
Jennifer SalauChristian-Albrechts-Universität zu Kiel | CAU · Institute of Animal Breeding and Husbandry
Jennifer Salau
Dr. rer. nat.
About
46
Publications
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295
Citations
Citations since 2017
Introduction
Jennifer Salau currently works at the Institute of Animal Breeding and Husbandry, Christian-Albrechts-Universität zu Kiel. Jennifer does research in Data Science, Image Processing, Precision Livestock Farming, and Animal Husbandry. Her current project is 'AniFair'.
Publications
Publications (46)
The aim of this study was to analyze the utilization of different stable areas of a total of 52 group-housed horses as well as their preferred stable parts and the use of resources. The study was situated in a “HIT Active Stable®” in Northern Germany for a period of 227 observation days. After dividing the whole farm area in a grid of 3 × 3 m, the...
The aim of this study was to determine the most suitable and practical definition of spatial and temporal proximities between grouped-housed horses by comparing GPS position data. In total, 43 horses held in a “HIT Active Stable®” were equipped with GPS loggers. Different definitions of spatial (≤ 1, 2, 3, 4, 5 m) and temporal proximity (≤ 10, 30,...
A loose-housing barn in Northern Germany with thirty-six Holstein Friesian dairy cows was fully monitored by video cameras. The barn was partitioned into the areas for lying cubicles, moving area, licking stone, cow brush, feeding and water troughs. From automatically detected cow activity, the cows’ proportional usage of the resources associated w...
Machine learning methods have become increasingly important in animal science, and the success of an automated application using machine learning often depends on the right choice of method for the respective problem and data set. The recognition of objects in 3D data is still a widely studied topic and especially challenging when it comes to the p...
With increasing herd sizes came an enhanced requirement for automated systems to support the farmers in the monitoring of the health and welfare status of their livestock. Cattle are a highly sociable species, and the herd structure has important impact on the animal welfare. As the behaviour of the animals and their social interactions can be infl...
Group housing is claimed to possibly provide horses with a species-appropriate movement possibility, and hence, better welfare. Thus, this study analyzed the daily walked distances of 51 horses held in one group in a “HIT Active Stable” (Hinrichs Innovation + Technik) in Northern Germany by using global positioning system (GPS) technology during a...
Sensors delivering information on the position of farm animals have been widely used in precision livestock farming. Global Positioning System (GPS) sensors are already known from applications in military, private and commercial environments, and their application in animal science is increasing. However, as trade-offs between sensor cost, battery...
As the presence of a human observer can influence the behaviour of animals, a camera based system in which the cows cannot leave the surveyed area, and that automatically detects the animals and the areas of the barn used, would be a beneficial tool to analyse dairy cattle herd activity. The aim of this study was to provide such a system and to dem...
Decreases in health, fertility, and longevity and also modified behavior are side effects of the breeding for high yielding cows, indicating a decrease in animal welfare. As efforts exist to include health and welfare traits in breeding objectives, the necessity is given to objectively evaluate e.g. udder, feet and legs, rump angle or body conditio...
Low cost off-the-shelf depth sensors Microsoft Kinect have already been used in studies related to body condition determination and lameness detection in dairy cows and the concept of a 3D cow scanning by combining the fields of view of six Kinect cameras being presented. The cow scanner was developed in an effort to remove if possible, the influen...
Microsoft Kinect systems have already been used for detecting lameness and determining body condition in dairy cattle. A combination of six Kinect cameras was used with the goal of measuring linear descriptive traits. To access the precision of measurements gathered with a fixed installed recording unit, front teats and ischial tuberosities were ma...
The average topological overlap of two graphs of two consecutive time steps measures the amount of changes in the edge configuration between the two snapshots. This value has to be zero if the edge configuration changes completely and one if the two consecutive graphs are identical. Current methods depend on the number of nodes in the network or on...
Previous studies dealing with network theory focused mainly on the static aggregation of edges over specific time window lengths. Thus, most of the dynamic information gets lost. To assess the quality of such a static aggregation the temporal correlation coefficient can be calculated. It measures the overall possibility for an edge to persist betwe...
