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Open-Source Hardware Is a Low-Cost Alternative for Scientific Instrumentation and Research

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DOI: 10.4236/mi.2012.12002    12,100 Downloads   36,191 Views   Citations

ABSTRACT

Scientific research requires the collection of data in order to study, monitor, analyze, describe, or understand a particular process or event. Data collection efforts are often a compromise: manual measurements can be time-consuming and labor-intensive, resulting in data being collected at a low frequency, while automating the data-collection process can reduce labor requirements and increase the frequency of measurements, but at the cost of added expense of electronic data-collecting instrumentation. Rapid advances in electronic technologies have resulted in a variety of new and inexpensive sensing, monitoring, and control capabilities which offer opportunities for implementation in agricultural and natural-resource research applications. An Open Source Hardware project called Arduino consists of a programmable microcontroller development platform, expansion capability through add-on boards, and a programming development environment for creating custom microcontroller software. All circuit-board and electronic component specifications, as well as the programming software, are open-source and freely available for anyone to use or modify. Inexpensive sensors and the Arduino development platform were used to develop several inexpensive, automated sensing and datalogging systems for use in agricultural and natural-resources related research projects. Systems were developed and implemented to monitor soil-moisture status of field crops for irrigation scheduling and crop-water use studies, to measure daily evaporation-pan water levels for quantifying evaporative demand, and to monitor environmental parameters under forested conditions. These studies demonstrate the usefulness of automated measurements, and offer guidance for other researchers in developing inexpensive sensing and monitoring systems to further their research.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

D. Fisher and P. Gould, "Open-Source Hardware Is a Low-Cost Alternative for Scientific Instrumentation and Research," Modern Instrumentation, Vol. 1 No. 2, 2012, pp. 8-20. doi: 10.4236/mi.2012.12002.

References

[1] F. H. Moody, J. B. Wilkerson, W. E. Hart and N. D. Sewell, “A Digital Event Recorder for Mapping Field Operations,” Applied Engineering in Agriculture, Vol. 20, No. 1, 2004, pp. 119-128.
[2] K. A. Noordin, C. C. Onn and M. F. Ismail, “A Low-Cost Microcontroller-Based Weather Monitoring System,” CMU Journal, Vol. 5, No. 1, 2006, pp. 33-39.
[3] D. K. Fisher, “Automated Collection of Soil-Moisture Data with a Low-Cost Microcontroller Circuit,” Applied Engineering in Agriculture, Vol. 23, No. 4, 2007, pp. 493-500.
[4] G. Vellidis, M. Tucker, C. Perry, C. Kvien and C. Bednarz, “A Real-Time Wireless Smart Sensor Array for Scheduling Irrigation,” Computers and Electronics in Agriculture, Vol. 61, No. 1, 2008, pp. 44-50. doi:10.1016/j.compag.2007.05.009
[5] D. K. Fisher and H. Kebede, “A Low-Cost Microcontroller-Based System to Monitor Crop Temperature and Water Status,” Computers and Electronics in Agriculture, Vol. 74, No. 1, 2010, pp. 168-173. doi:10.1016/j.compag.2010.07.006
[6] Arduino, “An Open-Source Electronics Prototyping Platform,” 2012. http://www.arduino.cc
[7] D. Bri, H. Coll, M. Garcia and J. Lloret, “A Multisensor Proposal for Wireless Sensor Networks,” 2nd International Conference on Sensor Technologies and Applications, Cap Esterel, 25-31 August 2008, pp. 270-275.
[8] L. Buechley and M. Eisenberg, “The LilyPad Arduino: Toward Wearable Engineering for Everyone,” Pervasive Computing, Vol. 7, No. 2, 2008, pp. 12-15. doi:10.1109/MPRV.2008.38
[9] J. Zhang, S. K. Ong and A. Y. C. Nee, “Design and Development of a Navigation Assistance System for Visually Impaired Individuals,” Proceedings of the 3rd International Convention on Rehabilitation Engineering & Assistive Technology, Singapore, 22-26 April 2009.
[10] N. W. Bergmann, M. Wallace and E. Calia, “Low Cost Prototyping System for Sensor Networks,” 6th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Brisbane, 7-10 December 2010, pp. 19-24. doi:10.1109/ISSNIP.2010.5706802
[11] D. Gordon, M. Beigl and M. A. Neumann, “Dinam: A Wireless Sensor Network Concept and Platform for Rapid Development,” 7th International Conference on Networked Sensing Systems (INSS), Kassel, 15-18 June 2010, pp. 57-60. doi:10.1109/INSS.2010.5573290
[12] J. Sarik and I. Kymissis, “Lab Kits Using the Arduino Prototyping Platform,” Frontiers in Education Conference, Washington DC, 27-30 October 2010, pp. 1-5.
[13] A. M. Thomas, “In situ Measurement of Moisture in Soil and Similar Substances by ‘Fringe’ Capacitance,” Journal of Scientific Instrumentation, Vol. 43, No. 1, 1966, pp. 21-27. doi:10.1088/0950-7671/43/1/306
[14] S. J. Thomson and C. F. Armstrong, “Calibration of the Watermark Model 200 Soil Moisture Sensor,” Applied Engineering in Agriculture, Vol. 3, No. 2, 1987, pp. 186- 189.
[15] E. P. Eldredge, C. C. Shock and T. D. Stieber, “Calibration of Granular Matrix Sensors for Irrigation Management,” Agronomy Journal, Vol. 85, No. 6, 1993, pp. 1228-1232.doi:10.2134/agronj1993.00021962008500060025x
[16] C. C. Shock, J. M. Barnum and M. Seddigh, “Calibration of Watermark Soil Moisture Sensors for Irrigation Management,” Proceedings of the International Irrigation Show, San Diego, 1-3 November 1998, pp. 139-146.
[17] D. A. Bohn, “Environmental Effects on the Speed of Sound,” Journal of the Audio Engineering Society, Vol. 36, No. 4, 1988, pp. 223-231.

  
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