WSN prototype for African oil palm bud rot monitoring

Miguel Piamonte, Monica Huerta, Roger Clotet, John Padilla, Tito Vargas, David Rivas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

The oil palm (Elaeis guineensis) is the most productive oleaginous on the planet. The world’s largest producers of oil palm are located in Asia, Colombia is the fourth largest producer in the world and the first in America. In recent years, the sowing of oil palm has taken a great importance in food industry and biofuel production. Bud rot is among the factors that are most affecting this type of crop, generating to palm farmers large economic losses and the country’s social problems due to unemployment. Early detection of abiotic factors that may trigger bud rot is one of the strategies that would allow palm farmers to minimize the impact on the crops. In this research, a WSN was developed to acquire, process and transmit in real time to a server acquired data as: pH, humidity, temperature and luminosity.

Original languageEnglish
Title of host publicationAdvances in Information and Communication Technologies for Adapting Agriculture to Climate Change - Proceedings of the International Conference of ICT for Adapting Agriculture to Climate Change, AACC 2017
EditorsJose Antonio Iglesias, Plamen Angelov, Juan Carlos Corrales
PublisherSpringer Verlag
Pages170-181
Number of pages12
ISBN (Print)9783319701868
DOIs
StatePublished - 1 Jan 2018
EventInternational Conference of ICT for Adapting Agriculture to Climate Change, AACC 2017 - Popayan, Colombia
Duration: 22 Nov 201724 Nov 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume687
ISSN (Print)2194-5357

Conference

ConferenceInternational Conference of ICT for Adapting Agriculture to Climate Change, AACC 2017
Country/TerritoryColombia
CityPopayan
Period22/11/1724/11/17

Bibliographical note

Publisher Copyright:
© 2018, Springer International Publishing AG.

Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.

Keywords

  • Bud rot
  • Oil palm
  • WSN

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