Aarhus Universitets segl

Dairy ICT; ICT in large and small dairy systems.

Projekter: ProjektForskning

  • Storm, Adam Christian (Deltager)
  • Bjerring, Martin (Deltager)
  • Munksgaard, Lene (Deltager)
  • Ingvartsen, Klaus Lønne (Deltager)
  • Knight, Chris (Deltager)
  • Berthelsen, Carsten (Andet)
  • Clausen, Jens Balslev (Andet)
  • Kyriazakis, Ilias (Deltager)
  • Andonovic, Ivan (Deltager)
  • Friggens, Nicolas (Deltager)
  • Berzaghi, Paolo (Deltager)
  • Roberts, David (Deltager)
  • Bruckmaier, Rupert (Deltager)
  • Sayers, Riona (Samarbejdspartner)
  • Københavns Universitet
  • Newcastle University, School of Agriculture Food and Rural Development
  • University of Strathclyde
  • INRA, Research Unit Systemic Modelling applied to Ruminants, AgroParisTech
  • University of Padua, Department of Animal Medicine, Production and Health
  • SAC, Dairy Research Centre, Dumfries
  • University of Bern
  • Research Officer, Teagasc, Fermoy
Se relationer på Aarhus Universitet


II. Objectives
The overall objective is the development of a blueprint for a set of practical, precision ICT- and robotic-based technologies that will assist in the sustainable and responsible management of dairy production units. By having a number of partners with unique skills and access to various types of dairy unit, we aim to produce technologies that will be relevant to large producers but also to small, family units. Our technologies will monitor animals and their environment, detect deviations from the normal state and either respond automatically to restore the normal state or issue an alert to husbandry staff. The project will focus on the most important wellbeing and productivity issues within dairy production, and it will advance monitoring and diagnosis capability from clinical states (mastitis, for instance) to sub-clinical states (lameness, for instance). The specific objectives are:
• To develop robust accelerometer-based technologies for sensing of feeding activity and locomotion in individual dairy cows, and determine their utility for early detection of off-feed situations and lameness
• To develop robust technologies for sampling of biomarkers related to wellbeing in cows that are amenable to subsequent automation
• To develop milk metabolomics analysis capable of detecting sub-acute ruminal acidosis
• To develop implementable, integrated sensor-based systems providing decision support tools for on-farm use. Two interlinked approaches will be taken to achieve this:
• To develop generic, real-time methods for efficient filtration, extraction and re-combination of information from diverse sensors to provide robust biological indicators.
• To develop tailored integrated solutions providing on-farm tools for monitoring nutritional status (digestive well-being, energy efficiency, etc.) and health status
III. Methods and proposed work plan, including work packages, deliverables, milestones and timetable (Gannt chart)
The basic means of achieving the objectives will be through a process of focused and significant advancement of two existing state of the art technologies, which are already in our possession (Herd Navigator milk metabolomics and Silent Herdsman accelerometer collars), in combination with development of automated biomarker sampling technologies. We will integrate these technologies using advanced teleonomic modeling to construct Decision Support Tools. To help us achieve our targets, in addition to the broad range of expertises present within the consortium, we also have access to academic and technological input from a number of collaborators, including several SMEs, who are our partners in a larger consortium. For instance, advice regarding automated NIR feed analysis will be available from UNIPD, whilst the Austrian SME 3
SmaXtec will provide advice regarding rumen pH sensing technology to support development of milk metabolomics. The work plan will involve animal scientists, engineers, veterinarians and computer scientists. The work plan comprises a total of ten Tasks, four of which are at the level of biological sensing (T.S.x), four at the level of teleonomic modeling (T.T.x) and two at the level of on-farm implementation (T.I.1). The first eight tasks will be accomplished within a two year timeframe, with the implementation tasks continuing into year 3.
Effektiv start/slut dato01/04/201331/03/2016

ID: 128997625