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Development of a Technique for Improving Access to Farm Practice Information Based on Monitored Temperature Conditions

Received: 17 September 2014     Accepted: 30 September 2014     Published: 30 October 2014
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Abstract

The study designed and implemented a temperature monitoring system. The system generated timely an accurately farm practice information from monitored temperature data. This was with a view to providing critical information in advance to farmers for making proper agricultural farm management decisions. A system that monitored soil temperature at an interval of 10 minutes in a Metrological Station was set up. This comprised of a programmable interface controller (PIC) 18F452, temperature sensor, real time clock DS1307RTC and micro secure digital memory card with adapter in normal SD card application. The circuit was designed with Proteus Institute for Software Integrated Systems (ISIS) and the components were placed on the Vero board as laid out in the circuit diagram and then soldered. The firmware, written with C programming language, compiled, using Custom Computer Service Compiler (CCS C) for PIC. Subsequently, calibration was carried out and the readings from the device were validated and benchmarked with that of the standard analogue thermometer and automated data systems. Furthermore, the results were examined statistically using Auto-Regressive Integrated Moving Average (ARIMA) model with expert modeler, to predict the soil temperature and obtain farm practice information based on the recorded values. A Short Message Service (SMS) application interface was developed for Global System for Mobile Communication (GSM) module (SIM300) using visual C# programming language. The paired t-test from the analysis showed that there was no significant difference (p > 0.05) and there were positive correlations between the designed temperature system, a standard analog thermometer and an automated data logging system. From the family of the identified models, ARIMA (0,1,0) model was found to be the most adequate model that really captured the dependence in the series. The performance evaluations of the adopted model was carried out on the basis of correlation coefficient (R2) and Ljung-Box statistics with values of 0.95, 13.58 and 0.96, 19.75 respectively for soil temperature at 5 cm and 10 cm soil depths. The model was used for forecast from weeks 11- 35, 2013. The result of the analysis from the graph of the predicted soil temperature at 5 cm soil depth showed that between weeks 21-43 and 18-35 fell between 10ºC and 30ºC. Within these periods maize seeds could be planted. The developed technique would provide an improved access to farm practice information based on monitored soil temperature conditions and, thereby, bring about better decision making by related stakeholders.

Published in International Journal of Science, Technology and Society (Volume 2, Issue 6)
DOI 10.11648/j.ijsts.20140206.11
Page(s) 165-173
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Farm Practice, Information, Temperature Conditions

References
[1] Adelekun, M. (2012) Design and construction of a Temperature Data Logger System for Soil Temperature Measurement, Unpublished M.Sc Thesis, Obafemi Awolowo University 134p
[2] Al-Ali, A.R.; Al-Rousan, M., (2004); “Java-based home automation system”, IEEE Transactions. on Consumer Electronics, vol. 50, Issue 2, pp. 498 – 504, 2004
[3] Aina, L.O. (2007). Globalisation and Small- Scale Farming in Africa: What role for Information Centres? World libraries and information congress 73rd IFLA General Conference and Council. Durban, South Africa.
[4] Beltrami, H. and Kellman, L.(2003) An Examination of short- and Long-term air- ground Temperature Coupling, Global and Planetary Change 38: 291- 303.
[5] Gavito, M.E., Curtis, P.S., Mikkelsen, and T.N., Jakobsen, I.,(2001) Interactive effects of soil uptake temperature, atmospheric carbon dioxide and soil N on root developm biomass and nutrient of winter wheat during vegetative growth. Journal of Experimental Botany 52, 1913–1923.
[6] Jury, w. A. and Robert, H. (2004) Soil Thermal Regime. Soil Physics 6th ed.. John Wiley and Sons Inc. Hoboken, New jersey. Pg 176-186.
[7] Munyua, H. (2000) Application of information communication technologies in the agricultural sector in Africa: a gender perspective. In: Rathgeber, E, and Adera, E.O. (Eds.) Gender and information Revolution in Africa IDRC/ECA. Pp. 85-123
[8] Ogallo, L. (2010) the Mainstreaming of Climate Change and Variability Information into Planning and Policy Development. Procedia Environmental Sciences 1: 405-410.
[9] Pulwarty, R., S., Olanrewaju, S., and P. Zorba (2009) Communicating Agro climatological information, including forecasts, for agricultural decisions. Guide to Agro-Meteorological Practices WMO Commission for Agricultural and Meteorological Practices Available from http://www.wmo.ch/web/wcp/agm/RevGAMP/
[10] Raleigh, C. and Urdal, H. (2007) Climate Change, Environmental Degradation and Armed Conflict Political Geography 26 674-694
[11] Ramamurthy, .B., Bhargavi, S. and ShashiKumar, R.(2010) Development of a Low-Cost GSM SMS-Based Humidity Remote Monitoring and Control system for Industrial Applications,International Journal of Advanced Computer Science and Applications,Vol. 1, No. 4.
[12] Romilly, P.( 2005) Time series modeling of global mean temperature for managerial decision making. Journal of Environmental Management, 76, 61–70.
[13] UNFCC. (2007) Climate Change: Impacts, Vulnerabilities and Adaptation in Developing Countries. Available at unfccc. int/resource/docs/publications/impacts.pdf.
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    Ewang Essien Sampson, Thomas Kokumo Yesufu. (2014). Development of a Technique for Improving Access to Farm Practice Information Based on Monitored Temperature Conditions. International Journal of Science, Technology and Society, 2(6), 165-173. https://doi.org/10.11648/j.ijsts.20140206.11

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    Ewang Essien Sampson; Thomas Kokumo Yesufu. Development of a Technique for Improving Access to Farm Practice Information Based on Monitored Temperature Conditions. Int. J. Sci. Technol. Soc. 2014, 2(6), 165-173. doi: 10.11648/j.ijsts.20140206.11

