Research Article
Açık Kaynaklı Donanım ile Bulut Tabanlı ve Düşük Maliyetli Bir Çevre Koşulları İzleme Sisteminin Seralarda Uygulanabilirliği
Abstract
Tarımsal
üretimi etkileyen en önemli parametre çevre koşullarıdır. Uygun iklim
koşullarının sağlanması ve bu koşulların takip edilmesi özellikle kontrollü
üretim yapıları olan seralar başta olmak üzere birçok tarımsal yapılarda ve
üretim sistemlerinde hayati önem arz etmektedir. Bu amaçla kullanılan birçok
veri izleme sistemi, yüksek maliyet ve yeterli teknik bilgi olmadığından yaygın
bir şekilde kullanılamamaktadır. Özellikle küçük işletmelerde ve kırsal
bölgelerde, tarımsal faaliyetler için hayati öneme sahip iklim verilerinin
izlenmesi amacıyla, açık kaynak donanımlar ile düşük maliyetli ve
ölçeklenebilir izleme, kontrol ve veri toplama sistemleri tasarlanması mümkün
olabilmektedir. Bu çalışmada açık kaynak donanımlarla düşük maliyetle
tasarlanan sistem, gerçek koşullarda test edilmiştir. Tasarlanan bu sistemde
sıcaklık ve oransal nem değerleri sensörler ile ölçülerek kablosuz bir ağ
üzerinden veri sunucusuna aktarılmıştır. Ayrıca bu veriler referans cihazlarla
karşılaştırılarak istatistiksel olarak değerlendirilmiştir. Elde edilen
sonuçlar, açık kaynak donanımlar ile tasarlanan düşük maliyetli bu tür
sistemlerin tarımsal işletmelerde veri toplama-izleme ve karar destek sistemi
olarak kullanılabileceği göstermiştir.
References
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- Dargie W, Poellabauer C (2010). Fundamentals of Wireless Sensor Networks. doi: 10.1002/9780470666388
- Dedrick RR, Halfman JD, Brooks McKinney D (2000). An inexpensive, microprocessor-based, data logging system. Computers and Geosciences, 26, 1059-1066. doi: 10.1016/S0098-3004(00)00020-0 ESP8266 Datasheet E (2015). ESP8266EX Datasheet. Espressif Systems Datasheet, 1-31.
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- Koenka IJ, Saiz J, Hauser PC (2014). Instrumentino: An open-source modular Python framework for controlling Arduino based experimental instruments. Computer Physics Communications, 185, 2724-2729. doi: 10.1016/j.cpc.2014.06.007
- Kornuta JA, Nipper ME, Brandon Dixon J (2013). Low-cost microcontroller platform for studying lymphatic biomechanics in vitro. Journal of Biomechanics, 46, 183-186. doi: 10.1016/j.jbiomech.2012.09.031
- LM35 Datasheet L (2016). LM35 Precision Centigrade Temperature Sensors (Rev. G). Texas Instruments.
- Mai TD, Pham TTT, Pham HV, Sáiz J, Ruiz CG, Hauser PC (2013). Portable Capillary Electrophoresis Instrument with Automated Injector and Contactless Conductivity Detection. Analytical Chemistry, 85, 2333-2339. doi: 10.1021/ac303328g
- Mesas-Carrascosa FJ, Verdú Santano D, Meroño JE, Sánchez de la Orden M, García-Ferrer A (2015). Open source hardware to monitor environmental parameters in precision agriculture. Biosystems engineering, 137, 73-83. doi: 10.1016/j.biosystemseng.2015.07.005
- Pi R. (2016). Raspberry Pi Documentation. Retrieved 30.11.2016, from https://www.raspberrypi.org/documentation/
- Polo J, Hornero G, Duijneveld C, García A, Casas O (2015). Design of a low-cost Wireless Sensor Network with UAV mobile node for agricultural applications. Computers and Electronics in Agriculture, 119, 19-32. doi: 10.1016/j.compag.2015.09.024
- Riley TC, Endreny TA, Halfman JD (2006). Monitoring soil moisture and water table height with a low-cost data logger. Computers and Geosciences, 32, 135-140. doi: 10.1016/j.cageo.2005.05.009
- Sáiz J, Mai TD, Hauser PC, Garcia-Ruiz C (2013). Determination of nitrogen mustard degradation products in water samples using a portable capillary electrophoresis instrument. Electrophoresis, 34, 2078-2084. doi: 10.1002/elps.201300054
- Sáiz J, Mai TD, López MaL, Bartolomé C, Hauser PC, Garcia-Ruiz C (2013). Rapid determination of scopolamine in evidence of recreational and predatory use. Science & Justice, 53, 409-414. doi: 10.1016/j.scijus.2013.08.001
- Sethi VP, Sumathy K, Lee C, Pal DS (2013). Thermal modeling aspects of solar greenhouse microclimate control: A review on heating technologies. Solar Energy, 96, 56-82. doi: 10.1016/j.solener.2013.06.034
- SI7021 Datasheet S (2015). Si7021-A20 I2C Humidity and Temperature Sensor. Silicon Laboratories, 1-36.
