https://doi.org/10.4081/jae.2020.1105
Wireless sensor network to identify the reduction of meteorological gradients in greenhouse in subtropical conditions
Published: 13 November 2020
Abstract Views: 1991
PDF: 587
HTML: 17
HTML: 17
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
Spatial and temporal monitoring of temperature and relative humidity is essential for greenhouse management, therefore, wireless sensor networks (WSN) can offer crucial advantages. The objective of this work was to use a WSN to characterize and map the horizontal and vertical variability of air temperature and relative humidity inside a greenhouse using five different configurations. The configurations were based on combinations between the following actuating mechanisms: i) mechanical ventilation (by two exhaust fans); ii) natural ventilation (through the roof vent openings); iii) shading through the use of thermo-reflective screen. The WSN was designed with 45 spatially distributed measuring points, and the air temperature and relative humidity were recorded automatically every 30 seconds, for ten consecutive days, for each configuration. Our results show that the horizontal and vertical homogeneity of the meteorological elements depends on the actuating mechanism used in the greenhouse. Mechanical ventilation approximated the temperature and relative humidity of the indoor and outdoor air, with a homogeneous horizontal distribution throughout the environment. Opening the roof vent reduced vertical gradients of temperature and relative humidity. Our observations also showed that the combination of the use of roof vent openings with mechanical ventilation is an effective way to achieve horizontal homogeneity of meteorological elements.
Balendonck J., van Os E.A., van der Schoor R., van Tuijl B.A.J., Keizer L.C.P. 2010. Monitoring spatial and temporal distribution of temperature and relative humidity in greenhouses based on wireless sensor technology. Proc. International Conference on Agricultural Engineering, AgEng 2010: towards environmental technologies. Wageningen University and Research Center, Clermont-Ferrand, France, 443p.
Balendonck J., Sapounas A.A., Kempkes F., van Os E.A., van der Schoor R., van Tuijl B.A.J., Keizer L.C.P. 2014. Using a wireless sensor network to determine climate heterogeneity of a greenhouse environment. Acta Hortic. 1037:539-46.
DOI: https://doi.org/10.17660/ActaHortic.2014.1037.67
Bojacá C.R., Gil R., Gómez S., Cooman A., Schrevens E. 2009. Analysis of greenhouse air temperature distribution using geostatistical methods. Trans. ASABE. 52:957-68.
DOI: https://doi.org/10.13031/2013.27393
Chen C. 2003. Prediction of longitudinal variations in temperature and relative humidity for evaporative cooling greenhouses. Agricult. Engine. J. 12:143-64.
Coomans M., Allaerts K., Wittemans L., Pinxteren D. 2013. Monitoring and energetic performance of two similar semi-closed greenhouse ventilation systems. Energy Convers. Manage. 76:128-36.
DOI: https://doi.org/10.1016/j.enconman.2013.07.028
GarcÃa-Ruiz R.A., López-MartÃnez J., Blanco-Claraco J.L,. Pérez-Alonso J., Callejón-Ferre A.J. 2018. On air temperature distribution and ISO 7726-defined heterogeneity inside a typical greenhouse in AlmerÃa. Comput. Electron. Agricult. 151:264-75.
DOI: https://doi.org/10.1016/j.compag.2018.06.001
Ferentinos K.P., Katsoulas N., Tzounis A., Bartzanas T., Kittas C. 2017. Wireless sensor networks for greenhouse climate and plant condition assessment. Biosyst. Engine. 153:70-81.
DOI: https://doi.org/10.1016/j.biosystemseng.2016.11.005
Kittas C., Katsoulas N., Papa K., Thanasenaris A., Bartzanas T. 2012. Improvement of greenhouse microclimate distribution by means of air mixing fans. Acta Horticult. 927:589-94.
DOI: https://doi.org/10.17660/ActaHortic.2012.927.72
Kutta E., Hubbart J. 2014. Improving understanding of microclimate heterogeneity within a contemporary plant growth facility to advance climate control and plant productivity. J. Plant Sci. 2:167-78.
López A., Valera D.L., Molina-Aiz F.D. 2011. Sonic anemometry to measure natural ventilation in greenhouses. Sensors. 11:9820-38.
DOI: https://doi.org/10.3390/s111009820
López A., Valera D.L., Molina-Aiz F.D., Peña A. 2013. Effectiveness of horizontal air flow fans supporting natural ventilation in a Mediterranean multi-span greenhouse. Sci. Agric. 70:219-28.
DOI: https://doi.org/10.1590/S0103-90162013000400001
López-MartÃnez J., Blanco-Claraco J.L., Pérez-Alonso J., Callejón-Ferre A.J. 2018. Distributed network for measuring climatic parameters in heterogeneous environments: application in a greenhouse. Comput. Electron. Agricult. 145:105-21.
DOI: https://doi.org/10.1016/j.compag.2017.12.028
Narasimhan V.L., Arvind A.A., Bever K. 2007. Greenhouse asset management using wireless sensor-actor networks. Proc. International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies. DOI: 10.1109/UBICOMM.2007.43
DOI: https://doi.org/10.1109/UBICOMM.2007.43
Oz H., Atilgan A., Buyuktas K., Alagoz T. 2009. The efficiency of fan-pad cooling system in greenhouse and building up of internal greenhouse temperature map. Afr. J. Biotechnol. 8:5436-44.
Pawlowski A., Guzman J.L., RodrÃguez F., Berenguel M., Sánchez J., Dormido S. 2009. Simulation of greenhouse climate monitoring and control with wireless sensor network and event-based control. Sensors. 9:232-52.
