1
|
Li M, Zhou Z, Zhang Q, Zhang J, Suo Y, Liu J, Shen D, Luo L, Li Y, Li C. Multivariate analysis for data mining to characterize poultry house environment in winter. Poult Sci 2024; 103:103633. [PMID: 38552343 PMCID: PMC11000107 DOI: 10.1016/j.psj.2024.103633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 03/04/2024] [Accepted: 03/05/2024] [Indexed: 04/11/2024] Open
Abstract
The processing and analysis of massive high-dimensional datasets are important issues in precision livestock farming (PLF). This study explored the use of multivariate analysis tools to analyze environmental data from multiple sensors located throughout a broiler house. An experiment was conducted to collect a comprehensive set of environmental data including particulate matter (TSP, PM10, and PM2.5), ammonia, carbon dioxide, air temperature, relative humidity, and in-cage and aisle wind speeds from 60 locations in a typical commercial broiler house. The dataset was divided into 3 growth phases (wk 1-3, 4-6, and 7-9). Spearman's correlation analysis and principal component analysis (PCA) were used to investigate the latent associations between environmental variables resulting in the identification of variables that played important roles in indoor air quality. Three cluster analysis methods; k-means, k-medoids, and fuzzy c-means cluster analysis (FCM), were used to group the measured parameters based on their environmental impact in the broiler house. In general, the Spearman and PCA results showed that the in-cage wind speed, aisle wind speed, and relative humidity played critical roles in indoor air quality distribution during broiler rearing. All 3 clustering methods were found to be suitable for grouping data, with FCM outperforming the other 2. Using data clustering, the broiler house spaces were divided into 3, 2, and 2 subspaces (clusters) for wk 1 to 3, 4 to 6, and 7 to 9, respectively. The subspace in the center of the house had a poorer air quality than other subspaces.
Collapse
Affiliation(s)
- Mingyang Li
- Research Center for Livestock Environmental Control and Smart Production, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu Province 210095, China
| | - Zilin Zhou
- Research Center for Livestock Environmental Control and Smart Production, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu Province 210095, China
| | - Qiang Zhang
- Univ Manitoba, Department of Biosystems Engineering, Winnipeg, MB R3T 5V6, Canada
| | - Jie Zhang
- Research Center for Livestock Environmental Control and Smart Production, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu Province 210095, China
| | - Yunpeng Suo
- Research Center for Livestock Environmental Control and Smart Production, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu Province 210095, China
| | - Junze Liu
- Research Center for Livestock Environmental Control and Smart Production, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu Province 210095, China
| | - Dan Shen
- Research Center for Livestock Environmental Control and Smart Production, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu Province 210095, China
| | - Lu Luo
- Research Center for Livestock Environmental Control and Smart Production, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu Province 210095, China
| | - Yansen Li
- Research Center for Livestock Environmental Control and Smart Production, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu Province 210095, China
| | - Chunmei Li
- Research Center for Livestock Environmental Control and Smart Production, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu Province 210095, China.
| |
Collapse
|
2
|
Küçüktopçu E, Cemek B, Simsek H. Modeling Environmental Conditions in Poultry Production: Computational Fluid Dynamics Approach. Animals (Basel) 2024; 14:501. [PMID: 38338144 PMCID: PMC10854819 DOI: 10.3390/ani14030501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 01/27/2024] [Accepted: 02/01/2024] [Indexed: 02/12/2024] Open
Abstract
In recent years, computational fluid dynamics (CFD) has become increasingly important and has proven to be an effective method for assessing environmental conditions in poultry houses. CFD offers simplicity, efficiency, and rapidity in assessing and optimizing poultry house environments, thereby fueling greater interest in its application. This article aims to facilitate researchers in their search for relevant CFD studies in poultry housing environmental conditions by providing an in-depth review of the latest advancements in this field. It has been found that CFD has been widely employed to study and analyze various aspects of poultry house ventilation and air quality under the following five main headings: inlet and fan configuration, ventilation system design, air temperature-humidity distribution, airflow distribution, and particle matter and gas emission. The most commonly used turbulence models in poultry buildings are the standard k-ε, renormalization group (RNG) k-ε, and realizable k-ε models. Additionally, this article presents key solutions with a summary and visualization of fundamental approaches employed in addressing path planning problems within the CFD process. Furthermore, potential challenges, such as data acquisition, validation, computational resource requirements, meshing, and the selection of a proper turbulence model, are discussed, and avenues for future research (the integration of machine learning, building information modeling, and feedback control systems with CFD) are explored.
