DeLaval International AB

Tumba, Sweden

DeLaval International AB

Tumba, Sweden
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News Article | December 21, 2016

According to the market research report "Service Robotics Market by Operating Environment (Aerial, Ground, Marine), Application (Professional, Personal), and Geography (North America, Europe, Asia-Pacific, and Row) - Global Forecast to 2022", published By MarketsandMarkets, the service robotics market is expected to reach USD 23.90 Billion by 2022, at a CAGR of 15.18% between 2016 and 2022.     (Logo: ) Early buyers will receive 10% customization on this report. The growth in Service Robotics Market is expected to be driven by rising demand for mobile-robotic solution across warehouse automation and logistics, and high demand from medical and healthcare sectors, and increasing usage of service robotics in education and research institutes. The short- to medium-term payback period supported by higher RoI is another factor leading to the growth of service robotics market in the near future. The market for ground-based service robots expected to grow at the highest rate during the forecast period The market for ground-based service robotics systems is expected to grow at the highest rate during the forecast period. Growing usage of AGVs and other service robots for automating the warehouses across the globe is key driving factor for the said market. The estimated increase in the demand for personal service robots, apart from the increase in demand for logistics and telepresence robots, is another key factor likely to drive the market for ground-based service robots. Professional service robots held the largest market share of the service robotics market in 2015 Professional service robotics is currently most widely developed and deployed application area of service robots in terms of market value. The market is expected to be driven by the increase in demand for logistics applications. However, other emerging professional applications such as telepresence and inspection and maintenance are expected to fuel the overall service robotics market during the forecast period. Europe held the largest market in 2015, followed by North America and Asia-Pacific for service robots. The growth in the European market was driven by the demand for service robots in defense, domestic robots, and education and research and hobbyist sectors. Additionally, the marine, milking robots, and logistics robots are further expected to add to the growth of market in Europe region. The U.K. held the largest share of the European service robotics market owing to significant adoption rate among elderly healthcare and the personal assistance robots. The costs of manufacturing robotics components are also decreasing steadily because of the increasing technological breakthroughs. Major players in this market include Northrop Grumman Corporation (U.S.), KUKA AG (Germany), iRobot Corporation (U.S.), Kongsberg Maritime AS (Norway), DJI (China), Intuitive Surgical, Inc. (U.S.), Parrot SA (France), GeckoSystems  Intl. Corp. (U.S.), Honda Motor Co. Ltd. (Japan), Adept Technology, Inc. (U.S.), Bluefin Robotics- now wholly owned subsidiary of General Dynamics Mission Systems, Inc. (U.S.), ECA Group (France), Aethon Inc. (U.S.), DeLaval International AB (Sweden), and Lely Holding S.a.r.l. (Netherlands). Collaborative Robots Market by Payload (Up to 5 Kg, Up to 10 Kg, & Above 10 Kg), Application, Industry and Geography - Global Forecast to 2022 Drones Market by Type (Fixed Wing, VTOL, STUAS, MALE, HALE, UCAS ), Payload (Up to 25 Kg, Up to 150 Kg, Up to 600 Kg, Above 600 Kg), Application (Precision Agriculture, Retail, Media & Entertainment), Component, and Geography - Global Forecast to 2022 MarketsandMarkets is the largest market research firm worldwide in terms of annually published premium market research reports. Serving 1700 global fortune enterprises with more than 1200 premium studies in a year, M&M is catering to a multitude of clients across 8 different industrial verticals. We specialize in consulting assignments and business research across high growth markets, cutting edge technologies and newer applications. Our 850 fulltime analyst and SMEs at MarketsandMarkets are tracking global high growth markets following the "Growth Engagement Model - GEM". The GEM aims at proactive collaboration with the clients to identify new opportunities, identify most important customers, write "Attack, avoid and defend" strategies, identify sources of incremental revenues for both the company and its competitors. M&M's flagship competitive intelligence and market research platform, "RT" connects over 200,000 markets and entire value chains for deeper understanding of the unmet insights along with market sizing and forecasts of niche markets. The new included chapters on Methodology and Benchmarking presented with high quality analytical info graphics in our reports gives complete visibility of how the numbers have been arrived and defend the accuracy of the numbers. We at MarketsandMarkets are inspired to help our clients grow by providing apt business insight with our huge market intelligence repository. 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Agency: European Commission | Branch: FP7 | Program: MC-ITN | Phase: FP7-PEOPLE-ITN-2008 | Award Amount: 2.47M | Year: 2009

