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Poultry liquid feed poisoning, poor growth, death of poultry birds and low production yield has been a major problem faced by poultry farmers. Feeding poultry birds is an operation that must be done properly and carefully. The feeding operation is dependent on the poultry farming system practiced. The feeding mechanism could be done manually or wit...
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... It could not dispense solid feed and the system was not mobile. Furthermore, [13] developed an intelligent mobile poultry liquid feed dispensing system using GA tuned PID control technique. This system was able to move on a track and had the ability to dispense liquid feed from the trough into a drinker and back into the drinker to prevent contamination of the liquid feed. ...
... Fuzzy Logic is not suitable for highly complex systems. 5 An intelligent mobile poultry liquid feed dispensing system using GA tuned PID control technique [13] The system was mobile The system had the ability to dispense liquid feed to poultry birds The system had a mechanism to prevent contamination ...
The advent of technology has led to the automation of a number of systems globally such that the use of machines, control systems and information technology are implemented to optimize productivity in the manufacturing of goods and delivery of services. A typical poultry farm requires a lot of labour, but automation can proficiently moderate the amount of effort required, thereby making farming easier, faster, and leading to increased productivity. A poultry liquid and solid feed dispensing system are designed to discharge feed at specific time intervals in a poultry farm. This study utilizes the technological advancement in Global System of Mobile Communications (GSM) for remote monitoring and control of the poultry feed dispensing system. This tackles the challenge of being physically present, thereby eliminating the problem of distance as well as saving time, thus, resulting in an increased return on investment. The remote and monitoring system applies the Sim900A GSM and AT2560 microcontroller in Arduino Uno for remote monitoring and control of the feed dispensing. The performance of the system was evaluated in terms of the system response time of the GSM module on different mobile network subscribers. This helps to overcome the drawback of energy conservation and inadequate time management in accessing the system, thus, enabling the user to remotely monitor and control the feed dispensing system from the mobile phone. Hence, the system provides a cost-effective way of administering feed to the poultry birds.
... However, the system could not dispense solid feed and the fuzzy logic control was designed and limited to feed dispensing and was not designed to improve system response. [12] developed a mobile intelligent poultry feed dispensing system using a PID controller tuned with Genetic Algorithm (GA). The results showed that the system response with the GA based PID controller performed better than the system implemented without a controller. ...
... 3. Choose the membership function. 4. Define the IF-THEN rules. 5. Perform calculations and adjust the rules[12]. ...
The application of precision agriculture in farming practices results in higher yield and productivity with lower costs. Several works have applied this concept to poultry farming to reduce human involvement, stress, fatigue, wastage of poultry feed and provide a high return on investment. A number of these systems lack control techniques to improve the system performance. A few works exist that implemented control techniques to improve system response, but different systems were implemented and therefore, a comparison cannot be made. In this paper the performance comparison of the Fuzzy Logic Controller (FLC) and the PID Controller on the Poultry Feed Dispensing System was evaluated in a quest to determine the more efficient and effective controller. The system was modelled and simulated using MATLAB SIMULINK and the performance was evaluated based on the rise time, settling time, overshoot and Integrated Absolute Error (IAE). The results showed that the system implemented with the PID and FLC performed better than the system without a control technique. The PID gave a faster system response than the FLC in the solid feed subsystem with a difference in rise time, settling time and IAE of 9.72 seconds, 11.68 seconds and 4.74 respectively. The FLC performed better in the liquid feed subsystem with a difference in rise time, settling time, overshoot and IAE of 9.22 seconds, 33.07 seconds, 13.92% and 7.18 respectively. This shows that the PID controller is more suitable in the solid feed subsystem and the FLC is more effective in the liquid feed subsystem.
... However, the system could not dispense solid feed and the fuzzy logic control was designed and limited to feed dispensing and was not designed to improve system response. [12] developed a mobile intelligent poultry feed dispensing system using a PID controller tuned with Genetic Algorithm (GA). The results showed that the system response with the GA based PID controller performed better than the system implemented without a controller. ...