- Stallman RM, Gay J (2009). Free Software, Free Society: Selected Essays of Richard M. Stallman.
- Steinhart JS, Hart SR (1968). Calibration curves for thermistors. Deep Sea Research and Oceanographic Abstracts, 15, 497-503. doi: 10.1016/0011-7471(68)90057-0
- Thomson KE, White HS (2014). A novel open-source drug-delivery system that allows for first-of-kind simulation of nonadherence to pharmacological interventions in animal disease models. Journal of Neuroscience Methods, 238, 105-111. doi: 10.1016/j.jneumeth.2014.09.019
- Von Zabeltitz C (2011). Integrated Greenhouse Systems for Mild Climates: Climate Conditions, Design, Construction, Maintenance, Climate Control. Integrated Greenhouse Systems for Mild Climates: Climate Conditions, Design, Construction, Maintenance, Climate Control, 285-311. doi: 10.1007/978-3-642-14582-7_12
- Zhang J, Ong SK, Nee AYC. (2009). Design and Development of a Navigation Assistance System for Visually Impaired Individuals. Proceedings of the 3rd International Convention on Rehabilitation Engineering & Assistive Technology. New York, NY, USA: ACM.
The Feasibility of a Cloud-Based Low-Cost Environmental Monitoring System Via Open Source Hardware in Greenhouses
Abstract
One of
the most critical parameters in agricultural production is environmental
conditions. It is of vital importance to ensure and monitor suitable climatic
conditions for various controlled agricultural structures and production
systems such as greenhouses. To this aim, most data monitoring systems cannot
be efficiently used due to high cost and insufficient technical knowledge. It
is possible to design low-cost and scalable monitoring, control and data
acquisition systems via open source hardware in order to monitor climatic data
for agricultural practices in small enterprises and rural areas. In this study,
a low-cost system designed via open source hardware was tested under real
conditions. Temperature and relative humidity were measured via the sensors in
the system and sent to a data server through a wireless network. In addition,
collected data was compared to reference devices for statistical analysis. The
results suggest that these low-cost systems, which are designed via open source
hardware, can be used as a data collection and decision support system by
agricultural enterprises.
References
- Buechley L, Eisenberg M (2008). The LilyPad Arduino: Toward Wearable Engineering for Everyone. IEEE Pervasive Computing, 7, 12-15. doi: 10.1109/MPRV.2008.38
- Dargie W, Poellabauer C (2010). Fundamentals of Wireless Sensor Networks. doi: 10.1002/9780470666388
- Dedrick RR, Halfman JD, Brooks McKinney D (2000). An inexpensive, microprocessor-based, data logging system. Computers and Geosciences, 26, 1059-1066. doi: 10.1016/S0098-3004(00)00020-0 ESP8266 Datasheet E (2015). ESP8266EX Datasheet. Espressif Systems Datasheet, 1-31.
- Faugel H, Bobkov V (2013). Open source hard- and software: Using Arduino boards to keep old hardware running. Fusion Engineering and Design, 88, 1276-1279. doi: DOI:101016/jfusengdes201212005
- Fisher DK, Gould PJ (2012). Open-Source Hardware Is a Low-Cost Alternative for Scientific Instrumentation and Research. Modern Instrumentation, 1, 8-20. doi: 10.4236/mi.2012.12002
- Fisher DK, Kebede H (2010). A low-cost microcontroller-based system to monitor crop temperature and water status. Computers and Electronics in Agriculture, 74, 168-173. doi: 10.1016/j.compag.2010.07.006
- Gomaa R, Adly I, Sharshar K, Safwat A, Ragai H. (2013). ZigBee wireless sensor network for radiation monitoring at nuclear facilities. Wireless and Mobile Networking Conference (WMNC), 2013 6th Joint IFIP.
- Gordon D, Beigl M, Neumann MA. (2010). Dinam: A wireless sensor network concept and platform for rapid development. Networked Sensing Systems (INSS), 2010 Seventh International Conference on.
