New PLF patent: System and Method for Real-Time Imaging of Body Composition Traits of Food Animals. DE Wilson, VR Amin – US Patent 20,170,354,123, 2017. A system and method for scanning a pig (or other food animal) to determine body composition and quality data in real time while the pig (or food animal) is suspended […]
New PLF publication by Hebei Agricultural University (China): Intelligent Monitoring System Based on Internet of Things J Tang, T Dong, L Li, L Shao – Wireless Personal Communications, 2018 https://link.springer.com/article/10.1007/s11277-017-5209-9 Abstract In order to better apply the intelligent environment quality monitoring system based on Internet of things to indoor environment monitoring, sensor technology, computer technology, […]
New PLF publication by Georg-August Universit (Germany: Using Acceleration Data to Automatically Detect the Onset of Farrowing in Sows, I Traulsen, C Scheel, W Auer, O Burfeind, J Krieter – Sensors, 2018 Abstract The aim of the present study was to automatically predict the onset of farrowing in crate-confined sows. (1) Background: Automatic tools are […]
Australasian Pork Research Institute Ltd seeks to invest Aus $3-million in Precision Livestock Farming: https://farmweek.com/april-gets-to-work-in-oz/ George Kittle Womens Jersey
19Gennaio
2018
The Royal Veterinary College (informally the RVC) is seeking a postdoctoral scientist (candidate must be from UK or EU) in animal welfare and precision livestock farming to work on a collaborative project with broiler chickens for a 15 month period with an immediate start. The focus will be on robot-bird interaction, welfare assessment and integration of sensor technology. More details are attached and applications can be made via the RVC Webpage: https://jobs.rvc.ac.uk/Vacancy.aspx?ref=PPS-0297-17 The deadline for applications is Tuesday Jan 30th and interviews are likely to be held the following week. For further information please contact Dr Theo Demmers tdemmers@rvc.ac.uk or Dr Siobhan Abeyesinghe sabeyesinghe@rvc.ac.uk For more information see the attached document. Andrew Ladd Womens Jersey
19Gennaio
2018
New PLF publication by Teagasc (www.teagasc.ie) The effect of dairy cow breed on milk production, cow traffic and milking characteristics in a pasture-based automatic milking system. J Shortall, C Foley, RD Sleator, B O’Brien – Livestock Science, 2018 http://dx.doi.org/10.1016/j.livsci.2018.01.002 Highlights · No differences observed between breeds for milking frequency or interval. · Norwegian Red x HF (NRX) had the shortest return time from pasture. · NRX recorded the shortest time waiting in the pre-milking yard. · Holstein Friesian (HF) and NRX cows trafficked to the yard in anticipation of the allocation of fresh pasture. · AM optimisation may be best achieved by a mixed breed herd rather than a single breed herd. Doug Flutie Jersey
19Gennaio
2018
Opinion of the Panel on Animal health and welfare of the Norwegian Scientific Committee for Food and Environment: A review on the use of electric devices to modify animal behaviour and the impact on animal welfare. https://brage.bibsys.no/xmlui/bitstream/handle/11250/2474441/Mejdell_2017_Are.pdf?sequence=2 Background: Animals have a strong aversion to electric shocks. Various types of electric equipment are used to modify the behaviour of animals by subjecting them to electric shocks. Outdoor electric fences are common among grazing animals in Norway and many other countries. The use of devices such as cow trainers in tie-stalls, electric goads in slaughter plants, and electric collars to teach dogs not to chase livestock, is regulated. The Norwegian Food Safety Authority (NFSA) is currently evaluating a virtual fence system, which delivers an electric shock if the animal crosses a defined boundary. As electric shocks are experienced as unpleasant or even painful, animals will try to avoid it. The intension of delivering such an aversive stimulus is to teach it how to avoid getting shocked again. In other words, the animal must to be able to associate the aversion with its own behaviour in order to avoid it. Predictability and controllability are two import factors, which determine how well an animal […]
19Gennaio
2018
USDA are buy developing Precision Livestock Farming solutions: http://www.agupdate.com/iowafarmertoday/news/livestock/precision-ag-tools-help-livestock-producers/article_cb653ac6-f639-11e7-9c02-cbbddc630574.html Wayne Ellington Womens Jersey
19Gennaio
2018
Australasian Pork Research Institute Ltd seeks to invest Aus $3-million in Precision Livestock Farming: https://farmweek.com/april-gets-to-work-in-oz/ George Kittle Womens Jersey
19Gennaio
2018
New PLF publication by Georg-August Universit (Germany: Using Acceleration Data to Automatically Detect the Onset of Farrowing in Sows, I Traulsen, C Scheel, W Auer, O Burfeind, J Krieter – Sensors, 2018 Abstract The aim of the present study was to automatically predict the onset of farrowing in crate-confined sows. (1) Background: Automatic tools are appropriate to support animal surveillance under practical farming conditions. (2) Methods: In three batches, sows in one farrowing compartment of the Futterkamp research farm were equipped with an ear sensor to sample acceleration. As a reference video, recordings of the sows were used. A classical CUSUM chart using different acceleration indices of various distribution characteristics with several scenarios were compared. (3) Results: The increase of activity mainly due to nest building behavior before the onset of farrowing could be detected with the sow individual CUSUM chart. The best performance required a statistical distribution characteristic that represented fluctuations in the signal (for example, 1st variation) combined with a transformation of this parameter by cumulating differences in the signal within certain time periods from one day to another. With this transformed signal, farrowing sows could reliably be detected. For 100% or 85% of the sows, an alarm […]
19Gennaio
2018
