Construction of a statistical learning tool based on ordinary differential equations to model the digestive behaviour of ross chickens
Being able to monitor and forecast farm animal performances is a strategic problem in the agronomy industry. We use a Data-Model Coupling approach to build a biomimetic Statistical Learning tool taking into account some aspects of the biological dynamics of the animal body. The objective is to build...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2020-01-01
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| Series: | ESAIM: Proceedings and Surveys |
| Online Access: | https://www.esaim-proc.org/articles/proc/pdf/2020/01/proc206705.pdf |
| _version_ | 1797966727599882240 |
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| author | Bloyet Nicolas Flourent Hélène Frénod Emmanuel Handa Marouan Moundoyi Harold Phuong Thuy Vo Thi |
| author_facet | Bloyet Nicolas Flourent Hélène Frénod Emmanuel Handa Marouan Moundoyi Harold Phuong Thuy Vo Thi |
| author_sort | Bloyet Nicolas |
| collection | DOAJ |
| description | Being able to monitor and forecast farm animal performances is a strategic problem in the agronomy industry. We use a Data-Model Coupling approach to build a biomimetic Statistical Learning tool taking into account some aspects of the biological dynamics of the animal body. The objective is to build a tool which is able to assimilate data about daily feed consumption and measured performances.
The model encompasses several sub-models corresponding to compartments and permitting to mimic a kinetic process divided into several steps. Each sub-model contains parameters which can be learnt by using an optimization algorithm and data.
The goal of the first application of the model on field data was to simulate and predict the growth of chickens.
An experiment was performed during 70 days to collect every day the feed consumption and the weight gain of a male and a female chickens. After the learning of the model parameters, the model shows a very good approximation of the chicken’s weight evolution over time. |
| first_indexed | 2024-04-11T02:19:55Z |
| format | Article |
| id | doaj.art-ed020bbdf1af477086529d5805973977 |
| institution | Directory Open Access Journal |
| issn | 2267-3059 |
| language | English |
| last_indexed | 2024-04-11T02:19:55Z |
| publishDate | 2020-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ESAIM: Proceedings and Surveys |
| spelling | doaj.art-ed020bbdf1af477086529d58059739772023-01-03T00:13:40ZengEDP SciencesESAIM: Proceedings and Surveys2267-30592020-01-0167617110.1051/proc/202067005proc206705Construction of a statistical learning tool based on ordinary differential equations to model the digestive behaviour of ross chickensBloyet NicolasFlourent Hélène0Frénod EmmanuelHanda Marouan1Moundoyi Harold2Phuong Thuy Vo Thi3Université Bretagne Sud, Laboratoire de Mathématiques de Bretagne Atlantique,UMR CNRS 6205, Campus de TohannicUniversité de Picardie Jules Verne, LAMFA UMR 7352Sorbonne Université, PR UPMC, Laboratoire de Biologie Intégrative des Modèles MarinsUniversitè Paris 13 -Galilèe Institute -LAGABeing able to monitor and forecast farm animal performances is a strategic problem in the agronomy industry. We use a Data-Model Coupling approach to build a biomimetic Statistical Learning tool taking into account some aspects of the biological dynamics of the animal body. The objective is to build a tool which is able to assimilate data about daily feed consumption and measured performances. The model encompasses several sub-models corresponding to compartments and permitting to mimic a kinetic process divided into several steps. Each sub-model contains parameters which can be learnt by using an optimization algorithm and data. The goal of the first application of the model on field data was to simulate and predict the growth of chickens. An experiment was performed during 70 days to collect every day the feed consumption and the weight gain of a male and a female chickens. After the learning of the model parameters, the model shows a very good approximation of the chicken’s weight evolution over time.https://www.esaim-proc.org/articles/proc/pdf/2020/01/proc206705.pdf |
| spellingShingle | Bloyet Nicolas Flourent Hélène Frénod Emmanuel Handa Marouan Moundoyi Harold Phuong Thuy Vo Thi Construction of a statistical learning tool based on ordinary differential equations to model the digestive behaviour of ross chickens ESAIM: Proceedings and Surveys |
| title | Construction of a statistical learning tool based on ordinary differential equations to model the digestive behaviour of ross chickens |
| title_full | Construction of a statistical learning tool based on ordinary differential equations to model the digestive behaviour of ross chickens |
| title_fullStr | Construction of a statistical learning tool based on ordinary differential equations to model the digestive behaviour of ross chickens |
| title_full_unstemmed | Construction of a statistical learning tool based on ordinary differential equations to model the digestive behaviour of ross chickens |
| title_short | Construction of a statistical learning tool based on ordinary differential equations to model the digestive behaviour of ross chickens |
| title_sort | construction of a statistical learning tool based on ordinary differential equations to model the digestive behaviour of ross chickens |
| url | https://www.esaim-proc.org/articles/proc/pdf/2020/01/proc206705.pdf |
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