... 3. Choose the membership function. 4. Define the IF-THEN rules. 5. Perform calculations and adjust the rules[12]. ...
The application of precision agriculture in farming practices results in higher yield and productivity with lower costs. Several works have applied this concept to poultry farming in an attempt to reduce human involvement, stress, fatigue, wastage of poultry feed as well as provided a high return on investment. A number of these systems lack control techniques to improve the system performance. A few works exist that implemented control techniques to improve system response, but different systems were implemented and therefore, a comparison cannot be made. In this paper the performance comparison of the Fuzzy Logic Controller (FLC) and the PID Controller on the Poultry Feed Dispensing System was evaluated in a quest to determine the more efficient and effective controller. The system was modelled and simulated using MATLAB SIMULINK and the performance was evaluated based on the rise time, settling time, overshoot and Integrated Absolute Error (IAE). The results showed that the system implemented with the PID and FLC performed better than the system without a control technique. The PID gave a faster system response than the FLC in the solid feed subsystem with a difference in rise time, settling time and IAE of 9.72 seconds, 11.68 seconds and 4.74 respectively. The FLC performed better in the liquid feed subsystem with a difference in rise time, settling time, overshoot and IAE of 9.22 seconds, 33.07 seconds, 13.92% and 7.18 respectively. This shows that the PID controller is more suitable in the solid feed subsystem and the FLC is more effective in the liquid feed subsystem
... Existing Poultry Feed Dispensing Systems (PFDS) in literature [2] - [4], mainly apply the use of a single nature-inspired technique in solving the problems of slow system response and undesired stability. These previous works made use of Genetic algorithm on Proportional Integral Derivative (PID), Fuzzy logic on PID, and Particle Swarm Optimization on PID. ...
... The design of a mobile poultry liquid feed dispensing system in [2], used Genetic Algorithm to tuned a PID controller which controlled the movement and release of liquid feed in a defined pattern to avoid contamination. The results showed a better performance than the system implemented without a nature-inspired control technique [3]. ...
The increasing trends in intelligent control systems design has provide means for engineers to evolve robust and flexible means of adapting them to diverse applications. This tendency would reduce the challenges and complexity in bringing about the appropriate controllers to effect stability and efficient operations of industrial systems. This paper investigates the effect of two nature inspired algorithms, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), on PID controller for optimum tuning of a Fuzzy Logic Controller for Poultry Feed Dispensing Systems (PFDS). The Fuzzy Logic Controller was used to obtain a desired control speed for the conceptualized intelligent PFDS model. Both GA and PSO were compared to investigate which of the two algorithms could permit dynamic PFDS model to minimize feed wastage and reduce the alarming human involvement in dispensing poultry feeds majorly in the tropics. The modelling and simulation results obtained from the study using discrete event simulator and computational programming environment showed that PSO gave a much desired results for the optimally tuned FLC-PID, for stable intelligent PFDS with fast system response, rise time, and settling time compared to GA.
... With this, an environment friendly system that optimizes product quantity while minimizing cost, human intervention and the variation caused by unpredictable nature becomes necessary [6]. Figure 1 shows the diagram of the precision livestock model. odel [1] odel [1] odel [1] Amongst other benefits, PLF bring about better health control as both feed usage and growth rate change will alert managers to early signs of disease problems, improved scientific understanding of nutritional, health and environmental effects on the animals as almost all important parameters will be monitored by the system and later, new measurement parameters can be added as necessary. Thus, this paper demonstrates one of the arms of PLF in the domain of mathematical modeling of input and output relationship, to reduce to the barest minimum the unusual involvement of human workers in carrying out most of the activities in poultry farms, feed wastage due to the ad libitum feeding, and contamination of feeds where the birds and farmers are directly or indirectly affected. ...
