Abstract

Green wall irrigation procedures are a particularly important and hard task, given that the quality of the green wall depends on them. There is currently a wide variety of irrigation programmers available, with a range of functions and prices, thereby replacing manual activities and making it easier to maintain green walls. This paper proposes the use of low-cost automated irrigation programmers via a freeware called Arduino. The system is based on air and substrate measurements to ensure optimal plant growth and high water-use efficiency. At certain thresholds, the irrigation system is activated. This not only makes irrigation more convenient but also helps to reduce energy consumption, increases irrigation efficiency and saves time. The data is then sent via Transmission Control Protocol using Internet of Things technology, in this case ThingSpeak. The platform compiles the data and presents them in simple graphical format, thus enabling real-time monitoring from wherever there is Internet access. Together with Arduino, the project incorporates the Raspberry pi system that operates like a database via Hypertext Transfer Protocol Wi-Fi received by a Structured Query Language (MySQL) server using Hypertext Preprocessor. These data are used for the subsequent analysis of green wall performance.

Highlights

  • The current debate concerning climate change has encouraged the use of plants to help mitigate some of the problems associated with a lack of green areas in cities, such as rising temperatures [1]

  • With the progress made in technology, the systems that we use daily have become ever-more automated, and green wall irrigation systems are no exception, given that this is a relatively recent technology that is still under development

  • The main objective of this work is to create an automated irrigation system that is remotely supervised and controlled from any mobile phone, computer, or tablet with internet connection using low cost materials that are easy to program, install, and acquire as Arduino UNO and Raspberry Pi systems, which are responsible for automating irrigation and collecting environmental data for green wall prototypes

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Summary

Introduction

The current debate concerning climate change has encouraged the use of plants to help mitigate some of the problems associated with a lack of green areas in cities, such as rising temperatures [1]. This lack of green spaces has led to a reduction in evapotranspiration and the normal infiltration of water into the soil, creating a heat island effect in large cities. There are various irrigation systems on the market that have already been tested and implemented [2] Common drawbacks of these systems are that they tend to be expensive and often require the user to control the water pump in situ [3]

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