TY - GEN
T1 - Control of livestock waste odors using gas sensors and fuzzy logic
AU - Sugiarto, Kharis
AU - Rivai, Muhammad
AU - Irfansyah, Astria Nur
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - Pollution from livestock waste causes poor air quality. This can be a problem for animals and humans around the livestock. This study has designed and realized a control system of livestock waste odor using fuzzy logic method implemented on the Arduino Due microcontroller. This system employs metal oxide semiconductor gas sensors to measure waste odor levels and an electronic valve with a nozzle used for spraying the yucca schidigera liquid as a deodorizing agent. The experimental results show that the fuzzy logic controller can reduce the odor pollutant levels within 4.5 minutes. In the uncontrolled livestock waste odor, the ammonia and hydrogen sulfide levels are 9.93 ppm and 1.16 ppm, respectively. Meanwhile, in the controlled livestock waste odor, the ammonia and hydrogen sulfide levels are 1.18 ppm and 1.13 ppm, respectively.
AB - Pollution from livestock waste causes poor air quality. This can be a problem for animals and humans around the livestock. This study has designed and realized a control system of livestock waste odor using fuzzy logic method implemented on the Arduino Due microcontroller. This system employs metal oxide semiconductor gas sensors to measure waste odor levels and an electronic valve with a nozzle used for spraying the yucca schidigera liquid as a deodorizing agent. The experimental results show that the fuzzy logic controller can reduce the odor pollutant levels within 4.5 minutes. In the uncontrolled livestock waste odor, the ammonia and hydrogen sulfide levels are 9.93 ppm and 1.16 ppm, respectively. Meanwhile, in the controlled livestock waste odor, the ammonia and hydrogen sulfide levels are 1.18 ppm and 1.13 ppm, respectively.
KW - Fuzzy logic controller
KW - Gas sensor
KW - Livestock waste odor
KW - Yucca schidigera
UR - https://www.scopus.com/pages/publications/85073523270
U2 - 10.1109/ICTS.2019.8850955
DO - 10.1109/ICTS.2019.8850955
M3 - Conference contribution
AN - SCOPUS:85073523270
T3 - Proceedings of 2019 International Conference on Information and Communication Technology and Systems, ICTS 2019
SP - 81
EP - 86
BT - Proceedings of 2019 International Conference on Information and Communication Technology and Systems, ICTS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th International Conference on Information and Communication Technology and Systems, ICTS 2019
Y2 - 18 July 2019
ER -