... Although the system detected the level of feed and dispensed feed if the level was low, it has a number of limitations such as the inability of the system to dispense solid feed, immobility and the absence of a mechanism to prevent contamination. Some of the limitations encountered in [3], were rigorously addressed by [1] in a mobile intelligent poultry liquid feed dispensing system using Genetic Algorithm tuned PID control technique. This system was mobile and dispensed the liquid feed in a recycling manner to avoid contamination. ...
The mathematical modeling of control systems and other industrial applications has helped to
shape the design and performance of different systems. One of the problems faced by existing designs of
poultry feed dispensing system in the tropics is feed wastage often resulting in high cost of production.
Several measures that can be used to evaluate the performance of poultry flock especially broilers are
growth rate, days to market, mortality, and feed efficiency. Feed is typically the most costly expense in
broiler production. As a result, feed efficiency is typically the primary tool by which a flock is evaluated.
This research mathematically model an intelligent poultry feed dispensing system that will dispense both
solid and liquid feed which will reduce the unusual level of human involvement, feed wastage,
contamination and high cost of production. The mathematical model encompasses the speed control of a
DC motor which will regulate the to and fro motion of the conveyor brushes and control the flow of the
solid feed. The control of the digital valves regulates the flow rate of the liquid feed in and out of the
dispensing system. The mathematical model was simulated in MATLAB r2015b environment. The
simulated results showed that the system under state-space is controllable and observable when the Kalman
matrix test was carried out. At the end, a dynamic model for optimized balance among better yield, returns
on investment and cost of operation in dispensing poultry feed was developed
... Integrating wireless sensors for online health monitoring systems has been designed and been investigated as monitoring systems [62]- [66]. Proportional Integral Derivative (PID) control technique has also been applied to reduce labor and yield higher profits in poultry feeding management [67]. ...
Biosensors, as an application for animal health management, are an emerging market that is quickly gaining recognition in the global market. Globally, a number of sensors being produced for animal health management are at various stages of commercialization. Some technologies for producing an accurate health status and disease diagnosis are applicable only for humans, with few modifications or testing in animal models. Now, these innovative technologies are being considered for their future use in livestock development and welfare. Precision livestock farming techniques, which include a wide span of technologies, are being applied, along with advanced technologies like microfluidics, sound analyzers, image-detection techniques, sweat and salivary sensing, serodiagnosis, and others. However, there is a need to integrate all the available sensors and create an efficient online monitoring system so that animal health status can be monitored in real time, without delay. This review paper discusses the scope of different wearable technologies for animals, nano biosensors and advanced molecular biology diagnostic techniques for the detection of various infectious diseases of cattle, along with the efforts to enlist and compare these technologies with respect to their drawbacks and advantages in the domain of animal health management. The paper considers all recent developments in the field of biosensors and their applications for animal health to provide insight regarding the appropriate approach to be used in the future of enhanced animal welfare.
... Although the system was able to detect the level of the feed and dispense the feed if the level was low, it had limitations such as the inability of dispensing solid feed, immobility and the absence of a mechanism to prevent contamination. Adejumo, (2015) addressed some of the limitations of Adewumi, (2014) by developing a mobile intelligent poultry liquid feed dispensing system using GA tuned PID control technique. This system was mobile and dispensed the liquid feed in a recycling manner to avoid contamination. ...
... In this paper, we address salient limitations in these related works such as immobility (Umogbai, 2013;Adewumi, 2014), contamination (Adewumi, 2014), inability to dispense liquid feed (Umogbai, 2013;Arulogun et al, 2010) and inability to dispense solid feed Adejumo, (2015). Our mobile and intelligent system is capable of addressing these baseline related works by developing a system that is capable of dispensing both solid and liquid feed simultaneously using an intelligent PID control technique tuned by PSO algorithm for optimal performance. ...
