WSN prototype for African oil palm bud rot monitoring

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

doi:10.1007/978-3-319-70187-5_13

WSN prototype for African oil palm bud rot monitoring

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

Producción científica: Capítulo del libro/informe/acta de congreso › Ponencia publicada en las memorias del evento con ISBN › revisión exhaustiva

7 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 original	Inglés
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
Editorial	Springer Verlag
Páginas	170-181
Número de páginas	12
ISBN (versión impresa)	9783319701868
DOI	https://doi.org/10.1007/978-3-319-70187-5_13
Estado	Publicada - 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
Volumen	687
ISSN (versión impresa)	2194-5357

Conferencia

Conferencia	International Conference of ICT for Adapting Agriculture to Climate Change, AACC 2017
País/Territorio	Colombia
Ciudad	Popayan
Período	22/11/17 → 24/11/17

Nota bibliográfica

Publisher Copyright:
© 2018, Springer International Publishing AG.

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Piamonte, M., Huerta, M., Clotet, R., Padilla, J., Vargas, T., & Rivas, D. (2018). WSN prototype for African oil palm bud rot monitoring. En J. A. Iglesias, P. Angelov, & J. C. Corrales (Eds.), 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 (pp. 170-181). (Advances in Intelligent Systems and Computing; Vol. 687). Springer Verlag. https://doi.org/10.1007/978-3-319-70187-5_13

Piamonte, Miguel ; Huerta, Monica ; Clotet, Roger et al. / WSN prototype for African oil palm bud rot monitoring. 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. editor / Jose Antonio Iglesias ; Plamen Angelov ; Juan Carlos Corrales. Springer Verlag, 2018. pp. 170-181 (Advances in Intelligent Systems and Computing).

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title = "WSN prototype for African oil palm bud rot monitoring",

abstract = "The oil palm (Elaeis guineensis) is the most productive oleaginous on the planet. The world{\textquoteright}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{\textquoteright}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.",

keywords = "Bud rot, Oil palm, WSN",

author = "Miguel Piamonte and Monica Huerta and Roger Clotet and John Padilla and Tito Vargas and David Rivas",

note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG.; International Conference of ICT for Adapting Agriculture to Climate Change, AACC 2017 ; Conference date: 22-11-2017 Through 24-11-2017",

year = "2018",

doi = "10.1007/978-3-319-70187-5_13",

language = "Ingl{\'e}s",

isbn = "9783319701868",

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publisher = "Springer Verlag",

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Piamonte, M, Huerta, M, Clotet, R, Padilla, J, Vargas, T & Rivas, D 2018, WSN prototype for African oil palm bud rot monitoring. En JA Iglesias, P Angelov & JC Corrales (eds.), 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. Advances in Intelligent Systems and Computing, vol. 687, Springer Verlag, pp. 170-181, International Conference of ICT for Adapting Agriculture to Climate Change, AACC 2017, Popayan, Colombia, 22/11/17. https://doi.org/10.1007/978-3-319-70187-5_13

WSN prototype for African oil palm bud rot monitoring. / Piamonte, Miguel; Huerta, Monica; Clotet, Roger et al.
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. ed. / Jose Antonio Iglesias; Plamen Angelov; Juan Carlos Corrales. Springer Verlag, 2018. p. 170-181 (Advances in Intelligent Systems and Computing; Vol. 687).

Producción científica: Capítulo del libro/informe/acta de congreso › Ponencia publicada en las memorias del evento con ISBN › revisión exhaustiva

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AU - Piamonte, Miguel

AU - Huerta, Monica

AU - Clotet, Roger

AU - Padilla, John

AU - Vargas, Tito

AU - Rivas, David

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

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Piamonte M, Huerta M, Clotet R, Padilla J, Vargas T, Rivas D. WSN prototype for African oil palm bud rot monitoring. En Iglesias JA, Angelov P, Corrales JC, editores, 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. Springer Verlag. 2018. p. 170-181. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-70187-5_13

WSN prototype for African oil palm bud rot monitoring

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