Chicken Farm Monitoring System

Amir, Nur Syamimi; Abas, Abdul Muiz Fathi Md.; Azmi, Nur; Abidin, Zaima Azira Zainal; Shafie, Amir Akramin

doi:10.1109/iccce.2016.39

Cited by 13 publications

(6 citation statements)

References 6 publications

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“…The search for more efficient solutions in broiler production requires optimizing a set of processes, which depend mainly on monitoring by sensors and equipment. In practice, it improves the use of tools by increasing precision, reducing errors, and supporting decision making (Sinduja et al, 2016;Amir et al, 2016;Yasmeen et al, 2019). The results of the present study suggest that this approach has the potential to improve strategies for controlling environmental conditions on farms during the production process, supporting automatic control.…”

Section: Resultsmentioning

confidence: 69%

Optimization Algorithm Applied to Environmental Control in Broiler Houses

Benvenga

Nääs

Lima

et al. 2020

Braz. J. Poult. Sci.

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The present study aimed to apply the Simulated Annealing (SA) optimization algorithm to find the ideal control of broiler housing rearing environment at 21, 28, 35, and 42 days of growth. Data from four types of houses using environmental control and similar flock density were recorded weekly in the morning and afternoon, during two seasons (summer and winter). The variables related to environmental and air quality data (temperature, relative humidity, air velocity, ammonia, and carbon dioxide concentrations) were registered and organized into the database to provide a descriptive analysis. The ideal rearing conditions were established as a goal, and we used the Simulated Annealing optimization algorithm to process the data. Such an approach may be applied in the cases that the ideal condition of optimization has multiple objectives, and when each variable is the result of a process. The model was implemented considering the optimal controlled environmental condition that depends on the age of broilers. Results indicated that there was a large dispersion of the data collected from the environmental variables. The process suggested that the optimized functions lead to absolute values obtained by the algorithm for each of the environmental factors of the controlled environmental system, representing the optimal condition of the environment found for each broiler age, considering the interactions of the variables. The maximum optimization was prominent to 21 and 35-d old birds, representing 40-48% of the improvement of the process. 28 and 42-d old birds might benefit from the controlled environmental optimization process by up to 30%.

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Section: Resultsmentioning

confidence: 69%

Optimization Algorithm Applied to Environmental Control in Broiler Houses

Benvenga

Nääs

Lima

et al. 2020

Braz. J. Poult. Sci.

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“…The poultry farm system of Li [9] presented only a monitoring system of the environmental parameters, and the system used a web page to monitor these parameters wirelessly. Amir et al [10] presented a design of wireless monitoring system, which can be used in a poultry farm, the monitoring function in this design was temperature, humidity, light and water level, and the design was based on Arduino. It also did not include gate monitoring and did not provide a specific monitoring page.…”

Section: Survey Of Related Workmentioning

confidence: 99%

Wireless Sensor Networks for Real-Time Monitoring and Controlling of Poultry Farm

Abdulwahab,

Waled,

Osman

et al. 2022

JTEC

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Modern technology exists to improve the quality and the quantity of the productions in many fields. It plays an important role in increasing production and reducing costs in poultry farming. Many factors affect the poultry farm’s amount of production, such as temperature, light, and water. Those factors must be monitored and controlled to achieve high production. This paper provides a real-time design of monitoring and controlling poultry farms which aimed to replace the traditional manual system with an advanced system. The design aimed to assist in raising the poultry farming production to satisfy the increasing demand for chicken products by providing a completely automatic system. The design is based on an Arduino controller and uses an XBee module to provide a wireless connection between the basic monitoring page and the hardware. The hardware connects a network of chicken houses. The hardware monitors and controls the temperature, light, and water supply system to avoid dryness problems. The design also ensures the gate security of the chicken corps by providing wireless monitoring of the gate status and firing an alarm when the gate is opened. The system was examined in different cases, and the simulation results were exact.

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“…After proper inspections, the chicken is transported to the food processing industry [5], [6] and [7]. In several countries, automation is done for feeding the chickens [8], [9], [10], [11], [12] and [13]. But such systems are almost non-existent in many developing and underdeveloped nations [14].…”

Section: Introductionmentioning

confidence: 99%

Designing a Poultry Barn: A Collaborative Design Approach Using Virtual Reality

Pradeep¹,

Selvabharathi²

2021

Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, In

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Visualizing a new design in Virtual Reality (VR) is now a part of product development pipeline in several industries. Several researchers have demonstrated attaining higher level of immersion by creating photoreal virtual environments and by using advanced devices which are now available in the market to get higher level of tracking accuracy and higher degree of interaction. In this work, we have explored the possibility of using the VR technology during the design phase with a multidisciplinary approach. Through this work, we have demonstrated that a regular Head Mounted Display (HMD) which lacks several features when compared to the pricier ones is sufficient for product development and visualization. Using VR, we even managed to design the building which will house the product that we developed. We have chosen a poultry farm that breeds chickens for this study and solved their problem of repetitive manual work by designing an automated feeding system. We manged to all this with the same virtual environment that we have developed for the purpose of this study.

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Chicken Farm Monitoring System

Cited by 13 publications

References 6 publications

Optimization Algorithm Applied to Environmental Control in Broiler Houses

Optimization Algorithm Applied to Environmental Control in Broiler Houses

Wireless Sensor Networks for Real-Time Monitoring and Controlling of Poultry Farm

Designing a Poultry Barn: A Collaborative Design Approach Using Virtual Reality

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