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  Published Paper Details:

  Paper Title

FARM AMIGO: INTRODUCING ARTIFICIAL INTELLIGENCE AND IOT IN THE AGRICULTURAL SECTOR.

  Authors

  Mr. Milan Maurya,  Mr. Om Chaturvedi,  Dr. Mohammed Bakhtawar Ahmed

  Keywords

Farm Amigo: Introducing Artificial Intelligence and IOT in the Agricultural Sector.

  Abstract


Agriculture is a crucial part of Indian economy. Over 60% of Indian populace based mostly upon agriculture and one third of the financial gain of the nation arises from agricultural practices. Thus, it plays an important role in the development of the country. Various troubles associated to farming is constantly hampering the improvement of the country. Attainable answer for these issues is to choose progressive agriculture practices that includes of contemporary trends. Hence, agriculture will be created good exploitation IoT and alternative technologies. Smart agriculture will increase crop yield, decreases water wastage and unbalanced use of fertilizers. The Major feature of this project is that it measures the various agricultural parameters affecting the yield and it additionally uses a GPS module to induce the knowledge regarding the location. Secondly it sends all the information to the cloud wherever it can be analyzed. Third this project additionally carries a mobile app providing a straight forward access of information to the farmer. In conclusion this project represents a smart irrigation, Fertilization and monitoring system that helps the farmer.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2111298

  Paper ID - 213437

  Page Number(s) - c663-c672

  Pubished in - Volume 9 | Issue 11 | November 2021

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Mr. Milan Maurya,  Mr. Om Chaturvedi,  Dr. Mohammed Bakhtawar Ahmed,   "FARM AMIGO: INTRODUCING ARTIFICIAL INTELLIGENCE AND IOT IN THE AGRICULTURAL SECTOR.", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 11, pp.c663-c672, November 2021, Available at :http://www.ijcrt.org/papers/IJCRT2111298.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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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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