Livestock stray and theft detection system based on web of things.

Abstract

Livestock farming is one of the most important and largest section of agricultural activity carried out in Uganda. Therefore, monitoring and control of livestock to avoid them from the risk of getting stolen or getting lost can prevent several losses like income and financial losses that may arise as an effect to such events. The main objective of the project was to design and developed a livestock stray and theft detection system based on web of things, the system allows real time monitoring of the livestock farm like shows the number of animals which came back from grazing, unauthorized movement of livestock out of the farm and intrusion into the livestock farm. The main aim of this project is to acquire real-time detailed information over the internet falling under the category of web of Things (WOT). Since the farm lands and livestock in Uganda are usually very large scale running into hundreds of acres, in most cases providing security to livestock farms on these large expanses of land can be prohibitively expensive and very stressful. Farmers therefore resort to building fences using sticks and ropes and these provide the only security measure they can adopt. These security measures are trivial and very ineffective as intruders can easily jump over them and cart away with livestock as they can carry without the knowledge of the owners, especially when such fences are built around dark crevices. Looking in to such problems, the web of things technology can be used to get real time information of the livestock farm and knowledge when an intrusion occurs then the necessary actions follow. The system includes PIR sensors that triggers a camera to take images, sends a message via GSM and route the image to a server via a router and Ethernet shield which can then be accessed by any browser supported device. Basing on analysis, the system can help livestock farmers to get real-time information about their farm, hence making them to get informed early and take immediate actions in the scenario of animals getting lost from the grazing land and intrusion or unnecessary movement out of the farm by the animals.