N. Hostiou, J. Fagon, S. Chauvat, A. Turlot, F. Kling-Eveillard, X. Boivin, Clément Allain
{"title":"Conséquences de l'élevage de précision sur le travail et les relations homme-animal en élevage laitier (synthèse bibliographique)","authors":"N. Hostiou, J. Fagon, S. Chauvat, A. Turlot, F. Kling-Eveillard, X. Boivin, Clément Allain","doi":"10.25518/1780-4507.13706","DOIUrl":null,"url":null,"abstract":"Introduction. With increasing herd sizes and decreasing workforce availability, precision livestock farming (PLF) is being developed in the dairy sector to facilitate herd monitoring. A desire to reduce the drudgery of repetitive tasks is another factor contributing to the adoption of PLF. This study, based on a review of the scientific literature, focuses on the impact of PLF on the profession and work organization of dairy farmers. Literature. Time savings are observed because robots and sensors take on recurrent physical tasks (milking, feeding) while simplifying the monitoring of animals (heat, health problems, etc.). Farmers appreciate the additional flexibility in organizing their work. The information provided can reduce the mental workload due to the anticipation of events (insemination, health problems). However, the mental workload can sometimes be increased due to the complexity of the information involved in managing the multiple alarms or alerts and equipment failures. The relationship between farmers and their animals is also modified. Conclusions. Precision livestock farming can have a positive impact on dairy farmers' work and can be attractive for young people. However, if the tools are not adapted to farmers' needs and skills, PLF can also lead to negative impacts on farmers and animals. It is therefore critical to consider the different dimensions of farmers' work to facilitate their adoption of these new technologies.","PeriodicalId":55356,"journal":{"name":"Biotechnologie Agronomie Societe et Environnement","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2017-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biotechnologie Agronomie Societe et Environnement","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.25518/1780-4507.13706","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 8
Abstract
Introduction. With increasing herd sizes and decreasing workforce availability, precision livestock farming (PLF) is being developed in the dairy sector to facilitate herd monitoring. A desire to reduce the drudgery of repetitive tasks is another factor contributing to the adoption of PLF. This study, based on a review of the scientific literature, focuses on the impact of PLF on the profession and work organization of dairy farmers. Literature. Time savings are observed because robots and sensors take on recurrent physical tasks (milking, feeding) while simplifying the monitoring of animals (heat, health problems, etc.). Farmers appreciate the additional flexibility in organizing their work. The information provided can reduce the mental workload due to the anticipation of events (insemination, health problems). However, the mental workload can sometimes be increased due to the complexity of the information involved in managing the multiple alarms or alerts and equipment failures. The relationship between farmers and their animals is also modified. Conclusions. Precision livestock farming can have a positive impact on dairy farmers' work and can be attractive for young people. However, if the tools are not adapted to farmers' needs and skills, PLF can also lead to negative impacts on farmers and animals. It is therefore critical to consider the different dimensions of farmers' work to facilitate their adoption of these new technologies.
期刊介绍:
BASE publishes original papers in the fields of life sciences: environmental science and technology, forest and natural space management, agronomical science, and chemistry and bio-industries.