Development of a Small Scaled Microcontroller-Based Poultry Egg Incubation System

G. V. Kutsira, N. I. Nwulu, E. M. Dogo

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

11 Citations (Scopus)

Abstract

Owing to an increase in the commercial production of chickens and demand for local consumption as a source of protein in both rural and urban areas in developing countries. This paper proposes a cost-effective incubator for hatching poultry eggs with minimal human involvement. The paper describes the design and implementation of a prototype microcontroller-based electrical incubator system. The developed incubator has optimized temperature and humidity that facilitates higher hatchability rate provided that the egg fertility is high. The prototype incubator was evaluated by loading it with 6 presumed fertile eggs. The percentage of hatchability obtained was 67% (4 out of 6 egg). The remaining two eggs were not hatched as they may not have been fully fertilized.

Original languageEnglish
Title of host publication2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728129327
DOIs
Publication statusPublished - Sept 2019
Event2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019 - Malatya, Turkey
Duration: 21 Sept 201922 Sept 2019

Publication series

Name2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019

Conference

Conference2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019
Country/TerritoryTurkey
CityMalatya
Period21/09/1922/09/19

Keywords

  • Electrical incubator
  • hatchability
  • microcontroller
  • poultry
  • sensors

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Science Applications
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Computer Vision and Pattern Recognition
  • Control and Optimization
  • Signal Processing

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