae (L.) and compare the results with a turbo liner sprayer.
Rapid and Non-destructive Estimation of Apple Tree NPK Contents based on Leaf...J. Agricultural Machinery
Apple is one of the most frequently consumed fruits in the world. It is a source of minerals, fiber, various biological compounds such as vitamin C, and phenolic compounds (natural antioxidants). The amount of nutrients plays a significant role in the growth, reproduction, and performance of agricultural products and plants. Chemical inputs can be accurately managed by predicting these elements. Thus, timely and accurate monitoring and managing the status of crop nutrition is crucial for adjusting fertilization, increasing the yield, and improving the quality. This approach minimizes the application of chemical fertilizers and reduces the risk of environmental degradation. In crop plants, leaf samples are typically analyzed to diagnose nutrient deficiencies and imbalances, as well as to evaluate the effectiveness of the current nutrient management system. Therefore, the main aim of this study is to estimate the level of Nitrogen (N), Phosphorus (P), and Potassium (K) elements in the leaves of the apple tree using the non-destructive method of Visible/Near-infrared (Vis/NIR) spectroscopy at the wavelength range of 500 to 1000 nm coupled with chemometrics analysis.
On the field and in the paddy milling factory dryer losses have always been challenging issues in the rice industry. Different forms of losses in brown rice may occur depending on the field and factory conditions. To reduce the losses, proper management during pre-harvest, harvesting, and post-harvest operations is essential. In this study, different on-field drying and tempering methods were investigated to detect different forms of brown rice losses
Cold Plasma Technique in Controlling Contamination and Improving the Physiolo...J. Agricultural Machinery
Today, almost half of the total human food, especially in Asia, is directly supplied from grains, and nearly 70% of the cultivated area of the world, which is one billion hectares, is used for growing grains. Therefore, non-destructive methods must be found and developed to increase seed quality in agriculture and industry. Cold plasma is a novel and efficient method that can be used in the agricultural and food sectors for the inactivation of surface microorganisms and the excitation of seeds. This review presents a summary of the effectiveness of cold plasma treatment on the characteristics of four important cereal plants: wheat, rice, corn, and barley. The focus is on the effects of this treatment on seed germination, surface property changes, water uptake of seeds, growth parameters of root, shoot, and seedling length, biomass parameters, and metabolic activities. By examining the research conducted by the researchers, it can be seen that the cereal seeds treated with cold plasma had better germination power, water absorption, shoot length, growth efficiency, shoot and root weight, and metabolic activity. This review can provide insight into the promising trends in utilizing plasma as a method to decrease the prevalence of harmful plant diseases transmitted through seeds and reduce the dormancy of hard seeds.
Modeling Soil Pressure-Sinkage Characteristic as Affected by Sinkage rate usi...J. Agricultural Machinery
Due to the numerous variables that may influence the soil-machine interaction systems, predicting the mechanical response of soil interacting with off-road traction equipment is challenging. In this study, deep neural networks (DNNs) are chosen as a potential solution for explaining the varying soil sinkage rates because of their ability to model complex, multivariate, and dynamic systems. Plate sinkage tests were carried out using a Bevameter in a fixed-type soil bin with a 24 m length, 2 m width, and 1 m depth. Experimental tests were conducted at three sinkage rates for two plate sizes, with a soil water content of 10%. The provided empirical data on the soil pressure-sinkage relationship served as the basis for an algorithm capable of discerning the soil-machine interaction. From the iterative process, it was determined that a DNN, specifically a feed-forward back-propagation DNN with three hidden layers, is the optimal choice. The optimized DNN architecture is structured as 3-8-15-10-1, as determined by the Grey Wolf Optimization algorithm. While the Bekker equation had traditionally been employed as a widely accepted method for predicting soil pressure-sinkage behavior, it typically disregarded the influence of sinkage velocity of the soil. However, the findings revealed the significant impact of sinkage velocity on the parameters governing the soil deformation response. The trained DNN successfully incorporated the sinkage velocity into its structure and provided accurate results with an MSE value of 0.0871.