Camera based systems in dairy cattle have been intensively studied over the last years. Past studies have concentrated on single camera systems with a limited range of applications. Here the development of a camera system comprising multiple 3D cameras (six Microsoft Kinect cameras) for monitoring purposes in dairy cows is presented. A recording un...
accepted abstract for poster presentation at EAAP2016, Belfast
accepted abstract for a poster presentation at EAAP 2016, Belfast
accepted abstract, presented at conference Precision Dairy Farming 2016 in Leeuwarden
Lameness is a great welfare and health problem in dairy cow husbandry and time consuming to detect. An automated monitoring system is of interest for scientists and farmers. Using 3D-head acceleration sensors is a new approach to detect lameness in dairy cows. Between February 2014 and March 2015, 70 cows at a German research farm were equipped wit...
Abstract Camera based systems in dairy cattle account for a high portion within the field precision
livestock farming. Overcoming the limited application range of single camera systems,
a system equipped with six Microsoft Kinect cameras is presented. It provides 3D data on a
high percentage of the cow’s surface, thus various kinds of functional tr...
Recent analyses of animal movement networks focused on the static aggregation of trade contacts over different time windows, which neglects the system’s temporal variation. In terms of disease spread, ignoring the temporal dynamics can lead to an over- or underestimation of an outbreak’s speed and extent. This becomes particularly evident, if the s...
Camera-based systems in dairy cattle were intensively studied over the last years. Different from this study, single camera systems with a limited range of applications were presented, mostly using 2D cameras. This study presents current steps in the development of a camera system comprising multiple 3D cameras (six Microsoft Kinect cameras) for mo...
With increasing herd sizes, camera based monitoring solutions rise in importance. 3D cameras, for example Time-Of-Flight (TOF) cameras, measure depth information. These additional information (3D data) could be beneficial for monitoring in dairy production. In previous studies regarding TOF technology, only standing cows were recorded to avoid moti...
accepted abstract for a presentation at EAAP 2015, Warsaw
As herd sizes have increased in the last decades, computerized monitoring solutions, which provide fast, objective and accurate evaluations of the herd status, gain more and more importance. This study analyzes the feasibility of a Time-of-Flight-camera-based system for gathering body traits in dairy cows for use under cow barn conditions. Recordin...
poster presented at WAFL 2014, Clermont-Ferrand
accepted abstract for presentation at EAAP 2014, Copenhagen
poster presented at EAAP 2014
Increasing milk production per cow over the last decades has led to a more intense negative energy balance and extended the duration of body fat mobilization. Management of body condition requires that body condition scores be evaluated on a visual basis. A more objective approach is the measurement of the backfat thickness (BFT) using an ultrasoun...
As herd sizes have increased in the last decades, computerized monitoring solutions, which provide fast, objective and accurate evaluations of the herd status, gain more and more importance. This study analyzes the feasibility of a Time-of-Flight-camera-based system for gathering body traits in dairy cows for use under cow barn conditions. Recordin...
The objective of the present study was to illustrate the possibilities of wavelet filtering to denoise hoof-acceleration data measured on different surfaces. Further, three variables from the time-domain acceleration signal and two variables from the single-sided amplitude spectrum of the Fourier-transformed signal were statistically analyzed to de...
The commonly used methods to estimate fat reserves of cows are body condition score (BCS) and backfat thickness (BFT). But these methods are subjected to restrictions regarding objectivity of results and amount of work. Therefore, a visual three-dimensional sensor systemhas been developed for the automatic determination of body conditionof cows dur...
accepted abstract for presentation at EAAP 2011, Stavanger
The aim of the present study was to clarify whether wavelet analysis could identify water intake variation due to health problems and to differentiate between healthy and treated sows. A total of 85 sows (Large White, German Landrace and their crossbreeds) in parities 1–6 were observed. Data were measured in the farrowing unit, beginning at the day...
Projects
Projects (3)
The goal was the automated determination of the body condition score of dairy cows by application of a Swiss Ranger 4000 3d-camera and image processing methods.
We developed a device comprising six Microsoft Kinect cameras to automate the conformation recording, i.e. the determination of linear traits, in dairy cows.