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Design and implementation of a hybrid IoT system of data collection and visualization

To carry out a scientific study on a given problem (medical, environmental, etc.), it is often necessary to have recourse to a reliable dataset. In Africa, access to data is generally a problem for the scientific community. Most of the existing datasets are detained by some tiers organization who often do not give access to it. To overcome these problems related to access to data, scientists generally use traditional methods (surveys, on-site readings, etc.) for their study. However, these methods are not only expensive, but also require a regular visit to the site for updates. In this article, we propose an autonomous solution for collecting and analyzing data based on the Internet of Things (IoT). The solution can be used to collect data of different kinds. Unlike traditional data collection methods, the proposed solution is much cheaper and allows real time data collection. To demonstrate its proper functioning, a practical case on the environmental data collection will be studied in this paper.