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  Published Paper Details:

  Paper Title

RASPBERRY PI BASED INTELLIGENT AUTONOMOUS FARMING ROBOT WITH PLANT HEALTH INDICATION USING IMAGE PROCESSING

  Authors

  Prerana S. Doke,  Samadhan.D.Mali

  Keywords

Image processing; Raspberry Pi; Open CV.

  Abstract


Agriculture is a most important and ancient occupation in India. As an economy of India is based on agricultural production, utmost care of food production is necessary. Virus, fungus and bacteria such pest causes infection to plants with loss in quantity and quality production. Because of that large amount of loss in production. Hence proper care of plants is necessary for same. This paper presents an overview of Raspberry Pi based Intelligent Autonomous Farming Robot using Image Processing methods to detect various plant diseases. Farming Robot provides more efficient ways to detect diseases caused by fungus, bacteria or virus on plants. Mere observations by eyes to detect diseases are not accurate. Overdose of pesticides causes harmful chronic diseases on human beings. Nowadays due to spraying of pesticides on crop framers suffer from many chronic diseases that even caused death of farmer. Excess use also damages plants nutrient quality. It results in huge loss of production to farmer. Hence use of Raspberry Pi based Intelligent Autonomous Farming Robot using Image Processing methods to detect and classify diseases in agricultural applications is helpful.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1893044

  Paper ID - 190406

  Page Number(s) - 278-282

  Pubished in - Volume 6 | Issue 2 | APRIL 2018

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Prerana S. Doke,  Samadhan.D.Mali,   " RASPBERRY PI BASED INTELLIGENT AUTONOMOUS FARMING ROBOT WITH PLANT HEALTH INDICATION USING IMAGE PROCESSING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 2, pp.278-282, APRIL 2018, Available at :http://www.ijcrt.org/papers/IJCRT1893044.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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