TY - GEN
T1 - The Effect of Fuzzy Logic Controller (FLC) Implementation on Broiler Chicken Growth During Brooding Period
AU - Nur Fitriyanah, Ir Dwi
AU - Allam, Faalih
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - proper environmental management, such as temperature and humidity, plays a vital role in ensuring optimal growth and development during broiler chicken brooding period. However, this system has limitations in terms of long response times, leading to temperature and humidity Fluctuations. To overcome these issues, research has been conducted to test an alternative control system using Fuzzy Logic Controller (FLC). This study aims to implement FLC in broiler chicken brooding cages and evaluate its influence on the growth performance of chickens. The FLC system utilizes temperature and humidity as inputs, while the outputs are PWM values to control fan speed and lighting levels. Two groups of broiler chickens were involved in this research, with One group subjected to the ON-OFF control system and the other group subjected to the FLC control system. Chicken growth was evaluated based on body weight, feed consumption, and feed conversion ratio (FCR). Data was collected daily throughout the brooding period and analyzed statistically to compare the two groups. The research results indicate that the implementation of Fuzzy Logic Controller (FLC) in broiler chicken brooding has the potential to improve feed efficiency, as evidenced by a lower Feed Conversion Ratio (FCR) of 1.034 for the FLC group compared to 1.121 for the ON-OFF control group. These findings suggest that utilizing Fuzzy Logic Controller in broiler chicken brooding management enhances growth performance, leading to improved feed efficiency and potentially better overall development.
AB - proper environmental management, such as temperature and humidity, plays a vital role in ensuring optimal growth and development during broiler chicken brooding period. However, this system has limitations in terms of long response times, leading to temperature and humidity Fluctuations. To overcome these issues, research has been conducted to test an alternative control system using Fuzzy Logic Controller (FLC). This study aims to implement FLC in broiler chicken brooding cages and evaluate its influence on the growth performance of chickens. The FLC system utilizes temperature and humidity as inputs, while the outputs are PWM values to control fan speed and lighting levels. Two groups of broiler chickens were involved in this research, with One group subjected to the ON-OFF control system and the other group subjected to the FLC control system. Chicken growth was evaluated based on body weight, feed consumption, and feed conversion ratio (FCR). Data was collected daily throughout the brooding period and analyzed statistically to compare the two groups. The research results indicate that the implementation of Fuzzy Logic Controller (FLC) in broiler chicken brooding has the potential to improve feed efficiency, as evidenced by a lower Feed Conversion Ratio (FCR) of 1.034 for the FLC group compared to 1.121 for the ON-OFF control group. These findings suggest that utilizing Fuzzy Logic Controller in broiler chicken brooding management enhances growth performance, leading to improved feed efficiency and potentially better overall development.
KW - Broiler
KW - Brooding
KW - Fuzzy Logic Controller (FLC)
UR - http://www.scopus.com/inward/record.url?scp=85186525481&partnerID=8YFLogxK
U2 - 10.1109/ICAMIMIA60881.2023.10427634
DO - 10.1109/ICAMIMIA60881.2023.10427634
M3 - Conference contribution
AN - SCOPUS:85186525481
T3 - 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings
BT - 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023
Y2 - 14 November 2023 through 15 November 2023
ER -
