A combined solution for flexible control of poultry houses. (12th March 2022)

• Record Type: Journal Article
• Authors: Schmidt, Lucas; Casanova, Dalcimar; Ribeiro, Richardson; Teixeira, Marcelo; Gomes, Heitor M.
• Is Part Of: International journal of computer applications technology. Volume 67:Number 2/3(2021)
• Page Start: 232
• Page End: 243
• Publication Date: 2022-03-12
• Subjects: intelligent systems -- poultry houses -- automatic control -- formal modelling -- application of artificial intelligence in poultry farming -- automatic intelligent control of poultry houses -- neural networks application -- bio-inspired control of poultry houses -- automated poultry farming -- temperature and humidity control in poultry houses; Technology -- Data processing -- Periodicals; 620.00285
• Languages: English
• ISSNs: 0952-8091

Abstract

In poultry houses, thermal comfort is decisive for maximising the feed conversion rate, a measure for successful production. As there are different automatic control options, that result in variable performance indexes, this paper reproduces, tests, and compares two of them: a reactive, that applies event-driven methods, and a bio-inspired, which is based on artificial intelligence techniques. As each approach adds specific advantages to the process control, we combine them into a single framework that gathers their best features. Simulations using real data show that temperature and humidity have been reproduced with 97% and 80% precision, respectively. In comparison, reactive and bio-inspired approaches show respectively accuracies of 90% and 82% for temperature, and 60% and 66% for humidity. Therefore, we conclude that our approach can improve both reactive and bio-inspired control, standing as a feasible and flexible alternative for the control of poultry houses.