A Finite Element Model of Soil-Stress Probe Interaction under a Moving Rigid ...J. Agricultural Machinery
Machinery traffic is associated with the application of stress onto the soil surface and is the main reason for agricultural soil compaction. Currently, probes are used for studying the stress propagation in soil and measuring soil stress. However, because of the physical presence of a probe, the measured stress may differ from the actual stress, i.e. the stress induced in the soil under machinery traffic in the absence of a probe. Hence, we need to model the soil-stress probe interaction to study the difference in stress caused by the probe under varying loading geometries, loading time, depth, and soil properties to find correction factors for probe-measured stress. This study aims to simulate the soil-stress probe interaction under a moving rigid wheel using finite element method (FEM) to investigate the agreement between the simulated with-probe stress and the experimental measurements and to compare the resulting ratio of with/without probe stress with previous studies. The soil was modeled as an elastic-perfectly plastic material whose properties were calibrated with the simulation of cone penetration and wheel sinkage into the soil. The results showed an average 28% overestimation of FEM-simulated probe stress as compared to the experimental stress measured under the wheel loadings of 600 and 1,200 N. The average simulated ratio of with/without probe stress was found to be 1.22 for the two tests which is significantly smaller than that of plate sinkage loading (1.9). The simulation of wheel speed on soil stress showed a minor increase in stress. The stress over-estimation ratio (i.e. the ratio of with/without probe stress) noticeably increased with depth but increased slightly with speed for depths below 0.2 m.
Optimization of the Mixing in a Gas-lift Anaerobic Digester of Municipal Wast...J. Agricultural Machinery
This research aims to optimize the mixing process in gas-lift anaerobic digesters of municipal sewage sludge since mixing and maintaining uniform contact between methanogenic bacteria and nutrients is essential. Wastewater municipal sludge sampling was performed at the Ahvaz West treatment plant (Chonibeh, Iran) during the summer of 2022. A Computational Fluid Dynamics (CFD) model was implemented to simulate, optimize, and confirm the simulation process using ANSYS Fluent software 19.0. The velocity of the inlet-gas into the digester was determined and a draft tube and a conical hanging baffle were added to the digester design. Different inlet-gas velocities were investigated to optimize the mixing in the digester. Furthermore, turbulence kinetic energy and other evaluation indexes related to the sludge particles such as their velocity, velocity gradient, and eddy viscosity were studied. The optimal inlet-gas velocity was determined to be 0.3 ms-1. The simulation results were validated using the Particle Image Velocimetry (PIV) method and the correlation between CFD and PIV contours was statistically sufficient (98.8% at the bottom corner of the digester’s wall). The results showed that the model used for simulating, optimizing, and verifying the simulation process is valid. It can be recommended for gas-lift anaerobic digesters with the following specifications: cylindrical tank with a height-to-diameter ratio of 1.5, draft tube-to-digester diameter ratio of 0.2, draft tube-to-fluid height ratio of 0.75, the conical hanging baffle distance from the fluid level equal to 0.125 of the fluid height, and its outer diameter-to-digester diameter of 2/3.
Investigating the Efficiency of Drinking Water Treatment Sludge and Iron-Base...J. Agricultural Machinery
In the quest for enhanced anaerobic digestion (AD) performance and stability, iron-based additives as micro-nutrients and drinking water treatment sludge (DWTS) emerge as key players. This study investigates the kinetics of methane production during AD of dairy manure, incorporating varying concentrations of Fe and Fe3O4 (10, 20, and 30 mg L-1) and DWTS (6, 12, and 18 mg L-1). Leveraging an extensive library of non-linear regression (NLR) models, 26 candidates were scrutinized and eight emerged as robust predictors for the entire methane production process. The Michaelis-Menten model stood out as the superior choice, unraveling the kinetics of dairy manure AD with the specified additives. Fascinatingly, the findings revealed that different levels of DWTS showcased the highest methane production, while Fe3O420 and Fe3O430 recorded the lowest levels. Notably, DWTS6 demonstrated approximately 34% and 42% higher methane production compared to Fe20 and Fe3O430, respectively, establishing it as the most effective treatment. Additionally, DWTS12 exhibited the highest rate of methane production, reaching an impressive 147.6 cc on the 6th day. Emphasizing the practical implications, this research underscores the applicability of the proposed model for analyzing other parameters and optimizing AD performance. By delving into the potential of iron-based additives and DWTS, this study opens doors to revolutionizing methane production from dairy manure and advancing sustainable waste management practices.
