Hot topic: Automated assessment of reticulo-ruminal motility in dairy cows using 3-dimensional vision

Song, Xiangyu; Tol, P.P.J. van der; Koerkamp, P.W.G. Groot; Bokkers, E.A.M.

doi:10.3168/jds.2019-16550

Cited by 39 publications

(12 citation statements)

References 7 publications

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“…Recently, a low-cost 3-dimensional (3D) vision system was designed to automatically assess rumen motility (Song et al, 2019). This system remotely measures the morphological changes of the left paralumbar fossa of individual cows to identify ruminal contractions.…”

Section: Graphical Abstract Summarymentioning

confidence: 99%

“…The general health checks were performed independently, and the results were not shared with the farmer. The 3D vision system was designed to measure morphological changes of the left paralumbar fossa and estimate ruminal contraction frequency and rumen fill during each milking event, according to Song et al (2019). The system contained a 3D camera (Realsense D415, Intel) that was mounted on the left-side fence of the AMS.…”

Section: Automatic Assessment Of Dairy Cows' Rumen Function Over Time...mentioning

confidence: 99%

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Automatic assessment of dairy cows' rumen function over time and links to feed changes and milk production

et al. 2022

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Section: Graphical Abstract Summarymentioning

confidence: 99%

Section: Automatic Assessment Of Dairy Cows' Rumen Function Over Time...mentioning

confidence: 99%

Automatic assessment of dairy cows' rumen function over time and links to feed changes and milk production

et al. 2022

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“…This review identified imaging and video technologies as critical sensing tools developed over the last years, with a sharp expansion starting from the 2008-2011 four-year period (Figure 5d). For example, vision systems have been used for teat detection and positioning [76], health monitoring [77], body condition [78] and animal behaviour surveys [79]. Imaging and video techniques contributed increasing the efficiency and precision of several production stages and are likely to be further implemented in the future.…”

Section: Discussionmentioning

confidence: 99%

Challenges and Tendencies of Automatic Milking Systems (AMS): A 20-Years Systematic Review of Literature and Patents

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Brščić

Guo

et al. 2021

Animals

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Over the last two decades, the dairy industry has adopted the use of Automatic Milking Systems (AMS). AMS have the potential to increase the effectiveness of the milking process and sustain animal welfare. This study assessed the state of the art of research activities on AMS through a systematic review of scientific and industrial research. The papers and patents of the last 20 years (2000–2019) were analysed to assess the research tendencies. The words appearing in title, abstract and keywords of a total of 802 documents were processed with the text mining tool. Four clusters were identified (Components, Technology, Process and Animal). For each cluster, the words frequency analysis enabled us to identify the research tendencies and gaps. The results showed that focuses of the scientific and industrial research areas complementary, with scientific papers mainly dealing with topics related to animal and process, and patents giving priority to technology and components. Both scientific and industrial research converged on some crucial objectives, such as animal welfare, process sustainability and technological development. Despite the increasing interest in animal welfare, this review highlighted that further progress is needed to meet the consumers’ demand. Moreover, milk yield is still regarded as more valuable compared to milk quality. Therefore, additional effort is necessary on the latter. At the process level, some gaps have been found related to cleaning operations, necessary to improve milk quality and animal health. The use of farm data and their incorporation on herd decision support systems (DSS) appeared optimal. The results presented in this review may be used as an overall assessment useful to address future research.

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“…Image analysis and binocular vision techniques have been developed to monitor feeding in pigs (Yang et al, 2020) and poultry (Xiao et al, 2019), while sensor-based systems can monitor feed intake in goats (Campos et al, 2019) and turkeys (Chagneau et al, 2006). Technologies at phase P2 also introduced the possibility to use 3D-vision to automatically assess reticulo-ruminal motility in cattle (Song et al, 2019). Finally, drinking behavior can be monitored using RFID in pigs (Maselyne et al, 2016a) and a combination of sensors and RFID have been used in cattle (Williams et al, 2020).…”

Section: Technologies In Developmentmentioning

confidence: 99%

Exploring the Potential of Precision Livestock Farming Technologies to Help Address Farm Animal Welfare

2021

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The rise in the demand for animal products due to demographic and dietary changes has exacerbated difficulties in addressing societal concerns related to the environment, human health, and animal welfare. As a response to this challenge, Precision Livestock Farming (PLF) technologies are being developed to monitor animal health and welfare parameters in a continuous and automated way, offering the opportunity to improve productivity and detect health issues at an early stage. However, ethical concerns have been raised regarding their potential to facilitate the management of production systems that are potentially harmful to animal welfare, or to impact the human-animal relationship and farmers' duty of care. Using the Five Domains Model (FDM) as a framework, the aim is to explore the potential of PLF to help address animal welfare and to discuss potential welfare benefits and risks of using such technology. A variety of technologies are identified and classified according to their type [sensors, bolus, image or sound based, Radio Frequency Identification (RFID)], their development stage, the species they apply to, and their potential impact on welfare. While PLF technologies have promising potential to reduce the occurrence of diseases and injuries in livestock farming systems, their current ability to help promote positive welfare states remains limited, as technologies with such potential generally remain at earlier development stages. This is likely due to the lack of evidence related to the validity of positive welfare indicators as well as challenges in technology adoption and development. Finally, the extent to which welfare can be improved will also strongly depend on whether management practices will be adapted to minimize negative consequences and maximize benefits to welfare.

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Hot topic: Automated assessment of reticulo-ruminal motility in dairy cows using 3-dimensional vision

Cited by 39 publications

References 7 publications

Automatic assessment of dairy cows' rumen function over time and links to feed changes and milk production

Automatic assessment of dairy cows' rumen function over time and links to feed changes and milk production

Challenges and Tendencies of Automatic Milking Systems (AMS): A 20-Years Systematic Review of Literature and Patents

Exploring the Potential of Precision Livestock Farming Technologies to Help Address Farm Animal Welfare

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