Monitoring system of environmental variables for a strawberry crop using IoT tools
This research work is aimed at strengthening the resources that farmers have for crops management of pests and diseases in a digital way using internet of things through the development of a prototype. It can obtain important information of variables within a strawberry crop such as Relative Humidit...
- Autores:
-
Amaya Diaz, Juan Carlos
Rojas Estrada, luzmila
Cardenas-Ruiz, Cesar Augusto
Ariza Colpas, Paola Patricia
Piñeres-Melo, Marlon Alberto
Ramayo González, Ramón Enrique
Morales-Ortega, Roberto César
Ovallos-Gazabon, David Alfredo
COLLAZOS MORALES, CARLOS ANDRES
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/6228
- Acceso en línea:
- https://hdl.handle.net/11323/6228
https://doi.org/10.1016/j.procs.2020.03.067
https://repositorio.cuc.edu.co/
- Palabra clave:
- Internet of things
Strawberry
Humidity
Temperature
PH
Conductivity
- Rights
- openAccess
- License
- CC0 1.0 Universal
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| dc.title.spa.fl_str_mv |
Monitoring system of environmental variables for a strawberry crop using IoT tools |
| title |
Monitoring system of environmental variables for a strawberry crop using IoT tools |
| spellingShingle |
Monitoring system of environmental variables for a strawberry crop using IoT tools Internet of things Strawberry Humidity Temperature PH Conductivity |
| title_short |
Monitoring system of environmental variables for a strawberry crop using IoT tools |
| title_full |
Monitoring system of environmental variables for a strawberry crop using IoT tools |
| title_fullStr |
Monitoring system of environmental variables for a strawberry crop using IoT tools |
| title_full_unstemmed |
Monitoring system of environmental variables for a strawberry crop using IoT tools |
| title_sort |
Monitoring system of environmental variables for a strawberry crop using IoT tools |
| dc.creator.fl_str_mv |
Amaya Diaz, Juan Carlos Rojas Estrada, luzmila Cardenas-Ruiz, Cesar Augusto Ariza Colpas, Paola Patricia Piñeres-Melo, Marlon Alberto Ramayo González, Ramón Enrique Morales-Ortega, Roberto César Ovallos-Gazabon, David Alfredo COLLAZOS MORALES, CARLOS ANDRES |
| dc.contributor.author.spa.fl_str_mv |
Amaya Diaz, Juan Carlos Rojas Estrada, luzmila Cardenas-Ruiz, Cesar Augusto Ariza Colpas, Paola Patricia Piñeres-Melo, Marlon Alberto Ramayo González, Ramón Enrique Morales-Ortega, Roberto César Ovallos-Gazabon, David Alfredo COLLAZOS MORALES, CARLOS ANDRES |
| dc.subject.spa.fl_str_mv |
Internet of things Strawberry Humidity Temperature PH Conductivity |
| topic |
Internet of things Strawberry Humidity Temperature PH Conductivity |
| description |
This research work is aimed at strengthening the resources that farmers have for crops management of pests and diseases in a digital way using internet of things through the development of a prototype. It can obtain important information of variables within a strawberry crop such as Relative Humidity, temperature and pH. These data are processed and received by means of protocols in real time. These devices allow managing the information of different variables through communication among sensors. This study presents the most critical characteristics of the strawberry by using the data collection of an IoT system. In this way the initial results can demonstrate that the system yields important information for the appropriate management of strawberry crop production. |
| publishDate |
2020 |
| dc.date.accessioned.none.fl_str_mv |
2020-04-20T21:59:34Z |
| dc.date.available.none.fl_str_mv |
2020-04-20T21:59:34Z |
| dc.date.issued.none.fl_str_mv |
2020 |
| dc.type.spa.fl_str_mv |
Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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Text |
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info:eu-repo/semantics/article |
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acceptedVersion |
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https://hdl.handle.net/11323/6228 |
| dc.identifier.doi.spa.fl_str_mv |
https://doi.org/10.1016/j.procs.2020.03.067 1877-0509 |
| dc.identifier.instname.spa.fl_str_mv |
Corporación Universidad de la Costa |
| dc.identifier.reponame.spa.fl_str_mv |
REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
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https://hdl.handle.net/11323/6228 https://doi.org/10.1016/j.procs.2020.03.067 https://repositorio.cuc.edu.co/ |
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1877-0509 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.references.spa.fl_str_mv |
S. Baker, et al., “Internet of Things for Smart Healthcare: Technologies, Challenges, and . Opportunities,” IEEE Access, pp. 1-1, (2017). Google Scholar H. Kumakura, Y. Shishido Effects of temperature and light conditions on flower initiation and fruit development in strawberry Jarq, 29 (1995), pp. 241-250 Google Scholar A.B.U.B. Ibrahim, “Automated Temperature and Humidity Control System for Strawberry Plantation Using Solar Panel,” pp. 14-19, (2015). Google Scholar J.F. Hancock, et al. Generating a Unique Germplasm Base for the Breeding of Day-neutral Strawberry Cultivars HortScience, 53 (2018), pp. 1069-1071 CrossRefView Record in ScopusGoogle Scholar V. Winardiantika, et al. “Effects of high temperature on pollen performance in ever-bearing strawberry cultivars,” Acta Hortic, 1117 (2016), pp. 365-371 View Record in Scopus Q. Bai and C. Jin, “The Remote Monitoring System of Vegetable Greenhouse,” 2017 10th Int. Symp. Comput. Intell. Des., pp. 64-67, (2017). Google Scholar D.M. Atia and H.T. El-madany, “Analysis and design of greenhouse temperature control using adaptive neurofuzzy inference system,” J. Electr. Syst. Inf. Technol., (2016). Google Scholar R. Shahzadi, et al. “Internet of Things based Expert System for Smart Agriculture,” Int J. Adv. Comput. Sci. Appl., 7 (2016) Google Scholar B. Zhang, et al., “Intelligent monitoring system of light intensity and CO2 concentration in strawberries greenhouse,” 2017 IEEE Int. Conf. Mechatronics Autom., pp. 101-106, (2017). Google Scholar S. Kadir, et al. “Strawberry (Fragaria ·ananassa Duch) Growth and Productivity as Affected by Temperature,” Hortscience, 41 (2006), pp. 1423-1430 CrossRefView Record in ScopusGoogle Scholar S.M. Zahedi, H. Sarikhani Effect of far-red light, temperature, and plant age on morphological changes and induction of flowering of a ‘June-bearing’ strawberry Hortic. Environ. Biotechnol., 57 (2016), pp. 340-347 CrossRefView Record in ScopusGoogle Scholar Y. Li, et al., “Effect of LED supplemental illumination on the growth of strawberry plants,” 2012 Symp. Photonics Optoelectron. SOPO 2012, (2012). Google Scholar E. Saenz, et al., “Strawberries collecting robot prototype in greenhouse hydroponic systems,” Symp. Signals, Images Artif. Vis. - 2013, STSIVA 2013, (2013). Google Scholar Q. Feng, et al., “Study on strawberry robotic harvesting system,” CSAE 2012 - Proceedings, 2012 IEEE Int. Conf. Comput. Sci. Autom. Eng., vol. 1, pp. 320-324, (2012). Google Scholar X. Li, et al., “A deep learning method for recognizing elevated mature strawberries,” in 2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC), pp. 1072-1077, (2018). Google Scholar E. Avsar, et al., “Development of a cloud-based automatic irrigation system: A case study on strawberry cultivation,” in 2018 7th