- Gubbi J, Buyya R, Marusic S, Palaniswami M (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29, 1645-1660. doi: 10.1016/j.future.2013.01.010
- Hicks SD, Aufdenkampe AK, Montgomery DS (2011). Sensor Networks, Dataloggers, and Other Handy Gadgets Using Open-Source Electronics for the Christina River Basin CZO. AGU Fall Meeting Abstracts.
- Koenka IJ, Saiz J, Hauser PC (2014). Instrumentino: An open-source modular Python framework for controlling Arduino based experimental instruments. Computer Physics Communications, 185, 2724-2729. doi: 10.1016/j.cpc.2014.06.007
- Kornuta JA, Nipper ME, Brandon Dixon J (2013). Low-cost microcontroller platform for studying lymphatic biomechanics in vitro. Journal of Biomechanics, 46, 183-186. doi: 10.1016/j.jbiomech.2012.09.031
- LM35 Datasheet L (2016). LM35 Precision Centigrade Temperature Sensors (Rev. G). Texas Instruments.
- Mai TD, Pham TTT, Pham HV, Sáiz J, Ruiz CG, Hauser PC (2013). Portable Capillary Electrophoresis Instrument with Automated Injector and Contactless Conductivity Detection. Analytical Chemistry, 85, 2333-2339. doi: 10.1021/ac303328g
- Mesas-Carrascosa FJ, Verdú Santano D, Meroño JE, Sánchez de la Orden M, García-Ferrer A (2015). Open source hardware to monitor environmental parameters in precision agriculture. Biosystems engineering, 137, 73-83. doi: 10.1016/j.biosystemseng.2015.07.005
- Pi R. (2016). Raspberry Pi Documentation. Retrieved 30.11.2016, from https://www.raspberrypi.org/documentation/
- Polo J, Hornero G, Duijneveld C, García A, Casas O (2015). Design of a low-cost Wireless Sensor Network with UAV mobile node for agricultural applications. Computers and Electronics in Agriculture, 119, 19-32. doi: 10.1016/j.compag.2015.09.024
- Riley TC, Endreny TA, Halfman JD (2006). Monitoring soil moisture and water table height with a low-cost data logger. Computers and Geosciences, 32, 135-140. doi: 10.1016/j.cageo.2005.05.009
- Sáiz J, Mai TD, Hauser PC, Garcia-Ruiz C (2013). Determination of nitrogen mustard degradation products in water samples using a portable capillary electrophoresis instrument. Electrophoresis, 34, 2078-2084. doi: 10.1002/elps.201300054
- Sáiz J, Mai TD, López MaL, Bartolomé C, Hauser PC, Garcia-Ruiz C (2013). Rapid determination of scopolamine in evidence of recreational and predatory use. Science & Justice, 53, 409-414. doi: 10.1016/j.scijus.2013.08.001
- Sethi VP, Sumathy K, Lee C, Pal DS (2013). Thermal modeling aspects of solar greenhouse microclimate control: A review on heating technologies. Solar Energy, 96, 56-82. doi: 10.1016/j.solener.2013.06.034
- SI7021 Datasheet S (2015). Si7021-A20 I2C Humidity and Temperature Sensor. Silicon Laboratories, 1-36.
- Stallman RM, Gay J (2009). Free Software, Free Society: Selected Essays of Richard M. Stallman.
- Steinhart JS, Hart SR (1968). Calibration curves for thermistors. Deep Sea Research and Oceanographic Abstracts, 15, 497-503. doi: 10.1016/0011-7471(68)90057-0
- Thomson KE, White HS (2014). A novel open-source drug-delivery system that allows for first-of-kind simulation of nonadherence to pharmacological interventions in animal disease models. Journal of Neuroscience Methods, 238, 105-111. doi: 10.1016/j.jneumeth.2014.09.019
- Von Zabeltitz C (2011). Integrated Greenhouse Systems for Mild Climates: Climate Conditions, Design, Construction, Maintenance, Climate Control. Integrated Greenhouse Systems for Mild Climates: Climate Conditions, Design, Construction, Maintenance, Climate Control, 285-311. doi: 10.1007/978-3-642-14582-7_12
- Zhang J, Ong SK, Nee AYC. (2009). Design and Development of a Navigation Assistance System for Visually Impaired Individuals. Proceedings of the 3rd International Convention on Rehabilitation Engineering & Assistive Technology. New York, NY, USA: ACM.
There are 27 citations in total.
Details
| Primary Language | English |
|---|---|
| Journal Section | RESEARCH ARTICLE |
| Authors | |
| Publication Date | June 15, 2018 |
| Submission Date | October 3, 2017 |
| Acceptance Date | January 7, 2018 |
| Published in Issue | Year 2018Volume: 21 Issue: 3 |
Cite
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