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Hand Held Device for Detection of Pesticides using NDVI

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Tejkanwar Singh, Mandeep Singh

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

	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 = {},
	doi = {10.5120/ijca2016912226},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


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.


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Microcontroller PIC18F452, Infrared sensor, ADC, LCD, Photodiode