Optical Sensor for Analysis of Amonia, Iron and Manganese Nutrients

  • Authors

    • Pranav B Lapsiwala
    • . .
    2018-09-22
    https://doi.org/10.14419/ijet.v7i4.5.20091
  • soil nutrient, optical sensor, light emitting diode, photometric.

  • Abstract

    The soil nutrients sensor is developed with the help of Light Emitting diodes (LEDs), Photodiode, microcontroller or microprocessor circuit and data logger system. The sensor is working on photometric principle and detects the soil nutrients. The wavelength of LED used as chemical agent and that is reacts with soil sample. The wavelength of LED is useful to detect nutrients like ammonia nitrogen (NHf4-N), iron (Fe), manganese (Mn) by colour changes with the help of different chemical reagent. The resolution of 1.0-20 mg/100 g has been performed for solution of soil nutrients. The samples are taken from different land and results are compared with database created for analysis.

     

     

  • References

    1. [1] M. Toole, D. Diamond “Absorbance Based Light Emitting Diode Optical Sensors and Sensing Devicesâ€, Soil Science Society of America Journal, 2008, pp. 2453-2479.

      [2] E. Ben-Dor, A. Banin “Near-Infrared Analysis as a Rapid Method to Simultaneously Evaluate Several Soil Propertiesâ€, Soil Science Society of America Journal, 1985, pp.364-37.

      [3] R. Dalal, R. Henry “Simultaneous determination of moisture, organic carbon and total nitrogen by near infrared reflectance spectrophotometryâ€, Science Society of America Journal, 1986, pp.120-123.

      [4] S.J. BIRRELL “Multi-sensor ISFET system for soil analysisâ€, Science Society of America Journal, 1993, pp.1-9.

      [5] S. Birrell, J. Hummel “Membrane selection and ISFET configuration evaluation for soil nitrate sensingâ€, American Society of Agricultural Engineers, 2000, pp. 197-206.

      [6] C. Cheng, D. Laird, “Near-infrared reflectance spectroscopy– principal components regression analyses of soil propertiesâ€, Science Society of America Journal, 2001, pp.480-490.

      [7] B. Stenberg, A. Jonsson “Near infrared technology for soil analysis with implications for precision agricultureâ€, Swedish University of Agricultural Sciences, 2002, pp.279-284.

      [8] B. Jahn, S. Upadhyay “Wavelet-based spectral analysis for soil nitrate content measurementâ€, Science Society of America Journal, 2005, pp.2065-2071.

      [9] S. Stamatiadis, V. Samaras et al “Ground-sensor soil reflectance as related to soil properties and crop response in a cotton fieldâ€, https://link.springer.com/journal/11119">Precision Agriculture , 2005, pp.399-411.

      [10] M. Nanni , M. Dematte “Spectral reflectance methodology in comparison to traditional soil analysis†, Soil Science Society of America Journal, 2006, pp.393-404.

      [11] S. Lemos, J. Alonso et al “Soil calcium and pH monitoring sensor systemâ€, Journal of agricultural and food chemistry, 2007, pp.4658-4663.

      [12] R. Rinnan, A. Rinnan “Application of near infrared reflectance (NIR) and fluorescence spectroscopy to analysis of microbiological and chemical properties of arctic soilâ€, Soil Biology and Biochemistry, 2007, pp.1 664–1673.

      [13] E. Dor, D. Heller et al “A novel method of classifying soil profiles in the field using optical meansâ€, Soil Science Society of America Journal , 2008,pp. 1113-1123.

      [14] H. Kim, J. hummel, “Soil macronutrient sensing for precision agricultureâ€, Journal of Environmental Monitoring, 2009, pp.3047-3310.

      [15] C. Due, J. Zhou “Application of Infrared Photoacoustic Spectroscopy in Soil Analysisâ€, Applied Spectroscopy Reviews, 2011, pp.405-422.

      [16] H. MAhmood, J. Henten et al “Sensor data fusion to predict multiple soil propertiesâ€, https://link.springer.com/journal/11119">Precision Agriculture, 2012, pp.628-645.

      [17] X.An, H. Sun “A portable soil nitrogen detector based on NIRS†, https://link.springer.com/journal/11119">Precision Agriculture, 2014, pp.3-16.

      [18] P. Han, D.Dong et al “A smartphone-based soil color sensor: For soil type classification†, Computers and Electronics in Agriculture , 2016, pp.232-241.

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  • How to Cite

    B Lapsiwala, P., & ., . (2018). Optical Sensor for Analysis of Amonia, Iron and Manganese Nutrients. International Journal of Engineering & Technology, 7(4.5), 288-291. https://doi.org/10.14419/ijet.v7i4.5.20091

    Received date: 2018-09-23

    Accepted date: 2018-09-23

    Published date: 2018-09-22