DOI: https://doi.org/10.3390/s90100232
Sapounas A.A., Nikita-Martzopoulou C., Spiridis A. 2008. Prediction the spatial air temperature distribution of an experimental greenhouse using geostatistical methods. Acta Hortic. 801:495-500.
DOI: https://doi.org/10.17660/ActaHortic.2008.801.54
Stichting Milieukeur. 2010. Certification Groen Label Kas - Level B = CertificatieschemaGroen Label Kas - Niveau B - 2010 (in Dutch). Available from: http://www.smk.nl Accessed: Aug 15, 2014.
Suay R., López S., Granell R., Moltó E., Fatnassi H., Boulard T. 2008. Preliminary analysis of greenhouse microclimate heterogeneity for different weather. Acta Hortic. 797:103-9.
DOI: https://doi.org/10.17660/ActaHortic.2008.797.12
Tanny J. 2013. Microclimate and evapotranspiration of crops covered by agricultural screens: A review. Biosyst. Engine. 114:26-43.
DOI: https://doi.org/10.1016/j.biosystemseng.2012.10.008
Teitel M., Atias M., Barak M. 2010. Gradients of temperature, humidity and CO2 along a fan-ventilated greenhouse. Biosyst. Engine. 106:166-74.
DOI: https://doi.org/10.1016/j.biosystemseng.2010.03.007
Vox G., Losito P., Valente F., Consoletti R., Scarascia-Mugnozza G., Schettini E., Marzocca C., Corsi F. 2014. A wireless telecommunications network for real-time monitoring of greenhouse microclimate. J. Agric. Engine. XLV:237.
DOI: https://doi.org/10.4081/jae.2014.237
WMO (World Meteorological Organization). 1953. Commission for synoptic meteorology. Secretariat of the World Meteorological Organization, Geneva, Switzerland.
Zorzeto T.Q., Leal P.A.M. 2017. Wireless sensor network to map the meteorological variability in a greenhouse with evaporative cooling. Acta Hortic. 1154:213-20.
How to Cite
Queiroz Zorzeto Cesar, T. (2020) “Wireless sensor network to identify the reduction of meteorological gradients in greenhouse in subtropical conditions”, Journal of Agricultural Engineering, 52(1). doi: 10.4081/jae.2020.1105.
PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.
Similar Articles
- Jiangui Zhao, Tingyu Zhu, Zhichao Qiu, Tao Li, Guoliang Wang, Zhiwei Li, Huiling Du, Hyperspectral prediction of pigment content in tomato leaves based on logistic-optimized sparrow search algorithm and back propagation neural network , Journal of Agricultural Engineering: Vol. 54 No. 4 (2023)
- Martin Thalheimer, A low-cost electronic tensiometer system for continuous monitoring of soil water potential , Journal of Agricultural Engineering: Vol. 44 No. 3 (2013)
- Ren Hiraoka, Yuya Aoyagi, Kazuki Kobayashi, Automatic travelling of agricultural support robot for a fruit farm. Verification of effectiveness of real-time kinematic-global navigation satellite system and developed a simulator for specification design , Journal of Agricultural Engineering: Vol. 54 No. 1 (2023)
- Wei Wang, Yuanjuan Gong, Xuewei Bai, Rui Tan, Real-time straw moisture content detection system for mobile straw granulator , Journal of Agricultural Engineering: Vol. 55 No. 2 (2024)
- Timothy Denen Akpenpuun, Wook Ho Na, Qazeem Opeyemi Ogunlowo, Anis Rabiu, Misbaudeen Aderemi Adesanya, Kwame Sasu Addae, Hyeon Tae Kim, Hyun-Woo Lee, Effect of glazing configuration as an energy-saving strategy in naturally ventilated greenhouses for strawberry (Seolhyang sp.) cultivation , Journal of Agricultural Engineering: Vol. 52 No. 2 (2021)
- Alvaro Marucci, Danilo Monarca, Andrea Colantoni, Enio Campiglia, Andrea Cappuccini, Analysis of the internal shading in a photovoltaic greenhouse tunnel , Journal of Agricultural Engineering: Vol. 48 No. 3 (2017)
- Meriem Er-Rami, Guido D'Urso, Nicola Lamaddalena, Daniela D'Agostino, Oscar Rosario Belfiore, Analysis of irrigation system performance based on an integrated approach with Sentinel-2 satellite images , Journal of Agricultural Engineering: Vol. 52 No. 2 (2021)
- Qazeem Opeyemi Ogunlowo, Adedayo Afeez Azeez, Wook Ho Na, Anis Rabiu, Misbaudeen Aderemi Adesanya, Ezatullah Zakir, John Ademola Ijadunola, Bukola Olanrewaju Afolabi, Babajide Saheed Kosemani, Titus Adeyinka Ilori, Hyun-Woo Lee, Analysis of microclimate temperature and relative humidity distribution of local poultry house in a subtropical area of Nigeria , Journal of Agricultural Engineering: Vol. 55 No. 2 (2024)
- Ildar Gabitov, Samat Insafuddinov, Denis Kharisov, Elmir Gaysin, Timur Farhutdinov, Diagnostic method and device for evaluating and forecasting the technical condition of farm machinery in operation , Journal of Agricultural Engineering: Vol. 52 No. 4 (2021)
- Evelia Schettini, Giovanni Puglisi, Fabiana Convertino, Fernando Antonio Cancellara, Giuliano Vox, Greenhouse localized heating powered by a polygeneration system , Journal of Agricultural Engineering: Vol. 52 No. 3 (2021)
<< < 2 3 4 5 6 7 8 9 10 11 > >>
You may also start an advanced similarity search for this article.
