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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2015-09-16
Artificial Neural Network Model for Soil Moisture Estimation at Microwave Frequency
By
Raman Menon Rajesh Mohan,

    Dr. Raman Menon Rajesh Mohan

    Division of Electronics Engineering

    School of Engineering, CUSAT

    India

    Homepage

Shanta Mridula,

    Professor Shanta Mridula

    Division of Electronics Engineering, School of Engineering

    Cochin University of Science And Technology

    India

    Homepage

Pezholil Mohanan

    Professor Pezholil Mohanan

    Department of Electronics

    Cochin University of Science & Technology

    India

    Homepage

Progress In Electromagnetics Research M, Vol. 43, 175-181, 2015
doi:10.2528/PIERM15070501 | Google Scholar

Abstract
This paper reports a neural-network-based methodology to estimate the amount of moisture content in soil at L, S and C frequency bands. A multilayered artificial neural network, using the Levenberg-Marquardt algorithm, is used as the ANN model. The input training data comprise the measured values of dielectric constant of soil in the dry and moist states. Dielectric constant is measured using microwave free-space transmission technique. Measurement has been performed using Vector Network Analyzer (VNA), microstrip patch antenna and soil sample holder. One great advantage with this method is that there is no need to test the pH value of the soil sample, and hence all the associated pre-processing steps, such as drying, pulverizing, can be avoided.
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Citation
Raman Menon Rajesh Mohan, Shanta Mridula, and Pezholil Mohanan, "Artificial Neural Network Model for Soil Moisture Estimation at Microwave Frequency," Progress In Electromagnetics Research M, Vol. 43, 175-181, 2015.
doi:10.2528/PIERM15070501
References

1. CMG Garden Notes 211 Colorado State University Extension, 2011.

2. Wastelands Atlas of India, Land Use Division, Land Resources Group, RS & GIS Applications Area, National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad, 2010.        Google Scholar

3. Freedman, G., "The future of microwave heating equipment in the food industries," Microwave Power, Vol. 7, 1973.        Google Scholar

4. Fox, M. J., Handbook of Microwave Measurements, Polytechnic Press Institute, 1963.

5. Nelson, S. O., "Dielectric properties measuring techniques and applications," American Society of Agricultural Engineers, Paper No. 983067. St. Joseph, MI, 1998.        Google Scholar

6. Rajesh Mohan, R., B. Paul, S. Mridula, and P. Mohanan, "Measurement of soil moisture content at microwave frequencies," International Conference on Information and Communication Technologies (ICICT 2014), Elsevier Procedia Computer Science, Vol. 46, 1238-1245, 2015.
doi:10.1007/1-4020-3288-9        Google Scholar

7. Behari, J., Microwave Dielectric Behaviour of Wet Soils, Anamaya Publishers, 2005.

8. Venkatesh, M. S. and G. S. V. Raghavan, "An overview of dielectric properties measuring techniques," Canadian Biosystems Engineering, Vol. 47, 2005.
doi:10.1029/WR016i003p00574        Google Scholar

9. Topp, G. C., J. L. Davis, and A. P. Annan, "Electromagnetic determination of soil water content and electrical conductivity measurement using time domain reflectometry," Water Resources Research, Vol. 16, 574-582, 1980.        Google Scholar

10. Trabelsi, S. and S. O. Nelson, Free-space Measurement of Dielectric Properties of Cereal Grain and Oilseed at Microwave Frequencies, 589-600, Institute of Physics Publishing, 2003.

11. Analysis report Form ST-4, District Soil Testing Laboratory, Ernakulam and Palakkad, Kerala, South India, 2014.
doi:10.1002/mop.21230        Google Scholar

12. Ouchar, A., R. Aksas, and H. Baudrand, "Artificial neural network for computing the resonant frequency of circular patch antennas," Microwave and Optical Technology Letters, Vol. 47, No. 6, 564-566, 2005.
doi:10.1109/MAP.2011.5773614        Google Scholar

13. Hasan, A. and A. F. Peterson, "Measurement of complex permittivity using artificial neural networks," IEEE Antennas and Propagation Magazine, Vol. 53, No. 1, 2011.        Google Scholar

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