L’élevage de précision : quelles conséquences pour le travail des éleveurs ?

Hostiou, Nathalie; Allain, Clément; Chauvat, Sophie; Turlot, Amélie; Pineau, Christèle; Fagon, Jocelyn

doi:10.20870/productions-animales.2014.27.2.3059

Cited by 11 publications

(5 citation statements)

References 29 publications

(37 reference statements)

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“…Some 35 of the 121 papers given at the EC-PLF Conference in 2019 explicitly addressed efficiency gains of PLF technologies [27]. Although still in relatively early stages of development, recent evidence shows that farmers and food chain actors are acquiring PLF technologies for a variety of reasons including the facilitation of their management roles and the improvement of their own well-being through reducing the workload especially for large herds and limiting repetitive tasks [28,29].…”

Section: The Promise Of Plfmentioning

confidence: 99%

Animal Welfare Management in a Digital World

Buller

Blokhuis

Lokhorst

et al. 2020

Animals

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Although there now exists a wide range of policies, instruments and regulations, in Europe and increasingly beyond, to improve and safeguard the welfare of farmed animals, there remain persistent and significant welfare issues in virtually all types of animal production systems ranging from high prevalence of lameness to limited possibilities to express natural behaviours. Protocols and indicators, such as those provided by Welfare Quality, mean that animal welfare can nowadays be regularly measured and surveyed at the farm level. However, the digital revolution in agriculture opens possibilities to quantify animal welfare using multiple sensors and data analytics. This allows daily monitoring of animal welfare at the group and individual animal level, for example, by measuring changes in behaviour patterns or physiological parameters. The present paper explores the potential for developing innovations in digital technologies to improve the management of animal welfare at the farm, during transport or at slaughter. We conclude that the innovations in Precision Livestock Farming (PLF) offer significant opportunities for a more holistic, evidence-based approach to the monitoring and surveillance of farmed animal welfare. To date, the emphasis in much PLF technologies has been on animal health and productivity. This paper argues that this emphasis should not come to define welfare. What is now needed is a coming together of industry, scientists, food chain actors, policy-makers and NGOs to develop and use the promise of PLF for the creative and effective improvement of farmed animal welfare.

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Section: The Promise Of Plfmentioning

confidence: 99%

Animal Welfare Management in a Digital World

Buller

Blokhuis

Lokhorst

et al. 2020

Animals

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“…The structural developments that are taking place, such as enlarging herds and land areas, reducing the family workforce and increasing the physical productivity of the worker, are contributing to a perceived deterioration of working conditions. The automation of certain tasks (robots for milking or feed distribution) is both a solution that limits routine tasks and a source of major changes in the relationship with work and with the animals (Hostiou et al 2014). In addition, in farms organized as companies, or in farms with paid employees, control and management are becoming more complex and the work issue is exacerbated.…”

Section: The Situation In France and Walloniamentioning

confidence: 99%

Advice and advisory roles about work on farms. A review

Dockès

Chauvat

Correa³

et al. 2018

Agron. Sustain. Dev.

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The organization of work and changes in patterns of working life is of increasing concern to farmers worldwide. This creates challenges for advisors, who do not always know (i) how to recognize farmers' or their own needs for knowledge and new approaches to farm work organization or (ii) how to assess different methods of advice to tackle this issue. How are advisors responding to this concern and what are the implications for advisory roles and the advisory situation? In this paper, we review the situation of farm work organization changes and advisory responses. We describe a conceptual framework integrating different foundations relating to work organization on farms, the farmer-advisor relationship and methods of advice. Applying this framework to farm work organization and advisory responses in Australia, Belgium, France and Uruguay, our findings are as follows: (i) the specific characteristics of work are a source of difficulties for both farmers and advisors; (ii) for the farmers, work is a very personal subject linked to identity; (iii) for the advisors, it requires different methods of advisory practice and skills; (iv) success of advisory roles in the context of farm work requires the control of various 'role statements'; and (v) the organizational framework in which advisors carry out their activity, as well as specific training, can make it easier to identify and organize the skills.

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“…Moreover, in a grazing system, the average behaviour of the whole herd is expressed as an indicator of the external and/or internal drivers of each animal in the herd; this is because measuring individual animals’ behaviour has been a challenge in the past, whereas individual animals vary in expressing distinct and consistent behaviour [ 33 ]. Recent advances in sensor-based Precision Livestock Farming (PLF) tools offer opportunities to automatically monitor and record grazing and rumination behaviours of individual animals on a real-time basis [ 34 , 35 , 36 ]. Over the last decade, growing appeals for PLF devices have increased the number of studies describing the eating and ruminating behaviours of dairy cows [ 37 , 38 ].…”

Section: Introductionmentioning

confidence: 99%

Factors Affecting Grazing and Rumination Behaviours of Dairy Cows in a Pasture-Based System in New Zealand

Iqbal

Draganova

Morel

et al. 2022

Animals

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This study investigated the variation in daily time spent grazing and rumination in spring-calved grazing dairy cows (n = 162) of three breeds, Holstein-Friesian (HFR), Jersey (JE), and KiwiCross (KC) with different breeding worth index, and in different years of lactation (1st, 2nd, 3rd, 4th). The cows were managed through a rotational grazing system and milked once a day at 05:00 a.m. The cows grazed mainly pasture and received supplementary feeds depending on the season. Automated AfiCollar device continuously monitored and recorded grazing time and rumination time of the individual cows throughout the lactation period for three study years (Year-1, Year-2, Year-3) with 54 cows per year. A general linear mixed model fitted with breed × lactation year with days in milk (DIM), breeding worth (BW) index value, individual cow, season, and feed, and their interactions was performed in SAS. Variance partitioning was used to quantify the effect size of study factors and their interactions. Individual cows, DIM, and BW (except Year-3) had effects on grazing and rumination times throughout the study years. Grazing time and rumination time were different for different seasons due to varying supplementary feeds. Grazing time varied among breeds in Year-2 and Year-3, and among lactation years only in Year-1. Although rumination time differed among breeds in Year-3, it remained the same within different lactation years. Grazing time and rumination time had a negative relationship with each other, and their regression lines varied for different seasons. The total variance explained by the model in grazing time was 36–39%, mainly contributed by the individual cow (12–20%), season (5–12%), supplementary feed (2–6%), breed (1–5%), and lactation year (1–6%). The total variance explained in rumination was 40–41%, mainly contributed by the individual cow (16–24%), season (2–17%), supplementary feed (1–2%), breed (2–8%), and lactation year (~1%). These findings could contribute to improving the measures for feed resource management during different seasons over the lactation period for a mixed herd comprising JE, HFR and KC breeds in different years of lactation.

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L’élevage de précision : quelles conséquences pour le travail des éleveurs ?

Cited by 11 publications

References 29 publications

Animal Welfare Management in a Digital World

Animal Welfare Management in a Digital World

Advice and advisory roles about work on farms. A review

Factors Affecting Grazing and Rumination Behaviours of Dairy Cows in a Pasture-Based System in New Zealand

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