WSN prototype for African oil palm bud rot monitoring

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

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

5 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaAdvances 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
EditoresJose Antonio Iglesias, Plamen Angelov, Juan Carlos Corrales
EditorialSpringer Verlag
Páginas170-181
Número de páginas12
ISBN (versión impresa)9783319701868
DOI
EstadoPublicada - 1 ene 2018
EventoInternational Conference of ICT for Adapting Agriculture to Climate Change, AACC 2017 - Popayan, Colombia
Duración: 22 nov 201724 nov 2017

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen687
ISSN (versión impresa)2194-5357

Conferencia

ConferenciaInternational Conference of ICT for Adapting Agriculture to Climate Change, AACC 2017
País/TerritorioColombia
CiudadPopayan
Período22/11/1724/11/17

Nota bibliográfica

Publisher Copyright:
© 2018, Springer International Publishing AG.

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

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