International Conference on Modern Circuits and Systems Technologies (MOCAST), pp. 1-4, (2018). Google Scholar “IoT Based Greenhouse Monitoring using Data Compressive Sensing Protocol in WSN: a review,” (2018). Google Scholar Cámara de Comercio de Bogotá (2015). Manual Fresa. https://bibliotecadigital.ccb.org.co/bitstream/handle/11520/14312/Fresa.pdf?sequence=1&isAllowed=y Google Scholar Crop Sciencie Colombia (2020). Las5 claves para el cultivo de la fresa https://www.cropscience.bayer.co/Centro-de-Noticias/Noticias/2018/08/5-Claves-Fresa.aspx Google Scholar |
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Amaya Diaz, Juan CarlosRojas Estrada, luzmilaCardenas-Ruiz, Cesar AugustoAriza Colpas, Paola PatriciaPiñeres-Melo, Marlon AlbertoRamayo González, Ramón EnriqueMorales-Ortega, Roberto CésarOvallos-Gazabon, David AlfredoCOLLAZOS MORALES, CARLOS ANDRES2020-04-20T21:59:34Z2020-04-20T21:59:34Z2020https://hdl.handle.net/11323/6228https://doi.org/10.1016/j.procs.2020.03.0671877-0509Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/This research work is aimed at strengthening the resources that farmers have for crops management of pests and diseases in a digital way using internet of things through the development of a prototype. It can obtain important information of variables within a strawberry crop such as Relative Humidity, temperature and pH. These data are processed and received by means of protocols in real time. These devices allow managing the information of different variables through communication among sensors. This study presents the most critical characteristics of the strawberry by using the data collection of an IoT system. In this way the initial results can demonstrate that the system yields important information for the appropriate management of strawberry crop production.Amaya Diaz, Juan Carlos-will be generated-orcid-0000-0002-1654-215X-600Rojas Estrada, luzmila-will be generated-orcid-0000-0002-3432-6389-600Cardenas-Ruiz, Cesar AugustoAriza Colpas, Paola Patricia-will be generated-orcid-0000-0003-4503-5461-600Piñeres-Melo, Marlon AlbertoRamayo González, Ramón Enrique-will be generated-orcid-0000-0001-6137-6181-600Morales-Ortega, Roberto CésarOvallos-Gazabon, David AlfredoCOLLAZOS MORALES, CARLOS ANDRES-will be generated-orcid-0000-0002-1996-1384-600engProcedia Computer ScienceCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Internet of thingsStrawberryHumidityTemperaturePHConductivityMonitoring system of environmental variables for a strawberry crop using IoT toolsArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionS. Baker, et al., “Internet of Things for Smart Healthcare: Technologies, Challenges, and . Opportunities,” IEEE Access, pp. 1-1, (2017). Google ScholarH. Kumakura, Y. Shishido Effects of temperature and light conditions on flower initiation and fruit development in strawberry Jarq, 29 (1995), pp. 241-250 Google ScholarA.B.U.B. Ibrahim, “Automated Temperature and Humidity Control System for Strawberry Plantation Using Solar Panel,” pp. 14-19, (2015). Google ScholarJ.F. Hancock, et al. Generating a Unique Germplasm Base for the Breeding of Day-neutral Strawberry Cultivars HortScience, 53 (2018), pp. 1069-1071 CrossRefView Record in ScopusGoogle ScholarV. Winardiantika, et al. “Effects of high temperature on pollen performance in ever-bearing strawberry cultivars,” Acta Hortic, 1117 (2016), pp. 365-371 View Record in ScopusQ. Bai and C. Jin, “The Remote Monitoring System of Vegetable Greenhouse,” 2017 10th Int. Symp. Comput. Intell. Des., pp. 64-67, (2017). Google ScholarD.M. Atia and H.T. El-madany, “Analysis and design of greenhouse temperature control using adaptive neurofuzzy inference