Decision support in precision sheep farming
| Autor: | Dimitri Masson, Audrey Abi Akle, Eric Villeneuve, Christophe Merlo, Alvaro Llaria, Guillaume Terrasson |
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| Přispěvatelé: | ESTIA Recherche, Ecole Supérieure des Technologies Industrielles Avancées (ESTIA), Laboratoire de l'intégration, du matériau au système (IMS), Université Sciences et Technologies - Bordeaux 1-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS) |
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Decision support system Collective Decision 020208 electrical & electronic engineering Interoperability Context (language use) 02 engineering and technology Environmental economics Field (computer science) Sheep farming [SPI]Engineering Sciences [physics] 020901 industrial engineering & automation Work (electrical) Control and Systems Engineering Order (exchange) Heterogeneous data 0202 electrical engineering electronic engineering information engineering Precision livestock farming Business Productivity |
| Zdroj: | IFAC-Papers IFAC-PapersOnLine, Elsevier, 2018, Proceedings of the 2nd IFAC Conference on Cyber-Physical & Human-Systems, 51 (34), pp.236-241. ⟨10.1016/j.ifacol.2019.01.048⟩ |
| ISSN: | 2405-8963 |
| DOI: | 10.1016/j.ifacol.2019.01.048 |
| Popis: | While the 7 million-head French sheep industry is contracting, the average herd size is rising, providing challenging issues to maintain and improve its productivity. Precision Livestock Farming has allowed the sheeps and herds to be equipped with sensors and has a result the amount of data to be processed by farmers has surged. We argue that in order for the farmers to take appropriate actions there is a need for the development of a decision support system that take into account not only real-time data but also expert knowledge. In this work, we first highlight the specific challenges presented by the field of precision sheep farming to the development of a Cyber-Physical and Human System. We then introduce a methodology to implement a decision support in this context. |
| Databáze: | OpenAIRE |
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