Work

Decision support in precision sheep farming

Year: 2019

Type: article

Abstract: 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.

Source: IFAC-PapersOnLine

DOI: 10.1016/j.ifacol.2019.01.048

Authors: Éric Villeneuve, Audrey Abi Akle, Christophe Merlo, Dimitri Masson, Guillaume Terrasson, Alvaro Llaria

Institutions: Université de Bordeaux, École Supérieure des Technologies Industrielles Avancées, Laboratoire de l'Intégration du Matériau au Système

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: diamond

OpenAlex ID: W2912480646

FWCI: 2.006

Cites: 26

Cited by: 16

Related to: 10