Poultry farming in the tropics incurs a high cost on farmers due to the manual pattern of feeding. This in turn gives a low return on investment, low yield and low profit. These shortcomings of the manual pattern of feeding are as a result of contamination of the poultry feed, wastage of the feed, fatigue and stress involved with monitoring of the birds and administration of the feed. This study describes the development of a mobile intelligent poultry feed dispensing system using Particle Swarm Optimization (PSO) tuned Proportional Integral Derivative (PID) control technique. The system is capable of moving in a structured environment within a deep litter poultry farm and dispenses solid and liquid feed to poultry birds. The performance of the system was evaluated in terms of the system response using the Overshoot, Rise time and settling time as parameters. The result after successful testing and performance evaluation of the system showed that the system can be used by farmers to easily administer both solid and liquid feed to poultry birds with a high return on investment, high yield and profit. The developed mechatronic system can be adopted by farmers to reduce high level of human involvement in poultry feeding.
... In the free range system, birds are kept in an open space and fed manually. Some of the shortcomings of this method are missing of some birds and lot of human involvement [5]. In the Battery Cage system, the birds are kept in individual cage compartments in a large controlled environment [6]. ...
... The birds are allowed to move freely within the building. This method reduces the level of worm infection and provides protection for the birds against predators [5]. ...
... Although the system was able to detect the level of the feed and dispense the feed if the level was low, it had limitations such as the inability of dispensing solid feed, immobility and the absence of a mechanism to prevent contamination. The author in [5] addressed some of the limitations of [11] by developing a mobile intelligent poultry liquid feed dispensing system using Genetic Algorithm (GA) tuned PID control technique. This system was mobile and dispensed the liquid feed in a recycling manner to avoid contamination. ...
... The schematic diagram of the mobile Intelligent poultry feed dispensing system is as depicted in Figure 1. This system is as presented in Olaniyi, et al.( 2015) showing the main components namely the trough, control unit module, Wheels for mobility as well as the drinker. Basically, in actualizing the schematics as depicted above the entire system is subdivided into modules or subsystems. ...
Many automated liquid feed dispensing systems have problems with long response time which had resulted to overall poor performance of the system. In this paper, we present the performance evaluation of a mobile intelligent poultry liquid feed dispensing system using a two-way controller approach by adopting Genetic Algorithm tuned PI controller and Internal Model Controller (IMC). The performance of the dispensing system and the controller was evaluated using transient responses and Integral Average Error (IAE) metric respectively. The results obtained from the application of the GA tuned PI tuned controller to the system shows an improvement in terms of the transient response and also in terms of IAE controller evaluation. However, the system suffers a slight overshoot of about 4%. The application of IMC controller showed an improvement in terms of the zero overshoot and a slightly high IAE as compared to the GA tuned PI controller. This shows that GA tuned PI tuned controller has a significant performance improvement on the system for better return of investment, reduced human involvement and dispensation of uncontaminated liquid feed to birds in deep litter poultry system
A larger part of the populace in India is occupying horticulture. With regard to horticulture improvement, data and innovations have assumed a significant part in agricultural nations like communication technology, fuzzy logic, pesticides, etc. And also the livestock sector is one of the important sectors in agriculture. It contributes significantly to the economy. In any case, animal creation frameworks in India depend intensely on customary practices. The absence of information with respect to logical practices is a significant limitation to work on the efficiency of livestock. However, various communication technologies like the Internet, mobile phones, radio, and television are most important tools for communication providing knowledge and information to farmers about agriculture. Mobile phones can reduce the distance between the farmer and buyers. Now farmers directly communicate with buyers. Television is contributing much to circulating data around cultivation in emerging kingdoms. Internet is also playing the main role to communicate with people all over the world. The use of chemical pesticides both occupationally and ecologically causes a range of human health problems. Many pesticides are not degradable; they persist in soil and leach to groundwater. In India pesticide from proper utilization of livestock waste is a good pesticide for crop without any side effects. Economic sectors are carried act by public sector agencies; centralized extension services have rarely made transmission of information on livestock production. By that time, various information and technologies are associated with the development of agriculture and livestock.
