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.
|Título de la publicación alojada||Advances 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|
|Editores||Jose Antonio Iglesias, Plamen Angelov, Juan Carlos Corrales|
|Número de páginas||12|
|ISBN (versión impresa)||9783319701868|
|Estado||Publicada - 1 ene 2018|
|Evento||International Conference of ICT for Adapting Agriculture to Climate Change, AACC 2017 - Popayan, Colombia|
Duración: 22 nov 2017 → 24 nov 2017
Serie de la publicación
|Nombre||Advances in Intelligent Systems and Computing|
|ISSN (versión impresa)||2194-5357|
|Conferencia||International Conference of ICT for Adapting Agriculture to Climate Change, AACC 2017|
|Período||22/11/17 → 24/11/17|
Nota bibliográficaPublisher Copyright:
© 2018, Springer International Publishing AG.
Copyright 2017 Elsevier B.V., All rights reserved.