Dynamic Model of Hip and Ankle Joints Loading during Working with a Motorized...J. Agricultural Machinery
The main objective of this paper is to develop a seven-link dynamic model of the operator’s body while working with a motorized backpack sprayer. This model includes the coordinates of the sprayer relative to the body, the rotational inertia of the sprayer, the muscle moments acting on the joints, and a kinematic coupling that keeps the body balanced between the two legs. The constraint functions were determined and the non-linear differential equations of motion were derived using Lagrangian equations. The results show that undesirable fluctuations in the ankle force are noticeable at the beginning and end of a swing phase. Therefore, injuries to the ankle joint are more likely due to vibrations. The effects of engine speed and sprayer mass on the hip and ankle joint forces were then investigated. It is found that the engine speed and sprayer mass have significant effects on the hip and ankle forces and can be used as effective control parameters. The results of the analysis also show that increasing the engine speed increases the frequency of the hip joint force. However, no significant effects on the frequency of the ankle joint force are observed. The results of this study may provide researchers with insight into estimating the allowable working hours with the motorized backpack sprayers, prosthesis design, and load calculations of hip implants in the future.
Experimental Study and Mathematical Modeling of Hydrogen Sulfide Removal from...J. Agricultural Machinery
Introduction
Anaerobic bacteria break down organic materials like animal manure, household trash, plant wastes, and sewage sludge during the anaerobic digestion process of biological materials and produce biogas. One of the main issues in using biogas is hydrogen sulfide (H2S), which can corrode pipelines and engines in concentrations between 50 and 10,000 ppm. One method for removing H2S from biogas with minimal investment and operation costs is biofiltration. Whether organic or inorganic, the biofilter's bed filling materials must adhere to certain standards including high contact surface area, high permeability, and high absorption. In this study, biochar and compost were used as bed particles in the biofilter to study the removal of H2S from the biogas flow in the lab. Afterward, kinetic modeling was used to describe the removal process numerically.
Material and Methods
To remove H2S from the biogas, a lab-sized biofilter was constructed. Biochar and compost were employed separately as the material for the biofilter bed. Because of its high absorption capacity and porosity, biochar is a good choice for substrate and packed beds in biofilters. The biochar pieces used were broken into 10 mm long cylindrical pieces with a diameter of 5 mm. Compost was used as substrate particles because it contains nutrients for microorganisms. Compost granules with an average length of 7.5 mm and 3 mm in diameter were used in this study. For the biofilter reactor, each of these substrates was put inside a cylinder with a diameter of 6 cm and a height of 60 cm. The biofilter's bottom is where the biogas enters, and its top is where it exits. During the experiment, biogas flowed at a rate of 72 liters per hour. Mathematical modeling was used to conduct kinetic studies of the process to better comprehend and generalize the results. This method involves feeding the biofilter column with biogas that contains H2S while the biofilm is present on the surface of the biofilter bed particles. The bacteria in the biofilm change the gaseous H2S into the harmless substance sulfur and store it in their cells. The assumptions that form the foundation of the mathematical models are: the H2S concentration is uniform throughout the gas flow, the gas flow is constant, and the column's temperature is constant at a specific height.
Results and Discussion
In the beginning, biochar was used as a substrate in the biofilter to test its effectiveness, and the results obtained for removing H2S from the biogas were acceptable. H2S concentration in biogas was significantly reduced using biochar beds. It dropped from 300 ppm and 200 ppm to 50 ppm where the greatest H2S concentration reduction was achieved. The level of Methane in the biogas was not significantly impacted by the biofilter. This is regarded as a significant outcome when taking into account the goal which is producing biogas with a high concentration of methane. The H2S elimination effectiveness was 94% with the biochar bed and
Feasibility of Soil Texture Determination Using Acoustic Signal Processing of...J. Agricultural Machinery
Introduction
Precision agriculture is a modern approach to farming that ensures the crops and soil receive exactly what they need for optimum health and productivity. Precision agriculture offers the potential to automate and simplify the collection and analysis of information. It allows management decisions to be quickly made and implemented in small areas of larger fields. Measuring acoustic signals with a cone penetrometer is an advanced and inexpensive method that provides a lot of information about the soil within the shortest amount of time and with the lowest cost. The texture of the soil determines the percentage of the constituents of the mineral part of the soil such as sand, silt, and clay.
In this study, an acoustic penetrometer is developed to provide an accurate method for determining the soil texture. This system uses a microphone to record the sound produced by the cone-soil contact and correlates this data with the soil texture.
