Water Detection Based on an IoT Paradigm

The aim of this thesis is to make a study in the academic field by using my previous knowledge as much as possible. In this way, I will be able to improve my practical knowledge by making projects and the theoretical knowledge I have gained during my graduate education. If I have to explain my thesis project, elephants are highly developed animals in finding water, and their sense of smell in their noses is two times more developed than dogs so, the genome of the African elephant contains nearly 2000 olfactory genes[1]. They can find the location of the water by smelling from miles away, ”Apparently, an elephant’s nose is not only long but also superior,” said lead study author Yoshihito Niimura at the University of Tokyo to refer to this. Also Niimura, who referred to the fact that the sense of sight in primates develops so much, but the sense of smell is less developed compared to other creatures said; ”A consequence of our decreased confidence in smell as our visual acuity increases”. As the attachment to a sense organ increases, the sense organs that are not used in the development of that sense organ are more and more protected. While primates’ eyes are developing, the sense of smell of creatures such as elephants is also highly developed. For the reasons mentioned above people living in arid regions, even animals follow the elephants to find the water sources and satisfy their water needs. Elephants play a key role in this regard. In my thesis project, it is about following the elephant by placing a water detector, GPS module, and sim card module on the trunk or leg of the elephants in a steel case, in case the elephant finds a water source, sharing the location on the internet, and visualizing this location on the map. This location information will be shared with the whole world over the internet, in this way, it is to help people who are trying to find water by tracking elephants. In addition, using these data, the change of water resources according to time can be obtained and inferences can be made about the course of drought.