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    AMA Style

    Ewang Essien Sampson, Thomas Kokumo Yesufu. Development of a Technique for Improving Access to Farm Practice Information Based on Monitored Temperature Conditions. Int J Sci Technol Soc. 2014;2(6):165-173. doi: 10.11648/j.ijsts.20140206.11

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  • @article{10.11648/j.ijsts.20140206.11,
      author = {Ewang Essien Sampson and Thomas Kokumo Yesufu},
      title = {Development of a Technique for Improving Access to Farm Practice Information Based on Monitored Temperature Conditions},
      journal = {International Journal of Science, Technology and Society},
      volume = {2},
      number = {6},
      pages = {165-173},
      doi = {10.11648/j.ijsts.20140206.11},
      url = {https://doi.org/10.11648/j.ijsts.20140206.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsts.20140206.11},
      abstract = {The study designed and implemented a temperature monitoring system. The system generated timely an accurately farm practice information from monitored temperature data. This was with a view to providing critical information in advance to farmers for making proper agricultural farm management decisions. A system that monitored soil temperature at an interval of 10 minutes in a Metrological Station was set up. This comprised of a programmable interface controller (PIC) 18F452, temperature sensor,  real time clock DS1307RTC  and micro secure digital memory card  with adapter in normal SD card application. The circuit was designed with Proteus Institute for Software Integrated Systems (ISIS) and the components were placed on the Vero board as laid out in the circuit diagram and then soldered. The firmware, written with C programming language, compiled, using Custom Computer Service Compiler (CCS C) for PIC. Subsequently, calibration was carried out and the readings from the device were validated and benchmarked with that of the standard analogue thermometer and automated data systems. Furthermore, the results were examined statistically using Auto-Regressive Integrated Moving Average (ARIMA) model with expert modeler, to predict the soil temperature and obtain farm practice information based on the recorded values. A Short Message Service (SMS) application interface was developed for Global System for Mobile Communication (GSM) module (SIM300) using visual C# programming language. The paired t-test from the analysis showed that there was no significant difference (p > 0.05) and there were positive correlations between the designed temperature system, a standard analog thermometer and an automated data logging system. From the family of the identified models, ARIMA (0,1,0) model was found to be the most adequate model that really captured the dependence in the series. The performance evaluations of the adopted model was carried out on the basis of correlation coefficient (R2) and Ljung-Box statistics with values of 0.95, 13.58 and 0.96, 19.75 respectively for soil temperature at 5 cm and 10 cm soil depths. The model was used for forecast from weeks 11- 35, 2013. The result of the analysis from the graph of the predicted soil temperature at 5 cm soil depth showed that between weeks 21-43 and 18-35 fell between 10ºC and 30ºC. Within these periods maize seeds could be planted. The developed technique would provide an improved access to farm practice information based on monitored soil temperature conditions and, thereby, bring about better decision making by related stakeholders.},
     year = {2014}
    }
    

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  • TY  - JOUR
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    AU  - Ewang Essien Sampson
    AU  - Thomas Kokumo Yesufu
    Y1  - 2014/10/30
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    JF  - International Journal of Science, Technology and Society
    JO  - International Journal of Science, Technology and Society
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    EP  - 173
    PB  - Science Publishing Group
    SN  - 2330-7420
    UR  - https://doi.org/10.11648/j.ijsts.20140206.11
    AB  - The study designed and implemented a temperature monitoring system. The system generated timely an accurately farm practice information from monitored temperature data. This was with a view to providing critical information in advance to farmers for making proper agricultural farm management decisions. A system that monitored soil temperature at an interval of 10 minutes in a Metrological Station was set up. This comprised of a programmable interface controller (PIC) 18F452, temperature sensor,  real time clock DS1307RTC  and micro secure digital memory card  with adapter in normal SD card application. The circuit was designed with Proteus Institute for Software Integrated Systems (ISIS) and the components were placed on the Vero board as laid out in the circuit diagram and then soldered. The firmware, written with C programming language, compiled, using Custom Computer Service Compiler (CCS C) for PIC. Subsequently, calibration was carried out and the readings from the device were validated and benchmarked with that of the standard analogue thermometer and automated data systems. Furthermore, the results were examined statistically using Auto-Regressive Integrated Moving Average (ARIMA) model with expert modeler, to predict the soil temperature and obtain farm practice information based on the recorded values. A Short Message Service (SMS) application interface was developed for Global System for Mobile Communication (GSM) module (SIM300) using visual C# programming language. The paired t-test from the analysis showed that there was no significant difference (p > 0.05) and there were positive correlations between the designed temperature system, a standard analog thermometer and an automated data logging system. From the family of the identified models, ARIMA (0,1,0) model was found to be the most adequate model that really captured the dependence in the series. The performance evaluations of the adopted model was carried out on the basis of correlation coefficient (R2) and Ljung-Box statistics with values of 0.95, 13.58 and 0.96, 19.75 respectively for soil temperature at 5 cm and 10 cm soil depths. The model was used for forecast from weeks 11- 35, 2013. The result of the analysis from the graph of the predicted soil temperature at 5 cm soil depth showed that between weeks 21-43 and 18-35 fell between 10ºC and 30ºC. Within these periods maize seeds could be planted. The developed technique would provide an improved access to farm practice information based on monitored soil temperature conditions and, thereby, bring about better decision making by related stakeholders.
    VL  - 2
    IS  - 6
    ER  - 

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Author Information
  • Department of Research and Development, ARCSSTE-E, O.A.U. Campus Ile-Ife, Osun, Nigeria

  • Department of Electronic and Electrical Engineering, Obafemi Awolowo University, Ile- Ife, Osun, Nigeria

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