Materials and Methods
An acoustic cone penetrometer (ACPT) was designed to determine if there is a relationship between the sound produced at the cone-soil contact and soil particle size. Three types of cones with angles of 30, 45, and 60 degrees, diameter of 20.27 mm, and rod length of 300 mm according to ASAE standard S313.3 FEB1999ED (R2013) were used to determine the relationship between sound and soil texture and to choose the best angle. A microphone (20-20,000 Hz) suitable for fast dynamic responses was used to record the audio signals produced from the soil. Audio signals were stored online through the oscilloscope section of Matlab software. To create the controlled vertical movement of the cones, a mechanical mechanism with electronic controllers was designed. This mechanism can be connected to the rails of the soilbin available in Urmia University, Iran, and is made of a 5 hp electric motor with a gearbox, an inverter for controlling the rotational speed of the electric motor, and a digital ruler for recording vertical movement. Soil samples were tested in 19-liter bins.
Acoustic signals received from the microphone were processed in the time-frequency domain using wavelet transform. In this research, Daubechi function type 3 is used to analyze acoustic signals. It is not possible to use the processed acoustic signals directly for statistical analysis. Therefore, the relevant features should be extracted from them. From the 30 features of time domain signals, the most effective and main features include: SUM, Max, RMS, average, Var, kurtosis, and Moment4. They were ranked using the feature selection section of WEKA 3.9.2 software to avoid increasing the volume of calculations, increase processing speed, and reduce errors. The characteristic vector of the sub-signals of several different soil samples was analyzed to distinguish the soil type and constituents namely sand, silt, and clay.
Results and Discussion
The best type of cone was selected using WEKA software. The number of features in the
Fusion of Multispectral and Radar Images to Enhance Classification Accuracy a...J. Agricultural Machinery
Introduction
Remote sensing is defined as data acquisition about an object or a phenomenon related to a geographic location without physical. The use of remote sensing data is expanding rapidly. Researchers have always been interested in accurately classifying land coverage phenomena using multispectral images. One of the factors that reduces the accuracy of the classification map is the existence of uneven surfaces and high-altitude areas. The presence of high-altitude points makes it difficult for the sensors to obtain accurate reflection information from the surface of the phenomena. Radar imagery used with the digital elevation model (DEM) is effective for identifying and determining altitude phenomena. Image fusion is a technique that uses two sensors with completely different specifications and takes advantage of both of the sensors' capabilities. In this study, the feasibility of employing the fusion technique to improve the overall accuracy of classifying land coverage phenomena using time series NDVI images of Sentinel 2 satellite imagery and PALSAR radar imagery of ALOS satellite was investigated. Additionally, the results of predicted and measured areas of fields under cultivation of wheat, barley, and canola were studied.
Materials and Methods
Thirteen Sentinel-2 multispectral satellite images with 10-meter spatial resolution from the Bajgah region in Fars province, Iran from Nov 2018 to June 2019 were downloaded at the Level-1C processing level to classify the cultivated lands and other phenomena. Ground truth data were collected through several field visits using handheld GPS to pinpoint different phenomena in the region of study. The seven classes of distinguished land coverage and phenomena include (1) Wheat, (2) Barley, (3) Canola, (4) Tree, (5) Residential regions, (6) Soil, and (7) others. After the preprocessing operations such as radiometric and atmospheric corrections using predefined built-in algorithms recommended by other researchers in ENVI 5.3, and cropping the region of interest (ROI) from the original image, the Normalized Difference Vegetation Index (NDVI) was calculated for each image. The DEM was obtained from the PALSAR sensor radar image with the 12.5-meter spatial resolution of the ALOS satellite. After preprocessing and cropping the ROI, a binary mask of radar images was created using threshold values of altitudes between 1764 and 1799 meters above the sea level in ENVI 5.3. The NDVI time series was then composed of all 13 images and integrated with radar images using the pixel-level integration method. The purpose of this process was to remove the high-altitude points in the study area that would reduce the accuracy of the classification map. The image fusion process was also performed using ENVI 5.3. The support Vector Machine (SVM) classification method was employed to train the classifier for both fused and unfused images as suggested by other researchers.
To evaluate the effectiveness of image fusion, Comm
A Multi-Objective Optimization to Determine The Optimal Patterns of Sustainab...J. Agricultural Machinery
Introduction
The development of mechanization and machine technology can have positive and negative effects on the economic, social, and environmental conditions of a region. Conflicts in these areas complicate the selection and optimization of sustainable mechanization systems. One of the basic questions in the selection of a sustainable agricultural mechanization system is how and with what methodology would it be possible to propose the closest mechanization model that will overcome the simultaneous contradictions between the three pillars of sustainability; taking into account the natural and technical limitations in agricultural production. What is the appropriate approach considering the economic, environmental, and social aspects? The current research aims to provide a framework for an optimal mechanization model to achieve the goals of agricultural sustainability so that it can be implemented and applied practically. It is possible to provide a model that addresses the conflicting economic, social, and environmental aspects by quantitatively optimizing the level of mechanization.
