Year: 2025
Type: article
Abstract: The green spaces, gardens and urban grasslands play a very important role in big cities since they help the regeneration of air polluted by the peoples’ daily activity. Although the automatic irrigation systems of these natural spaces are beginning to be improved, there is usually a fixed irrigation routine that does not take into account meteorological aspects such as the fact that it is raining or that the earth contains enough moisture to ensure the correct development of the grass. Taking into account these facts, this paper presents the design, development and test of an intelligent system for irrigation control of urban lawns. The system is based on the use of a multisensor node composed by humidity and temperature for soil and air, as well as a rain sensor. The multisensor node is controlled by an intelligent algorithm that takes into account the real time values provided by the sensors and the stored data of previous measurements. The intelligent algorithm is responsible for analyzing the data and deciding on the amount of water to be used in a given area. The multisensor node is integrated into a wireless sensor network that will allow us to control areas and specify different irrigation routines for areas with different requirements. Using actual annual meteorological values of Madrid (Spain) where different water requirements are observed throughout the year, the system's operation is simulated. The results show that for a landscaped area of about 140ha, we could save approximately the 6% of the irrigation water we would use in a fixed irrigation routine which would be equivalent to about 22 million liters of water.
DOI: 10.55041/ijsrem41530
Author: Sabavath Bala Naik
Institution: Guru Nanak Institutions
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: bronze
OpenAlex ID: W4407410006