1887

Abstract

Summary

The use of two geophysical methods is presented, the electrical resistivity tomography and GPR. Integrating these methods in agricultural environments posses significant advantages in water and fertilizer consumption representing a very fast and useful tool in the area of precision agriculture as well. The results are promising, achieving a level of precision by implementing various IoT (internet of things) devices and adaptations of the method and data processing.

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/content/papers/10.3997/2214-4609.201902401
2019-09-08
2024-04-18
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References

  1. Adamchuk, V.L., Hummel, J.W., Morgan, M.T. and Upadhyaya, S.K.
    [2004] On-the-go soil sensors for precision agriculture. Computer and Electronics in Agriculture, 44, 71–91.
    [Google Scholar]
  2. Allred, J.B., Daniels, J.J, Ehsani, M.R.
    [2008] Handbook of Agricultural Geophysics. Taylor and Francis.
    [Google Scholar]
  3. Chawla, S., Kapoor, A., Sharma, S., Shukla, B., Gupta, M., Kaushik, P. And Pushkar, S.
    [2016] App based Garden Bot for Regulation of Water Level in plants. International Research Journal of Engineering and Technology, 03, 10.
    [Google Scholar]
  4. Gerea, A. and Mihai, A.
    [2018] Geophysics Applied in Precision Agriculture - Experimental Resistivity Studies for Plant Root Detection and Analysis. 24th European Meeting of Environmental and Engineering Geophysics 2018. (Abstract)
    [Google Scholar]
  5. Hagrey, S.A.
    [2007] Geophysical imaging of root-zone, trunk, and moisture heterogeneity. Journal of Experimental Botany, 58, 839–854.
    [Google Scholar]
  6. Hagrey, S.A. and Petersen, T.
    [2011] Numerical and experimental mapping of small root zones using optimized surface and borehole resistivity tomography. Geophysics, 76, 25–35.
    [Google Scholar]
  7. Ishak, S.N., Malik, N.N.N.A, Latiff, N.M.A., Ghazali, N.E. and Baharudin, M.A.
    [2017] Smart Home Garden Irrigation System Using Raspberry Pi. IEEE 13th Malaysia International Conference on Communications, (Abstract).
    [Google Scholar]
  8. Michot, D., Benderitter, Y., Dorigny, A., Nicoullaud, B., King, D. and Tabbagh, A.
    [2003] Spatial and temporal monitoring of soil water content with an irrigated corn crop cover using surface electrical resistivity tomography. Water Resources Research, 39, 1–20.
    [Google Scholar]
  9. Reynolds, J.M.
    [2011] An Introduction to Applied and Environmental Geophysics - 2nd ed. Wiley-Blackwell. 289–346
    [Google Scholar]
  10. Stummer, P., Maurer, H. and GreenA.G.
    [2004] Experimental design: Electrical resistivity data sets that provide optimum subsurface information. Geophysics, 69, 120–139.
    [Google Scholar]
  11. Werban, U., Hagrey, S.A. and Rabbel, W.
    [2008] Monitoring of root-zone water content in the laboratory by 2D geolectrical tomography. Journal of Plant Nutrition and Soil Science, 171, 927–935.
    [Google Scholar]
  12. Wilkinson, P.B., Meldrum, P.I., Chambers, J.E., Kuras, O. and Ogilvy, D.
    [2006] Improved strategies for the automatic selection of optimized sets of electrical resistivity tomography measurements configurations. Geophysical Journal International, 167, 1119–1126.
    [Google Scholar]
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