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University of Southern Denmark
February 2010
MoDest GrassUp
Technical Field
•Electronic Measuring instruments
•Wireless sensor networks
•Mathematical modelling (System
identification / Artificial Intelligence (AI))
• Software
Business Opportunity
• Licensing
• Investment
• Option deal
Current State of technology
• Off-the-shelf wireless sensors to
measure animal behaviour and
movements to some extents
Applications
Can be implemented in a herd
management software. Provides an
overview of the herd’s food uptake, herds’
behaviour (normal / abnormal) as well as
each individuals’ behaviour.
Product Advantages
The model can be used as a supplement to
normal herd management software. In
grazing seasons the present model can be
used to measure the individual cows grass
uptake whilst grazing. In so doing, the
model renders it possible to estimate the
cows’ need for supplementary feed stuff
in the barn or in the outside feeding
troughs, thus providing an easy to
implement method for optimizing on cows
uptake of grass and feed stuff, hence
optimizing on the cows milk production.
The Technology
The technology is one of a kind, as there is
no such mathematical model estimating
animal feed uptake available today. The
estimation of grass uptake, is based on
real time wireless sensor data, cow merit
and climate data. Relevant cow behaviour
data (such as location, movement velocity
of the cows while grazing and head
frequency movements) are measured
using wireless sensors (e.g.
accelerometers, magnetometers) and
collected by a wireless network. Grass
length and density are measured by NIR
spectroscopy.
Intellectual Property Rights
All intellectual property rights owned by
the University of Southern Denmark and
the Aarhus University. Patent application
filed December 2009.
The Inventors
Rasmus Nyholm Jørgensen
Associated Professor in Biosystem Engineering, University of
Southern Denmark
As an associated professor, Rasmus covers research and
teaching within Sensing and perception of biosystems including
computer vision and hyperspectral technologies, statistical
modeling of biosystem variables including design of
experiments, geostatistics and chemometric methods and
developing of robots that advances environmental efficient
bioproduction systems. He participate in promoting national
and international cooperation with the relevant authorities,
industry and other universities.
Esmaeil Shahrak Nadimi
Assistant Prof. at the faculty of Engineering. Institute of KBM.
University of Southern Denmark.
Esmaeil received his PhD on Electrical Engineering (Control
System Theory) from Aalborg University. His background is a
MSc in Electrical Engineering (Control System Theory) and a
BSc in Electrical Engineering (Biomedical Engineering). Esmaeils
primary research interests are: Wireless sensor network,
Control System Theory, Modeling, Artificial Intelligence.
Frank Willem Oudshoorn
Dr. ir. in Agronomy and technology assessment at Wageningen
university NL. Now employed at Aarhus University.
Professional experience: Agricultural advisor for roughage and
grazing practice, scientific manager of organic research station
Rugballegaard (Horsens, DK) and researcher at Aarhus
University , department for Biosystems Engineering,
Automation group. Research area, sensor registration of dairy
cows’ behavior , innovative technology for arable farming,
technology assessment.
Rasmus Køhler Fischer
Head of Section, IPR and Technology Transfer
Tel. +45 6550 1084
Mobile +45 6011 1084
Email: [email protected]