The combination of new technology with biology offers high opportunities for EU in terms of realising and implementing directives in different applications as well as economic terms. The main problem however is that people educated in biology are not aware of the possibilities of modern technology. At the same time technical people developing technology are not participating to the world of bio-processes. The objective is to train biologically educated people to collaborate with technology driven people. In this regard, they will be trained in research, product definition and development, marketing and sales for bio-business in EU. Our goal is to fill the gap of the education that veterinarians, animal scientists and bio-engineers receive introducing them to emerging technologies and lead them to the practical use of their science. This is achieved by making them work as part of a team that is realising a new product for biological processes. Also, the fellows that will be affiliated with academic partners will be encouraged to obtain a PhD and follow the necessary courses by the affiliated doctoral schools. Finally, additional training events have been foreseen to cover the topics that are considered of significant importance. The network will focus on research that will enhance animal welfare and health management. The main areas of interest are behaviour monitoring, disease detection and monitoring, growth monitoring and management. The research outcome will lead to new knowledge in concepts and understanding. Also, mathematical modelling techniques will be used that allow for the results to be quantified whilst providing insight of the biological process. The results of the individual fellows will then be evaluated by the industry and valorised. Researchers that will successfully complete the training program will be able to continue their career skills in different sectors of EU such as industry, civil service, academia, teaching or research institutions.

Meinl W.,German Institute of Human Nutrition | Tsoi C.,Astrazeneca | Tsoi C.,DeLaval International AB | Swedmark S.,Astrazeneca | And 4 more authors.
Mutagenesis | Year: 2013

The benzylic alcohols 1- and 2-hydroxy-3-methylcholanthrene (OH-MC) are major primary metabolites of the carcinogen 3-methylcholanthrene (MC). We investigated them for mutagenicity in TA1538-derived Salmonella typhimurium strains expressing mammalian sulphotransferases (SULTs). 1-OH-MC was efficiently activated by human (h) SULT1B1 (2400 revertants/nmol), weakly activated by hSULT1C3 and hSULT2A1 (2-9 revertants/nmol), but not activated by the other hSULTs studied (1A2, 1A3, 1C2 and 1E1). Mouse, rat and dog SULT1B1 activated 1-OH-MC (8-100 revertants/nmol) with much lower efficiency than their human orthologue. The other isomer, 2-OH-MC, was activated to a potent mutagen by hSULT1A1 (4000-5400 revertants/nmol), weakly activated by hSULT1A2 or hSULT2A1 (1-12 revertants/nmol), but not activated by the other hSULTs. In contrast to their human orthologue, mouse, rat and dog SULT1A1 did not appreciably activate 2-OH-MC (<1 to 6 revertants/nmol), either. Instead, mouse and rat SULT1B1, unlike their human and canine orthologues, demonstrated some activation of 2-OH-MC (15-100 revertants/nmol). Docking analyses indicated that 1- and 2-OH-MC might bind to the active site of hSULT1A1 and hSULT1B1, but only for (S)-2-OH-MC/hSULT1A1 and (R)-1-OH-MC/hSULT1B1 with an orientation suitable for catalysis. Indeed, 1- and 2-OH-MC were potent inhibitors of the hSULT1A1-mediated sulphation of acetaminophen [concentration inhibiting the enzyme activity by 50% (IC50) 15 and 13nM, respectively]. This inhibition was weak with mouse, rat and dog SULT1A1 (IC50 ≥ 4 μM). Inhibition of the SULT1B1 enzymes was moderate, strongest for 1-OH-MC/hSULT1B1. In conclusion, this study provides examples for high selectivity of bioactivation of promutagens by an individual form of human SULT and for pronounced differences in activation capacity between orthologous SULTs from different mammalian species. These characteristics make the detection and evaluation of such mutagens extremely difficult, in particular as the critical form may even differ for positional isomers, such as 1- and 2-OH-MC. Moreover, the species-dependent differences will complicate the verification of in vitro results in animal studies. © The Author 2013. Published by Oxford University Press on behalf of the UK Environmental Mutagen Society. All rights reserved.

