Autonomous WSN for lawns monitoring in smart cities

Marín Peira, José Fernando and Rocher, Javier and Parra, Lorena and Sendra, Sandra and Lloret, Jaime and Mauri Ablanque, Pedro Vicente (2017). Autonomous WSN for lawns monitoring in smart cities. In: "14th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA 2017)", 30 Oct - 03 Nov 2017, Hammamet, Tunez. pp. 501-508. https://doi.org/10.1109/AICCSA.2017.72.

Description

Title: Autonomous WSN for lawns monitoring in smart cities
Author/s:
  • Marín Peira, José Fernando
  • Rocher, Javier
  • Parra, Lorena
  • Sendra, Sandra
  • Lloret, Jaime
  • Mauri Ablanque, Pedro Vicente
Item Type: Presentation at Congress or Conference (Article)
Event Title: 14th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA 2017)
Event Dates: 30 Oct - 03 Nov 2017
Event Location: Hammamet, Tunez
Title of Book: 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)
Date: 2017
Subjects:
Freetext Keywords: Wireless sensors network (WSN); Smart city; Urban lawns; Water sustainability; RGB sensor
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The urban lawns are frequently composed by different grass species to combat some problems of water scarcity and diseases. In order to maintain these lawns, high amount of water is required. Nowadays, smart cities can be understood as a new concept of city that includes, among others, efficient distribution of energy, water, and other resources by using technology. In these cases, the main challenge is to try to estimate the necessary amount of water for irrigation and the phytosanitary uses without wasting water. In this paper, we propose a method to identify the percentage of grass coverage in lawns to deduce the grass productivity and estimate the most accurate quantity of water to ensure a good production of grass. The system is based on a Smart Autonomous Vehicle (SAV) controlled by an Arduino Mega 2560. It also contains an array of 120 colour sensors used to gather the data. The selected colour sensor is a TCS3472. With these sensors, we obtain the RGB histograms of the lawns. For these experiments, we have several lawn parcels of 1.5 x 1 m. From these, a matrix of 150 x 100 RGB values is obtained. After processing the green values of matrix, we have observed a correlation between the level of coverage and these values. The grass coverage is related with values of brightness between 40 and 60 which allow us to classify the lawn as a function of its coverage and the irrigation needs.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainFPU14/02953UnspecifiedMinisterio de Educación, Cultura y DeporteUnspecified

More information

Item ID: 52260
DC Identifier: http://oa.upm.es/52260/
OAI Identifier: oai:oa.upm.es:52260
DOI: 10.1109/AICCSA.2017.72
Official URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8308329&tag=1
Deposited by: Memoria Investigacion
Deposited on: 28 May 2019 09:12
Last Modified: 28 May 2019 09:12
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