Collapse
Affiliation(s)
- Erdem Küçüktopçu
- Department of Agricultural Structures and Irrigation, Ondokuz Mayıs University, Samsun 55139, Türkiye;
| | - Bilal Cemek
- Department of Agricultural Structures and Irrigation, Ondokuz Mayıs University, Samsun 55139, Türkiye;
| | - Halis Simsek
- Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47907, USA;
| |
Collapse
|
3
|
Numerical Simulation of Airborne Disease Spread in Cage-Free Hen Housing with Multiple Ventilation Options. Animals (Basel) 2022; 12:ani12121516. [PMID: 35739853 PMCID: PMC9219489 DOI: 10.3390/ani12121516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 06/08/2022] [Accepted: 06/08/2022] [Indexed: 11/17/2022] Open
Abstract
The current ventilation designs of poultry barns have been present deficiencies with respect to the capacity to protect against disease exposure, especially during epidemic events. An evolution of ventilation options is needed in the egg industry to keep pace with the advancing transition to cage-free production. In this study, we analyzed the performances of four ventilation schemes for constraining airborne disease spread in a commercial cage-free hen house using computational fluid dynamics (CFD) modeling. In total, four three-dimensional models were developed to compare a standard ventilation configuration (top-wall inlet sidewall exhaust, TISE) with three alternative designs, all with mid-wall inlet and a central vertical exhaust. A one-eighth scale commercial floor-raised hen house with 2365 hens served as the model. Each ventilation configuration simulated airflow and surrogate airborne virus particle spread, assuming the initial virus was introduced from upwind inlets. Simulation outputs predicted the MICE and MIAE models maintained a reduced average bird level at 47% and 24%, respectively, of the standard TISE model, although the MIRE model predicted comparable virus mass fraction levels with TISE. These numerical differences unveiled the critical role of centrally located vertical exhaust in removing contaminated, virus-laden air from the birds housing environment. Moreover, the auxiliary attic space in the MIAE model was beneficial for keeping virus particles above the bird-occupied floor area.
Collapse
|
4
|
Ferraz PFP, de Andrade ET, Vilas Boas RB, Rezende RP, Yanagi Junior T, Barbari M. Three-Dimensional Simulation of the Temperature Distribution in a Commercial Broiler House. Animals (Basel) 2022; 12:ani12101278. [PMID: 35625123 PMCID: PMC9138098 DOI: 10.3390/ani12101278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 05/11/2022] [Accepted: 05/13/2022] [Indexed: 11/16/2022] Open
Abstract
The aim of this paper was to analyze, using computational fluid dynamics (CFD), a heating system in a commercial broiler house. Data were collected in a broiler house located in the western mesoregion of Minas Gerais, Brazil. The data were collected at 10 a.m. on the seventh day of chicks’ life in 16 points inside the house. A tetrahedral mesh was adopted for the simulation, and testing of the mesh yielded a geometry of 485,691 nodes. The proposed model was developed in a permanent state condition to simulate the temperature air inside the broiler house, and all other input variables were considered constant. The applied CFD technique resulted in satisfactory fitting of the air temperature variable along the broiler facility as a function of the input data. The results indicated that the model predicted the environmental conditions inside the broiler house very accurately. The mean error of the CFD model was 1.49%, indicating that the model is effective and therefore that it can be used in other applications. The results showed that the heating system provided favorable thermoneutral conditions for chicks in the biggest part of the broiler house. However, there were some areas with air temperature above and below the thermoneutral zone
Collapse
Affiliation(s)
- Patrícia Ferreira Ponciano Ferraz
- Department of Agricultural Engineering, Federal University of Lavras (UFLA), Lavras 37200-900, Brazil; (E.T.d.A.); (R.B.V.B.); (R.P.R.); (T.Y.J.)
- Correspondence:
| | - Ednilton Tavares de Andrade
- Department of Agricultural Engineering, Federal University of Lavras (UFLA), Lavras 37200-900, Brazil; (E.T.d.A.); (R.B.V.B.); (R.P.R.); (T.Y.J.)
| | - Regina Batista Vilas Boas
- Department of Agricultural Engineering, Federal University of Lavras (UFLA), Lavras 37200-900, Brazil; (E.T.d.A.); (R.B.V.B.); (R.P.R.); (T.Y.J.)
| | - Renan Pereira Rezende
- Department of Agricultural Engineering, Federal University of Lavras (UFLA), Lavras 37200-900, Brazil; (E.T.d.A.); (R.B.V.B.); (R.P.R.); (T.Y.J.)
| | - Tadayuki Yanagi Junior
- Department of Agricultural Engineering, Federal University of Lavras (UFLA), Lavras 37200-900, Brazil; (E.T.d.A.); (R.B.V.B.); (R.P.R.); (T.Y.J.)
| | - Matteo Barbari
- Department of Agriculture, Food, Environment and Forestry, University of Firenze, 13-50145 Firenze, Italy;
| |
Collapse
|