Alvasen K.,Swedish University of Agricultural Sciences | Jansson Mork M.,Swedish University of Agricultural Sciences | Hallen Sandgren C.,DeLaval International AB | Thomsen P.T.,University of Aarhus | Emanuelson U.,Swedish University of Agricultural Sciences
Journal of Dairy Science | Year: 2012

An increase in on-farm mortality (euthanasia and death) in dairy herds has been reported in several countries in the last decade. This does not only imply possible problems with animal welfare, but it also causes economic losses to the farmer. The objective of this study was to evaluate time trends in on-farm dairy cow mortality in Sweden and identify potential herd-level risk factors. Data were retrieved on all Swedish dairy herds enrolled in the milk recording scheme between 2002 and 2010. Herds with a herd size of <20 cows or a mortality rate (MR) of >40 dead or euthanized cows per 100 cow-years were excluded. Two different models were used: 1 multiple-year analysis, which included 6,898 herds during the period 2002 to 2010 and 1 single-year analysis including 4,252 herds for the year 2010, where other variables that were not present during the entire multiple year study were analyzed. The outcome variable was the number of euthanized and dead cows per year and season. A negative binomial regression model, adjusted for clustering within herd, was applied to both models. Fixed effects in the multiple-year analysis were breed, calving interval, herd size, milk yield, region, season, pasture period, and year. The fixed effects in the single-year analysis were breed, calving interval, conventional versus organic farming, herd size, housing system, milk yield, region, and season. The results demonstrated that MR gradually increased from 5.1 to 6.6 events per 100 cow-years during the study period. Swedish MR are consequently on par with, or even greater than, MR among dairy herds in other comparable countries. Higher mortality was associated with larger herd size, longer calving intervals, and herds that had Swedish Holstein as the predominant breed. Lower mortality was observed in herds with a higher herd average milk yield, during the fall and winter, and in organically managed herds. There were regional differences in mortality. An interaction between herd size and season was found in both models. Also, an interaction between housing system and milk yield was found in the single-year analysis. This first assessment of on-farm mortality in Swedish dairy herds confirmed that the MR has increased over the last few years. The study also identified some herd-level risk factors. © 2012 American Dairy Science Association.

Alvasen K.,Swedish University of Agricultural Sciences | Roth A.,Swedish University of Agricultural Sciences | Jansson Mork M.,Vaxa Sverige | Hallen Sandgren C.,DeLaval International AB | And 2 more authors.
Animal | Year: 2014

Dairy cow mortality is an important animal welfare issue that also causes financial losses. The objective of this study was to identify farm characteristics and herd management practices associated with high on-farm cow mortality in Swedish dairy herds. A postal questionnaire was sent to farmers that had either high or low mortality rates for 3 consecutive years. The questionnaire consisted of five sections: 'About the farm', 'Milking and housing', 'Feeding', 'Routines' and 'Lame and sick cows'. A total of 145 questionnaires were returned (response rate=33%). Ten of the 77 characteristics investigated met the inclusion criteria for multivariable analysis. The final logistic regression model included: herd size, breed, use of natural service bull, bedding improvement frequency and pasture system. Herds with Swedish Holstein as the predominant breed (odds ratio (OR) 22.9, 95% confidence interval (CI) 5.2 to 101.8) or with mixed breeds (OR 5.5, 95% CI 1.7 to 17.5) had a greater risk of being high mortality herds than herds that were predominantly Swedish Red (OR 1). Herds larger than 100 cows (OR 19.6, 95% CI 3.5 to 110.4) and herds with 50 to 99 cows (OR 13.8, 95% CI 3.2 to 60.6) had greater risk of mortality than herds numbering 35 to 50 cows (OR 1). Being a high mortality herd was also associated with having cows on exercise lots during the summer season (OR 3.6, 95% CI 1.3 to 9.9) compared with on pasture. A missing answer on the question of bedding improvement frequency was associated with high mortality herds. Overall, this study suggests that characteristics that are related to intensification of the dairy industry are also associated with high on-farm mortality of dairy cows. © The Animal Consortium 2014.

Alvasen K.,Swedish University of Agricultural Sciences | Thomsen P.T.,University of Aarhus | Sandgren C.H.,DeLaval International AB | Mork M.J.,Vaxa Sverige | Emanuelson U.,Swedish University of Agricultural Sciences
Animal Welfare | Year: 2014

Increased on-farm cow mortality (ie unassisted death and euthanasia) has been demonstrated in Swedish dairy herds during the last decade. Identifying risk factors associated with type of death is needed for future work in reducing cow mortality rates. The objectives of this case-control study were to quantify the relative proportion of unassisted dead cows among cows that die on-farm, and to identify risk factors associated with unassisted death (as opposed to euthanasia). In Sweden, cadavers and animal waste products are being processed into biofuel at destruction plants. Two destruction plants were visited three times in 2011-2012. All dairy cows (n = 556) entering the plants were examined. Farmers that had sent the cows were contacted by telephone to verify type of death. Of the 433 dairy cows included in the analysis, 30% had died unassisted. A stillbirth rate above or equal to the median in the study material (7%) increased the risk for unassisted death. The proportion of unassisted dead cows was lower than that found in other countries. The results indicate that it might be possible to study euthanasia and unassisted death as one group in Swedish dairy cows, because only one factor differentiating between the two types of death was identified. However, unidentified risk factors may still differ and, possibly more importantly, welfare implications may also differ between the two types of death which implies the need to separate them in future studies. © 2014 Universities Federation for Animal Welfare.

