Abstract
In Pakistan, 70% of the population lives in villages, where the source of income depends upon agriculture, livestock, and poultry sheds. In order to produce maximum meat, milk and other products one should have to focus on the growth of the animals. There are some crucial factors like the temperature, humidity level and suitable air flow in the shed to remove waste gasses. These factors are monitored by using Mamdani model based upon fuzzy logic technique to improve growth of animals. The main objective of this research is to design a controller and check out its simulation results to produce the most suitable results for the environment control of livestock sheds. The output parameters to control these inputs are Water sprinkler (Ws), Exhaust fan (Exf) and Auto Curtains (A.C). In this research, we focused on the Mamdani method in fuzzy logic to design fuzzy logic controller (FLC) to control the environmental parameters of a live stock shed in order to provide the most suitable conditions for the growth of animals.
Original language | English |
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Title of host publication | Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016 |
Editors | Shaozi Li, Yun Cheng, Ying Dai |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 963-967 |
Number of pages | 5 |
ISBN (Electronic) | 9781509025350 |
DOIs | |
State | Published - 31 Oct 2016 |
Externally published | Yes |
Event | 3rd International Conference on Information Science and Control Engineering, ICISCE 2016 - Beijing, China Duration: 8 Jul 2016 → 10 Jul 2016 |
Publication series
Name | Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016 |
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Conference
Conference | 3rd International Conference on Information Science and Control Engineering, ICISCE 2016 |
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Country/Territory | China |
City | Beijing |
Period | 8/07/16 → 10/07/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- Control Shed
- Environment Control
- Fuzzy Inference System
- Fuzzy Logic
- Fuzzy Logic Controller
ASJC Scopus subject areas
- Signal Processing
- Control and Systems Engineering
- Artificial Intelligence
- Information Systems
- Computer Networks and Communications
- Computer Vision and Pattern Recognition