The act of analyzing, cleaning, modifying and modeling data to extract conclusions, find useful patterns and trends.
Published in Chapter:
Sustainable and Autonomous Soil Irrigation: Agro Smart Solution
Gonçalo Santos (Instituto Politécnico da Guarda, Portugal),
Gonçalo Vicente (Instituto Politécnico da Guarda, Portugal),
Telmo Salvado (Instituto Politécnico da Guarda, Portugal),
Celestino Gonçalves (Instituto Politécnico da Guarda, Portugal), Filipe Caetano (Instituto Politécnico da Guarda, Portugal), and Clara Silveira (Instituto Politécnico da Guarda, Portugal)
Copyright: © 2023
|Pages: 21
DOI: 10.4018/978-1-6684-9039-6.ch017
Abstract
Water scarcity is probably one of the most serious problems that humanity will have to face globally. For that reason, it will certainly be urgent to try to define practices and find solutions that, in a first phase, allow to mitigate the problem, but whose ultimate objective will be to overcome the situation. This chapter presents an irrigation system set on an internet of things platform, able to act in real time according to the atmospheric conditions. Through parameterized and automated systems, it is possible to stop the irrigation. Later, using sensors, the system may or may not be activated in case the levels of soil moisture and luminosity do not respond to the parameterized needs. It is an efficient and sustainable solution that is available for all agriculture irrigation systems. To test the proposed solution, unit tests were conducted, and a group of tests with all sensors connected was also considered. This system implements an alternative method for the data flow and its monitoring, including the fact that the system is aware of the user.