International Journal of Applied Science and Engineering
Published by Chaoyang University of Technology

Muhammad E. H. Chowdhurya*, Md Belayat Hossainb, Tamal Adhikaryc,  Mir Toufikur Rahmand and Md. Abdur Razzaquec

aDepartment of Electrical Engineering, Qatar University, Doha, Qatar
bDepartment of Electronic & Telecommunication Engineering, Atish Dipankar University of Science & Technology, Dhaka, Bangladesh
cDepartment of Computer Science & Engineering, University of Dhaka, Dhaka, Bangladesh
dDepartment of Electrical Engineering, University of Malaya, Kuala Lumpur, Malaysia


 

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ABSTRACT


Continuous cropping without adequate measurement and provisioning of soil nutrient may endanger the sustainability of agriculture. Soil nutrient measurement is greatly required for proper plant growth and effective fertilization. Existing methods of soil testing generally use visual comparison of soil solution colour with the colour-chart and this makes it subjective and error prone and time consuming whereas the spectrophotometer is very expensive and none of the approach suitable for remote analysis of soil macronutrients. On the other hand, the optical sensor could sensitively detect the soil solution colour changes thereby detecting soil nutrients in the sample without delay and subjective error. In this work, a compact optical sensor based on photometric detection of soil nutrients using high precision Photo Diode (PD) and Light Emitting Diode (LED) was developed. Real-time optical sensor using PIC microcontroller was integrated to a remote data collection server for the ease of acquisition and post-processing. The wavelength of LEDs is chosen to fit the absorption band of chemical reagents whose colour develops by reaction with soil nutrients. The sensor was used to detect three soil macronutrients: ammonia nitrogen (NH4-N), nitrate nitrogen (NO3-N), available phosphorus oxide (P2O5) from colour changes caused by addition of chemical reagent in a transparent plastic cell (5.5 mm path length). The resolution of 0.1-20 mg/100g was used as standard solution. The fifteen test samples were taken from different farmlands and ten soil samples were used to calibrate the optical sensor comparing with the result obtained by a colour chart laboratory judgement. The calibration factors obtained were then used to evaluate five unknown soil samples and the results were finally compared with laboratory results, and designed system showed good level of agreement with the laboratory results.


Keywords: Soil nutrient; macronutrients; ammonia nitrogen; nitrate nitrogen; phosphorus; LED.


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REFERENCES


  1. [1] Sahota, H., Kumar, R., Kamal, A., Huang, J. 2010. An energy efficient wireless sensor network for precision agriculture. In Proceeding of IEEE Symposium on Computers and Communications, ISCC 2010. Riccione, Italy, 347 - 350.

  2. [2] Gebbers, R. and Adamchuk, V. I. 2010. Precision agriculture and food security. Science, 327, 5967: 828-831.

  3. [3] McCauley, A., Jones, C. and Jacobsen, J. 2009. Soil pH and organic matter. Nutrient Management Modules 8, MSU extension service, Montana State University, Montana, U.S.A., SKU 4449-8: 1-12.

  4. [4] Schirrmann, M. and Domsch, H. 2011. Sampling procedure simulating on-the-go sensing for soil nutrients. Journal of Plant Nutrition and Soil Science, 174, 2: 333-343.

  5. [5] Sun, B., Zhou, S. and Zhao, Q. 2003. Evaluation of spatial and temporal changes of soil quality based on geostatistical analysis in the hill region of subtropical China. Geoderma, 115, 1-2: 85-99.

  6. [6] Atreya, K., Sharma, S., Bajracharya, R. M., and Rajbhandaric, N. P. 2008. Developing a sustainable agro-system for central Nepal using reduced tillage and straw mulching. Journal of Environmental Management, 88, 3: 547-555.

  7. [7] Wang, Z. M., Song, K. S., Zhang, B., Liu, D. W., Li, X. Y., Ren, C. Y., Zhang, S. M., Luo, L., and Zhang, C. H. 2009. Spatial variability and affecting factors of soil nutrients in croplands of Northeast China: A case study in Dehui County. Soil and Environment, 55, 3: 110-120.

  8. [8] Bouma, J. and Finke, P. A. 1993. Origin and nature of soil resource variability. In Proceedings of the Soil Specific Crop Management, April 14-16, 1992. Minneapolis, U.S.A., 3-13.

  9. [9] Zhang, X.-Y., Sui, Y.-Y., Zhang, X.-D., Meng, K., and Herbert, S. J., 2007. Spatial variability of nutrient properties in black soil of Northeast China. Pedosphere, 17, 1: 19-29.

  10. [10] Gliessman, S. R. 1985. Multiple cropping systems: A basis for developing an alternative agriculture. In Innovative biological technologies for lesser developed countries, Proceedings of workshop. OTA, Washington, DC, U.S.A., 69-83.

  11. [11] Staben, M. L., Ellsworth, J.W., Sullivan, D.M., Horneck, D., Brown, B.D., and Stevens, R.G. 2003. Monitoring Soil Nutrients using a Management Unit Approach. OSU Extension Service, PNW 570-E, Oregon State university, Oregon, U.S.A.

  12. [12] Hue, N. V., Uchida, R., Ho, M. C. 2000. Sampling and Analysis of Soils and Plant Tissues: How to Take Representative Samples, How the Samples are Tested. In Silva J.A. and Uchida R.S. (Eds), Plant Nutrient Management in Hawaii’s Soils: Approaches for Tropical and Subtropical Agriculture. Honolulu, University of Hawaii, 23-30.

  13. [13] Laboski, C. A. M., Peters, J. B. and Bundy, L. G. 2006. Nutrient application guidelines for field, vegetable, and fruit crops in Wisconsin. Division of Cooperative Extension of the University of Wisconsin-Extension, Madison, Wisconsin, U.S.A.

  14. [14] Vegetable Gardener. 2013. Soil testing Savvy. Retrieved on May 15, 2013 from http://www.vegetablegardener.com/item/2374/soil-testing-savvy.

  15. [15] Olsen, S. R. Cole, C. V., Watanabe, F. S. and Dean, L. A. 1954. Estimation of Available Phosphorus in Soils by Extraction with Sodium Bicarbonate. Circular, 939, U.S. Department of Agriculture, Washington, U.S.A.

  16. [16] Yokota, M., Okada, T., and Yamaguchi, I. 2007. An optical sensor for analysis of soil nutrients by using LED light sources. Measurement Science and Technology, 18, 7: 21972201.


ARTICLE INFORMATION


Received: 2015-05-01
Revised: 2016-03-29
Accepted: 2016-04-11
Available Online: 2016-07-01


Cite this article:

Chowdhury, M.E.H., Hossain, Md.B., Adhikary, T., Rahman, M.T., Razzaque, Md.A. 2016. Remote analysis of soil macronutrients using optical sensor for precision agriculture. International Journal of Applied Science and Engineering, 14, 87–99. https://doi.org/10.6703/IJASE.2016.14(2).87