Agency: European Commission | Branch: H2020 | Program: CSA | Phase: ISIB-02-2015 | Award Amount: 2.11M | Year: 2016

The Data Driven Dairy Decisions for Farmers (4D4F) thematic network will focus on the role which dairy animal and environmental sensors can play in collecting real time information to help make more informed decisions in dairy farming. The network will develop a Community of Practice comprised of farmers, farm advisors, technology suppliers, knowledge exchange professionals and researchers who will work together to debate, collect and communicate best practice drawn from innovative farmers, industry and the research community to facilitate the co-creation of best practice. The results will be communicated to farmers using best practice guides on the use of sensors and data analysis tools supported by videos, infographics and an online virtual warehouse of dairy sensor technologies. The network will include the development of Standard Operating Procedures (SOPs) which can be tailored to individual farms to help farmers and farm advisors adopt dairy sensor and data analysis technology. The SOPs will be developed by working groups of the Community of Practice including farmers, farm advisors, technology suppliers, knowledge exchange professionals and researchers, who will work together to develop farmer friendly SOPs. The on line Community of Practice and published communication tools will be complimented by on farm events and workshops to help farmers and farm advisors implement innovative sensor and data analysis technologies. The workshops and events will promote discussion between farmers and their peers on how best to use sensors and data analysis in their own businesses. This will lead to local peer to peer support to facilitate the adoption of data driven dairy decision making. The network will work closely with EIP Agri and at member state level it will work with existing EIP Operational Groups working on dairy data and sensors and, where suitable Operational Groups do not exist, it will work with local partners to develop new Operational Groups.

Alejandro M.,DeLaval International AB
Small Ruminant Research | Year: 2016

Use of automatic devices in milking parlour for sheep and goats is becoming more common. Automation can reduce milking time, saving labour force and simplifying milking routine. In combination with animal identification, farmer can register, store and analyse, all animal data coming from milking equipment and other equipment. Main automation equipments that are available for dairy sheep and goats farms are: automatic vacuum shut-off, milk recording, electronic identification, flock management software and sort gates. The above systems can help farmer to reduce overmilking, increase the health status of the animal, save time on daily task and collect necessary info to make the right decision at the right time. © 2016 Elsevier B.V.

DeLaval International AB | Date: 2013-10-28

A teatcup liner, for use in a method of providing enhanced teat massage during a milking operation, includes a cross-sectional shape defining plural corner portions and plural side portions with a first side portion being a weak side and each remaining side portion being a strong side; with the weak side having a greater flexibility than each strong side such that during a collapse phase, the collapse of the weak side occurring first and being greater than the collapse of each strong side creates an asymmetric pressure distribution with a greater pressurized area resulting in a prolonged contact surface against the teat end across a first surface region of the cross-sectional shape opposite the weak side as compared to a remainder of the cross-sectional shape, the increased pressurized area across the first surface region providing an enhanced teat massage during the collapse phase.

PubMed | University of Kiel, DeLaval International AB and Udder Health Systems Inc.
Type: Journal Article | Journal: The Journal of dairy research | Year: 2016

In a round liner barrel, the force of the closing liner is transferred by the two opposite sides of the liner wall to the teat apex. Liners with a multi-sided barrel shape close at three or more planes and distribute their force to a larger area of the teat apex. The objective of the study was to investigate effects of a liner with a multi-sided concave barrel design on the degree of teat-end hyperkeratosis, thickness and roughness, and on the time delay until thickness or roughness of teat-end hyperkeratosis responded to the experimental liner. The investigations were done on two dairy farms, one in USA and one in Germany. A split-udder arrangement of liners was used, and control treatment was a liner with round barrel shape. The test period comprised 14 weeks in the first study and 16 weeks in the second study. Thickness of teat-end hyperkeratosis was influenced by farm and test week. Roughness was influenced by farm, test week and treatment. In the first study, the incidence of rough teat-end hyperkeratosis was about 28 and 42% lower in teats milked with the experimental liner than in teats milked with the control liner by test weeks 11 and 14, respectively. In the second study, incidence of rough teat-end hyperkeratosis was rare in general, and in addition hardly occurred in teats milked with the experimental liner. The results indicate that the barrel design of the experimental liner causes similar effects on different farms but magnitude of the effect depends on initial incidence of teat end hyperkeratosis in the herd.

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