A Methodology for Sustainable Farming Irrigation using WSN, NB-IoT and Machine Learning

With the quick advance of technology and the appearance of low cost/high performance solutions, it became possible to develop new solutions in order to achieve sustainability. This paper proposes a scheme for monitor and control farming irrigation in order to measure and administrate the right amount of water needed to avoid overirrigation, preventing and alerting to risk situations, that require immediate intervention. This paper provides a methodology for an IoT system with a wireless sensor network installed on the ground and a main server, running machine learning algorithms, to process the collected data. Communications will be conducted using NB-IoT and LoRa. In order to give the owner the capability of consult the collected data and control his property, an iOS application completes the methodology, allowing the system to be remote and to be used anywhere, only requiring an internet connection.