Call for Paper - November 2022 Edition
IJCA solicits original research papers for the November 2022 Edition. Last date of manuscript submission is October 20, 2022. Read More

Hand Held Device for Detection of Pesticides using NDVI

Print
PDF
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Tejkanwar Singh, Mandeep Singh
10.5120/ijca2016912226

Tejkanwar Singh and Mandeep Singh. Hand Held Device for Detection of Pesticides using NDVI. International Journal of Computer Applications 154(9):29-35, November 2016. BibTeX

@article{10.5120/ijca2016912226,
	author = {Tejkanwar Singh and Mandeep Singh},
	title = {Hand Held Device for Detection of Pesticides using NDVI},
	journal = {International Journal of Computer Applications},
	issue_date = {November 2016},
	volume = {154},
	number = {9},
	month = {Nov},
	year = {2016},
	issn = {0975-8887},
	pages = {29-35},
	numpages = {7},
	url = {http://www.ijcaonline.org/archives/volume154/number9/26521-2016912226},
	doi = {10.5120/ijca2016912226},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Population of the earth is soaring day by day but the resources are limited. To fulfill the need of food the farmers continuously strive to increase the production of crops not only by natural fertilizers but also with the help of artificial chemical fertilizers and pesticides. Chemical fertilizers, pesticides, and herbicides are used to protect the crops from any kind of harm caused by pests, insects and fungi. These may lead to the increase in production but in turn degrade the quality of food. Due to excessive use of fertilizers and pesticides these chemicals enter the food chain and ultimately cause biomagnifications. We are ingesting the same products and they adversely affect our health. Hence we need a portable device which can analyze the organic components of the eatable substance. This research focuses on determining the organic as well as inorganic components of the eatable so that the consumer may know whether the eatable is fit for consumption or not. This research comprises of an electronic device which would detect chemicals present with the help of infrared light. The device would show the ratio of organic components to inorganic components. The consumer can use this ratio as a benchmark to buy the eatables fit for consumption.

References

  1. Sarvesh Rustagi and Pravesh Kumar 2013 Biosensor and It’s Application in Food Industry
  2. Vijay Kumar, Niraj Upadhay, A.B. Wasit, Simranjeet Singh and Parvinder Kaur, “Spectroscopic Methods for the Detection of Organophosphate Pesticides ,” 2013 in Curr. World Environ., vol. 8, no. 2, pp. 313-318,
  3. M. Usman tahir, Salma Iqbal Naik, Salma Rehman and M. Shahzad, “A quantitative analysis for the toxic pesticide residues in marketed fruits and vegetables in lahore, pakistan,” Dec. 2009 in Biomedica., vol. 25, pp. 171 – 174,
  4. A. J. Dhembare, “Bitter truth about fruit with reference to artificial ripener,” 2013 in Archives of Applied Science Research, vol. 5, no. 5, pp. 45-54,
  5. Horiguchi, Takuro. "Drifting pesticide detection based on attenuated total reflection of infrared spectroscopy”, 2011 in proceedings of IEEE SICE Anuual Conference
  6. Bhandari, A. K., A. Kumar, and G. K. Singh. 2012 Feature extraction using Normalized Difference Vegetation Index (NDVI): a case study of Jabalpur city.in proceedings of Procidia Technology
  7. Riczu, Péter, Attila Nagy, Éva Bozsik, Bernadett Gálya, Péter Ákos Mesterházi, and János Tamás 2013 Complex Vegetation Survey in a Fruit Plantation by Spectral Instruments in  Journal of Agricultural informatics, vol no. 4, page no. 37-42
  8. Bhadekar, Rama "Developments in analytical methods for detection of pesticides in environmental samples." 2011 in American Journal of Analytical Chemistry.
  9. M. Tsukioka, H. Ishizawa, T. Takano, H. Yamada, K. Nakagawa, N. Tanaka, “Classification of Pesticide Residues in the Agricultural Products Based on Diffuse Reflectance IR Spectroscopy”, 2007 in proceedings of SICE Annual Conference, pp.216-219
  10. T. Takano, H, Ishizawa, K. Honda, H, Yamada, “Detection Drift and Classifying Concentration of Pesticide on the Basis of Infrared Spectral Feature Analysis”, 2009 in Journal of The Illuminating Engineering Institute of Japan,Vol. 93, page no.5, pp.267-272,.
  11. Correia‐Sá, Luísa "Optimization of QuEChERS method for the analysis of organochlorine pesticides in soils with diverse organic matter." 2012 Journal of separation science, page no. 1521-1530
  12. Rodrigues, Dasciana 2011 Determination of insecticide residues in vegetal fruits in  Chromatography Research International 
  13. Bueno, D., et al. "Characterization of biosensors for the detection of pesticides using a sequential injection analysis system." Sept. 2010 in Electrical Engineering Computing Science and Automatic a Control (CCE), pp.429-433,.
  14. Rodriguez, Ian R., and Grady L. Miller. "Using a chlorophyll meter to determine the chlorophyll concentration, nitrogen concentration, and visual quality of St. Augustinegrass."  2000 in HortScience
  15. Steven J. Lehotay, KaterinaMastovska, Aviv Amirav, Alexander B. Fialkov, Tal Alon, Perry A. Martos, Andre´ de Kok and Amadeo R. Ferna´ndez-Alba., “Identification and confirmation of chemical residues in food by chromatography-mass spectrometry and other

Keywords

Microcontroller PIC18F452, Infrared sensor, ADC, LCD, Photodiode