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

Telecommunications and Telematics Research Group (GITEL)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 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 language	English
Title of host publication	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
Editors	Jose Antonio Iglesias, Plamen Angelov, Juan Carlos Corrales
Publisher	Springer Verlag
Pages	170-181
Number of pages	12
ISBN (Print)	9783319701868
DOIs	https://doi.org/10.1007/978-3-319-70187-5_13
State	Published - 1 Jan 2018
Event	International Conference of ICT for Adapting Agriculture to Climate Change, AACC 2017 - Popayan, Colombia Duration: 22 Nov 2017 → 24 Nov 2017

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	687
ISSN (Print)	2194-5357

Conference

Conference	International Conference of ICT for Adapting Agriculture to Climate Change, AACC 2017
Country/Territory	Colombia
City	Popayan
Period	22/11/17 → 24/11/17

Bibliographical note

Publisher Copyright:
© 2018, Springer International Publishing AG.

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

Keywords

Bud rot
Oil palm
WSN

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

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

Cite this

Piamonte, M., Huerta, M., Clotet, R., Padilla, J., Vargas, T., & Rivas, D. (2018). WSN prototype for African oil palm bud rot monitoring. In 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).

@inproceedings{889540e99565417ab07cef6bbcb0a0d1,

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. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; International Conference of ICT for Adapting Agriculture to Climate Change, AACC 2017 ; Conference date: 22-11-2017 Through 24-11-2017",

year = "2018",

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

language = "English",

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editor = "Iglesias, {Jose Antonio} and Plamen Angelov and Corrales, {Juan Carlos}",

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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. in 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - WSN prototype for African oil palm bud rot monitoring

AU - Piamonte, Miguel

AU - Huerta, Monica

AU - Clotet, Roger

AU - Padilla, John

AU - Vargas, Tito

AU - Rivas, David

PY - 2018/1/1

Y1 - 2018/1/1

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.

KW - Bud rot

KW - Oil palm

KW - WSN

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ER -

Piamonte M, Huerta M, Clotet R, Padilla J, Vargas T, Rivas D. WSN prototype for African oil palm bud rot monitoring. In Iglesias JA, Angelov P, Corrales JC, editors, 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

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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