New PLF publication by Hebei Agricultural University (China): Intelligent Monitoring System Based on Internet of Things J Tang, T Dong, L Li, L Shao – Wireless Personal Communications, 2018 https://link.springer.com/article/10.1007/s11277-017-5209-9 Abstract In order to better apply the intelligent environment quality monitoring system based on Internet of things to indoor environment monitoring, sensor technology, computer technology, wireless communication and the Internet are combined through the Internet and sensors. With the Internet of things technology, a monitoring system based on Internet of things and networking is established to provide remote indoor environment information monitoring service for users. Taking ZigBee as the core to build the system, real time acquisition and monitoring for indoor temperature, humidity, carbon dioxide concentration, light intensity and other environmental information are realized by using relevant sensors. In system design, serial port is taken as the main channel for information exchange between ZigBee chip and ARM development board. The ARM processor connects the information to the Internet, and users can check the information collected by the system through the internet. The design of the system adopts the method with simplified design, which narrows the system structure. The different hardware composition is replaced according to different functional requirements. Therefore, the […]
19Gennaio
2018
New PLF patent: System and Method for Real-Time Imaging of Body Composition Traits of Food Animals. DE Wilson, VR Amin – US Patent 20,170,354,123, 2017. A system and method for scanning a pig (or other food animal) to determine body composition and quality data in real time while the pig (or food animal) is suspended in mid-air by a lift apron in electronic communication with an ultrasound console and computer processor and configured to collect and process “target images” from the pig (or food animal) when a thumb switch activates the processor. The ultrasound probe is vertically displaced from and vertically adjustable relative to the framework so that the ultrasound probe is selectively positioned in relative space. With reference to target images, a processor calculates in real time a quantitative measurement indicative of backfat depth, muscle depth, and intramuscular fat for the pig (or food animal) being scanned. Edinson Volquez Womens Jersey
19Gennaio
2018
New PLF publication by Instituto de Investigación en Señales (Argentina). A pattern recognition approach for detecting and classifying jaw movements in grazing cattle JO Chelotti, SR Vanrell, JR Galli, LL Giovanini… – Computers and Electronics …, 2018. https://doi.org/10.1016/j.compag.2017.12.013 Highlights · An intelligent algorithm for monitoring the livestock grazing behavior is presented. · The three basic grazing events are detected and classified from acoustic signals. · Several combinations of signal processing and machine learning methods are evaluated. · Different adaptive filters are considered in order to remove trends in noisy signals. · It achieves an improvement of 10% over existing methods at a low computational cost. Keith Hernandez Jersey
7Febbraio
2018
OPEN POSITION: The Ohio State University seeks qualified candidates for a 9 month, tenure-track faculty position available in Wooster starting on Aug. 16, 2018. Department: Food, Agricultural and Biological Engineering and Animal Sciences Position: Precision Livestock Production Systems Rank: Assistant Professor For more information see the attached document. Pedro Martinez Womens Jersey
23Febbraio
2018
We are glad to announce that a new postdoc 3 years position is opening at Agroscope. Agroscope is the Federal Research Organization for agriculture in Switzerland. They are looking for a person with a strong statistical background. German language skills are not a requirement. However, the willingness to learn some German would be useful. For further information: Dr. Christina Umstätter christina.umstaetter@agroscope.admin.ch Jonathan Ogden Jersey
20Settembre
2018
The Department of Animal Sciences seeks to fill a position for an Assistant Professor in Precision Animal Management.The Department of Animal Sciences makes discoveries contributing to a safe, nutritious, sustainable, and affordable food supply that enhances the well-being of humans and animals. Through internationally-recognized programs involving research, teaching, and outreach, our faculty are helping solve some of our world’s greatest challenges. We invite candidates interested in conducting research on the relations and interactions between livestock species and their environment in collaboration with top-notch engineering and computer science expertise. Applicants should have a strong scholarly record of using applied data science techniques to ultimately improve welfare and production efficiency of livestock species and maximize environmental stewardship of agricultural operations. In addition, the successful candidate must be able to work collaboratively with faculty and students of the department, the college, and the university in areas relevant to this position. Find out more career_illinois Geronimo Allison Authentic Jersey
29Luglio
2021
Proceedings_ECPLF 2011 Conference
29Luglio
2021
Proceedings_ECPLF 2013 Conference
29Luglio
2021
Proceedings_ECPLF 2015 Conference
29Luglio
2021
Proceedings_ECPLF 2017 Conference
29Luglio
2021
Proceedings_ECPLF 2019 Conference
1Agosto
2022
The University of Veterinary Medicine, Vienna is active in teaching and research and provides services in connection with ensuring animal health in Austria. These tasks represent our contribution to maintaining the health of humans and their animal companions as well as to producing healthy food. Working group “Pigs and PLF” in collaboration with the PLF HUB (both at the Institute of Animal Welfare Science) and the Institute for Computational Medicine are looking for a PhD student in image analysis for automatized assessment of body condition in gravid sows Grade: B1Level of employment: 30 hoursLength of employment: 3 yearsDeadline for applications: 31.08.2022 The Working group “Pigs and PLF” and the Precision Livestock Farming (PLF) HUB are part of Vetmeduni Vienna, ranked 8th worldwide (2021 Shanghai Ranking for Universities, Veterinary Sciences) and located in Vienna, consistently ranking as one of the most liveable cities in the world.Both groups’ research focuses commercial pig production and on assisting the management of animals by continuous, automated, real-time monitoring of production/reproduction, health and welfare, hence integrating a bioengineering approach to human-animal interactions with broad applications and benefits. This PhD position is organised in collaboration between the Institute of Animal Welfare Science (Working group Pigs and […]
29Ottobre
2024
Proceedings_ECPLF2022 Conference
