Environment Control System for Livestock Sheds Using Fuzzy Logic Technique

Zohaib Mushtaq, Akbare Yaqub, Muhammad Jabbar, Adnan Khalid, Saania Iqbal, Kamran Zeb, Abid A. Naqvi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

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 languageEnglish
Title of host publicationProceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016
EditorsShaozi Li, Yun Cheng, Ying Dai
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages963-967
Number of pages5
ISBN (Electronic)9781509025350
DOIs
StatePublished - 31 Oct 2016
Externally publishedYes
Event3rd International Conference on Information Science and Control Engineering, ICISCE 2016 - Beijing, China
Duration: 8 Jul 201610 Jul 2016

Publication series

NameProceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016

Conference

Conference3rd International Conference on Information Science and Control Engineering, ICISCE 2016
Country/TerritoryChina
CityBeijing
Period8/07/1610/07/16

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

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