system,” J. Electr. Syst. Inf. Technol., (2016). Google ScholarR. Shahzadi, et al. “Internet of Things based Expert System for Smart Agriculture,” Int J. Adv. Comput. Sci. Appl., 7 (2016) Google ScholarB. Zhang, et al., “Intelligent monitoring system of light intensity and CO2 concentration in strawberries greenhouse,” 2017 IEEE Int. Conf. Mechatronics Autom., pp. 101-106, (2017). Google ScholarS. Kadir, et al. “Strawberry (Fragaria ·ananassa Duch) Growth and Productivity as Affected by Temperature,” Hortscience, 41 (2006), pp. 1423-1430 CrossRefView Record in ScopusGoogle ScholarS.M. Zahedi, H. Sarikhani Effect of far-red light, temperature, and plant age on morphological changes and induction of flowering of a ‘June-bearing’ strawberry Hortic. Environ. Biotechnol., 57 (2016), pp. 340-347 CrossRefView Record in ScopusGoogle ScholarY. Li, et al., “Effect of LED supplemental illumination on the growth of strawberry plants,” 2012 Symp. Photonics Optoelectron. SOPO 2012, (2012). Google ScholarE. Saenz, et al., “Strawberries collecting robot prototype in greenhouse hydroponic systems,” Symp. Signals, Images Artif. Vis. - 2013, STSIVA 2013, (2013). Google ScholarQ. Feng, et al., “Study on strawberry robotic harvesting system,” CSAE 2012 - Proceedings, 2012 IEEE Int. Conf. Comput. Sci. Autom. Eng., vol. 1, pp. 320-324, (2012). Google ScholarX. Li, et al., “A deep learning method for recognizing elevated mature strawberries,” in 2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC), pp. 1072-1077, (2018). Google ScholarE. Avsar, et al., “Development of a cloud-based automatic irrigation system: A case study on strawberry cultivation,” in 2018 7th International Conference on Modern Circuits and Systems Technologies (MOCAST), pp. 1-4, (2018). Google Scholar“IoT Based Greenhouse Monitoring using Data Compressive Sensing Protocol in WSN: a review,” (2018). Google ScholarCámara de Comercio de Bogotá (2015). Manual Fresa. https://bibliotecadigital.ccb.org.co/bitstream/handle/11520/14312/Fresa.pdf?sequence=1&isAllowed=y Google ScholarCrop Sciencie Colombia (2020). Las5 claves para el cultivo de la fresa https://www.cropscience.bayer.co/Centro-de-Noticias/Noticias/2018/08/5-Claves-Fresa.aspx Google ScholarPublicationORIGINALMonitoring system of environmental variables for a strawberry crop using IoT tools.pdfMonitoring system of environmental variables for a strawberry crop using IoT tools.pdfapplication/pdf951030https://repositorio.cuc.edu.co/bitstreams/2cd79423-705d-484f-9bd0-e3915e86cca9/download7943d1dd115ceb4b7c21b7f10e0533d8MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/b1f0363a-faa8-43b8-bea1-f8d422a47a34/download42fd4ad1e89814f5e4a476b409eb708cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstreams/768e2b2d-98a8-4cff-982e-324f9dd06f2c/download8a4605be74aa9ea9d79846c1fba20a33MD53THUMBNAILMonitoring system of environmental variables for a strawberry crop using IoT tools.pdf.jpgMonitoring system of environmental variables for a strawberry crop using IoT tools.pdf.jpgimage/jpeg46095https://repositorio.cuc.edu.co/bitstreams/cd20c33c-21b4-44f4-beca-d36695631a34/download4e6b3c2a939817b18c7f5f8e23a46ca4MD54TEXTMonitoring system of environmental variables for a strawberry crop using IoT tools.pdf.txtMonitoring system of environmental variables for a strawberry crop using IoT tools.pdf.txttext/plain25821https://repositorio.cuc.edu.co/bitstreams/1fba6691-65d9-4861-9531-74d77346c120/download0e940b1f7442f686ef1b0a090700f8bbMD5511323/6228oai:repositorio.cuc.edu.co:11323/62282024-09-17 12:44:48.046http://creativecommons.org/publicdomain/zero/1.0/CC0 1.0 Universalopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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 |