Materials and Methods
In this study, a framework is applied whereby contradictory goals of agricultural sustainability can be achieved simultaneously. After selecting the indices and data collection, by combining Shannon entropy and TOPSIS, the similarity index was obtained for each objective. The similarity indices and values of the Benefit-Cost Ratio calculated for each system were considered as coefficients of three objective (economic, social, and environmental) functions in multi-objective optimization. The multi-objective optimization model was applied to achieve sustainable mechanization patterns and was solved using the NSGA-II algorithm. For framework validation, paddy production mechanization systems in the Ramhormoz region located in southwestern Iran were analyzed with constraints: land, water, and machinery. The five mechanization systems of paddy production included puddled transplanted, un-puddled transplanted, water seeded, dry seeded, and, no-till.
Results and Discussion
Pareto-optimal solutions of different scenarios with water and machine constraints showed that this framework cannot only meet the sustainable goals, but also the optimal allocation of mechanization systems is identified and the effect of different scenarios under different constraints can be examined. The sustainability goals between the no-tillage and planting with puddling systems are highly contradictory. The no-tillage system has the highest score in the environmental aspect and the lowest score in the social and economic aspects. This modern system was developed in Ramhormoz three years ago and has faced technical, economic, and social challenges ever since. The cultivated area using this system was 43 hectares in 2019. Despite the speed and ease of planting with this system, and its direct environmental benefits, the possibility of fungal outbreaks is raised due to the pre
Automatic Detection of Plant Cultivation Rows Robot using Machine Vision (Cas...J. Agricultural Machinery
Introduction
Nowadays, machine vision systems are extensively used in agriculture. The application of this technology in the field can help preserve agricultural resources while reducing manual labor and production costs. In the field of agricultural automation, accurately detecting crop rows is recognized as a crucial and challenging issue for weed identification and the automatic guidance of machines. Therefore, it is necessary to explore practical solutions to optimize this process. Hence, the purpose of this study is the precise identification of basil cultivation rows to enable the automatic navigation of robots in the cultivation field.
Materials and Methods
In the first stage of this research, six images from each growth period of basil plants (third, fourth, and fifth week) were taken and weeds were removed from the area between the crop rows using three different methods of area opening, dimensional removal, and masking. In the next stage, six images of crop rows without weeds were examined by performing image processing operations and implementing several routing algorithms, namely, Hough transform, wavelet transform, Gabor filter, linear regression, and an additional algorithm proposed in this study. The output of each of these algorithms was compared with the ideal path identified by the user. For this purpose, after capturing an image, green areas were extracted from it by performing the segmentation process. By applying each of the routing algorithms to the image, plant cultivation lines were identified and their equations were determined. Finally, the performance of the designed robot was evaluated using the most appropriate routing algorithm.
Results and Discussion
Examining the performance of three different methods of weed removal in three periods of plant growth (third, fourth, and fifth week) showed that during this interval, the masking method had the lowest error rate compared to the ideal path and the shortest average operation time of 1.64 seconds, followed by the dimensional removal and the area opening methods. Comparing the routes detected by different routing algorithms with the ideal routes and according to the results of the t-test at 5% probability level, the order of the studied routing methods from the most superior is as follows: the proposed algorithm, Gabor filter, linear regression, Hough transform and wavelet transform algorithm. Overall, the proposed algorithm had the highest rate of adaptation to the ideal path (with an average error of 3.65 pixels) and the shortest operation time (4.79 seconds) and was selected as the most appropriate routing algorithm and the performance of the designed robot was evaluated using it.
