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.

Rasmus Køhler Fischer Head of Section, IPR and Technology Transfer Tel Mobile 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. The Inventors