Abstract

This literature review documents behavioural differences in organic and conventional sheep and goats in Norway. Increased indoor space results in increased lying time, more synchronized lying behaviour, less displacements and higher milk yield in sheep, and increased lying time and lower frequency of agonistic behaviour in goats. Sheep and goats spend 45-50 % of their time outdoors when given access to an outdoor yard during winter. Under normal thermal conditions, fully fleeced sheep do not need solid floors of welfare reasons in Norway. Neither do dairy goats in insulated buildings. The significance of different milk feeding strategies in goat kids is poorly documented, but studies on lambs and calves show that suckling increases the growth rate, gives better social competence and more exploratory behaviour. Thus, the organic regulations in Norwegian sheep and goat production have some positive impact on behavioural indicators of sheep and goat welfare, especially during winter housing.

Abstract

In this study, a technique based on wireless sensor networks (WSN) for matching mother reindeer to their calves in order to identify the ownership of the calves is presented. This task is currently performed using manual techniques which are stressful on the animals and herders alike. Various potential WSN technologies are considered. RFID technology was given greater interest as it is widely used in animal identification. A method based on Wi-Fi enabled active RFID tags is proposed in this work. This technique entails the temporary attachment of Wi-Fi enabled RFID tags to the necks of the calf and mother reindeers and to monitor the location of those tags using the Wi-Fi network. A detailed discussion of localization algorithms to monitor the location of the tags and to determine the correlation between any pairs of tags which indicate mother and her calf is presented. This work aims to pave the way for the use of wireless sensor networks for the purpose of matching mother reindeer to their calves and for other matching purposes in animal welfare and industry.

Abstract

In this study, a technique based on wireless sensor networks (WSN) for matching mother reindeer to their calves in order to identify the ownership of the calves is presented. This task is currently performed using manual techniques which are stressful on the animals and herders alike. Various potential WSN technologies are considered. RFID technology was given greater interest as it is widely used in animal identification. A method based on Wi-Fi enabled active RFID tags is proposed in this work. This technique entails the temporary attachment of Wi-Fi enabled RFID tags to the necks of the calf and mother reindeers and to monitor the location of those tags using the Wi-Fi network. A detailed discussion of localization algorithms to monitor the location of the tags and to determine the correlation between any pairs of tags which indicate mother and her calf is presented. This work aims to pave the way for the use of wireless sensor networks for the purpose of matching mother reindeer to their calves and for other matching purposes in animal welfare and industry.