Conclusion
A reliable crop row detection algorithm can reduce production costs and preserve the environment. In this study, the masking method was used for removing weeds from the images. The new proposed routing algorithm has superior performance when compared with common routing algorithms s
Identifying and Prioritizing the Key Factors Affecting the Efficient Maintena...J. Agricultural Machinery
Introduction: With the emergence of new automation and mechanized technologies in the production and processing of agricultural products in Iran, which aim to accelerate the food supply process, adopting appropriate management models in the field of maintenance becomes inevitable. This is crucial to maintain and enhance the operational reliability of agricultural machinery, tools, and equipment. Furthermore, proper management of various physical assets in the agricultural industry, including operation and maintenance, is one of the most important requirements. This is due to their crucial role in ensuring readiness and high availability during the seasons of planting, cultivating, and harvesting agricultural products. These needs differ from that of other continuous production processes.
Materials and Methods: To achieve an efficient model in the field of maintenance, the following steps have been investigated:
a) Reviewing and identifying the most important criteria and sub-criteria driving the maintenance management. This is based on the previous literature and the experts’ opinion.
b) Evaluating and prioritizing the main criteria and the interactions between their sub-criteria using the Best-Worst Method (BWM).
c) Providing improved solutions for maintenance management of Iranian agro-industries.
We decided to employ BWM because, compared to similar methods, it (i) provides more reliable pairwise comparisons, (ii) reduces the possible anchoring bias that may occur during the weighting process by respondents, (iii) is the most data-efficient method, and (iv) provides multiple optimal solutions which increase flexibility when accessing the best weight point. The process of weighting by BWM is summarized in five steps:
1) Determine a set of evaluation criteria identified by the experts or decision-makers.
2) Identify the most important (Best) and the least important (Worst) criteria according to the experts or decision-makers, each of which may have their own Best and Worst.
3) Determine the preference of the Best criterion over all the other criteria using a number from 1 to 9 (where 1 represents equal importance and 9 represents extremely more important).
4) Determine the preference of all the decision criteria over the Worst criterion.
5) Compute optimal weights.
Results and Discussion: According to the preliminary surveys, the most important criteria in the excellence maintenance model were identified as “organizational management”, “human-related factors”, and “organizational aspects”, respectively. The results of the BWM revealed that sub-criteria such as "top management support," "fund allocation and inventory resource management," and "appropriate maintenance strategies" had the greatest impact on maintenance management in agro-industries, with global weights of 0.108, 0.075, and 0.067, respectively. Additionally, these findings were compared to previous research conducted in the field of agricultural and production system maintenance
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Design and Construction of a High-voltage System to Kill Weeds with a Feedback Mechanism
1. Research Article
Vol. 13, No. 2, 2023, p. 117-133
Design and Construction of a High-voltage System to Kill Weeds with a
Feedback Mechanism
B. Besharati1
, A. Jafari 1*
, H. Mousazadeh1
, H. Navid2
1- Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University
of Tehran, Karaj, Iran
2- Department of Biosystems Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran
(*- Corresponding Author Email: jafarya@ut.ac.ir)
https://doi.org/10.22067/jam.2021.70524.1051
How to cite this article:
Besharati, B., Jafari, A., Mousazadeh, H., & Navid, H. (2023). Design and Construction of
a High-voltage System to Kill Weeds with a Feedback Mechanism. Journal of Agricultural
Machinery, 13(2), 117-133. (in Persian with English abstract).
https://doi.org/10.22067/jam.2021.70524.1051
Received: 28 June 2021
Revised: 30 July 2021
Accepted: 08 August 2021
Available Online: 10 August 2021
Introduction
Various methods have been performed to control weeds in the world and the use of herbicides is one of them,
but public concerns about human health have changed interest in alternative methods. Thermal methods based on
flame-weeder, hot air, steam, and hot water have the potential to control weeds, but due to the high cost are not
economical. Electromagnetic waves transfer energy into weeds and finally destroy them. The effect of radiation
on plant mutation, high consumption of energy, and human health are problems for this approach. Unlike other
methods, electrical energy is an ideal and non-chemical method for weeds. This method applies high voltage to
weeds, their roots, and soil so that electric currents pass through them, and the vaporization of the liquid content
of weeds kills the weeds. To increase the severity of damage to weeds, the development of a feedback
mechanism is required. The ultrasonic sensor measuring physical parameters like plant height is a simple
method. Some complex sensing systems include optical sensors such as infrared, and machine vision that require
high-speed processors and expensive equipment. In this project, as a simple method, the monitoring of the
electrical current passing through weeds was used for developing the feedback mechanism and increasing
electric damage to weeds.
Materials and Methods
In this study, the system consisted of a high-voltage device that generated a 15 kV AC voltage to kill weeds,
as well as a feedback mechanism that included a sensor to measure the electric current on the input of the weed
killer and identify the presence of weeds and their annihilation. All parts were installed on a robotic platform,
and an application on a laptop was connected to it via an access point for navigation and data reception. The
system was tested in a greenhouse lab with various weeds. Initially, a test was performed to investigate the effect
of high voltage on the weeds and establish relationships between the electric currents passing through weeds and
their presence (before and after annihilation). During the test, the system was guided along a path and applied
high voltage to kill the weeds. The feedback mechanism was then calibrated based on the extracted data on
electric current relations. This allowed the system to detect weeds and their annihilation, enabling it to move to
the next target once a weed had been eliminated. After calibration, a comparative test was conducted to evaluate
the weed-killing efficiency of the two methods (with and without the feedback mechanism), and the results were
analyzed using a t-test with p ≤ 0.01.
Results and Discussion
The observations indicated that the input electric current on the weed killer was dependent on the electric
current passing through weeds. When the high-voltage electrode touched a weed, the electric current passed
through it increased, and simultaneously, the high electrical energy destroyed the weed. After the removal of the
weed, the electric current rapidly decreased. The average energy consumption per weed plant was estimated to
Journal of Agricultural Machinery
Homepage: https://jame.um.ac.ir
2. 111
ماشين نشریه
جلد ،کشاورزي هاي
31
شماره ،
2
تابستان ،
3042
be 250 joules, which can be compared with other methods. The final test comparing the use and non-use of the
feedback mechanism revealed significant differences (P < 0.01) between the results obtained with and without
the mechanism, demonstrating that the feedback mechanism increased the efficiency of weed annihilation. The
sensing system used in the developed feedback mechanism is a simple method that is affected by the electrical
resistivity of weeds. As such, it did not mistakenly detect other objects as weeds, unlike an ultrasonic
mechanism. Based on these results, monitoring the electrical current passing through weeds proved to be a
suitable method for developing a feedback mechanism for the weed killer to identify the presence of weeds and
their annihilation.
Conclusion
The use of high voltage as a non-chemical and alternative method for weed control has shown promising
results. The study revealed that measuring the electric current applied to the weed killer was an effective and
straightforward approach to developing a feedback mechanism. This mechanism aids in identifying the presence
of weeds and ensuring their elimination by intensifying the damage inflicted on them through the application of
high electrical energy. To further enhance the efficiency and speed of weed control, future research should
consider integrating an automatic guidance mechanism with the weed killer.
Keywords: Annihilator, Electric current, High-voltage, Identification, Weed
9. ،همکاران و بشارتی
علف نابودي براي باال ولتاژ سامانه ساخت و طراحی
بازخوردي سازوکار با هرز هاي
121
شکل
5
-
علف نابودگر الکتریکی مدار
هرز
بازخوردی سازوکار با
Fig.5. The circuit of the weed killer with the feedback mechanism
Charger
Module
12V
Switch
220V to
15KV
12V to
220V
Battery
Level
Switch
Relay
Module
ACS712
Fuse
Restart Button
Battery
6V
Battery
6V
Atmega328p
Wemos D1 mini V2
15kV
10k
22pF
22pF
16MHz
-
C
C
C
5V
GND
L298N
A B C D E F
A B C D E F
LM7805
VCC
R
X
I1 I2 I3 I4 E1 E2
DP5
DP3
(PWM)
ADC
0
DP3
(PWM
DP6
(PWM)
DP0
(RX
DP1
(TX
Dp9
(PWM
M M
M
M
13. ،همکاران و بشارتی
علف نابودي براي باال ولتاژ سامانه ساخت و طراحی
بازخوردي سازوکار با هرز هاي
121
شکل
9
-
برنامه
کار
ی
برای
نابود
گر
علف
بازخورد سازوکار با هرز
ی
Fig.9. Working program for the weed killer with the feedback mechanism
شکل
11
-
نمودار
مصرفی توان
برای
نابود
ی
علف
ها
ی
هرز
بازخورد سازوکار با هرز علف نابودگر توسط
ی
Fig.10. The graph of consumption power for weeds being killed by the weed killer with the feedback mechanism
0
20
40
60
80
100
0 10 20 30 40 50
Power
(W)
Time (s)
Begin
Is > Imna
N=N+1
Movement
15 kV
Stop Movement
Measure Is
Yes
No
Wait T seconds
Yes
No
N=0, Is=0, Imna=2.42, A, S=10, T=0.6s
N < S