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  Published Paper Details:

  Paper Title

ANDROID BASED APPLICATION FOR FARMERS TO PREDICT AND TRADE CROPS

  Authors

  Hitesh Punjabi,  Divyajyoti Pandey,  Chintan Marvaniya,  Prasad Naik,  Naresh Thoutam

  Keywords

Agricultural sector, Trading, Local market, weather forecasting, yield prediction, authentication, Middleman problem.

  Abstract


Humankind has met its basic need for food production through agriculture. Decades ago, farmers mostly grew food for their consumption or sale with others in the same village or neighborhood. They were mostly independent. However, in the present era, the manufacturing environment is changing significantly from self-sufficiency to commercialization. Scientific advances in crops, the use of fertilizers, pesticides, pesticides, and mechanization of agriculture have resulted in a significant increase in agricultural production and thus an increase in commodities and commodity surpluses. Advanced production is accompanied by increased urbanization, changes in incomes, consumer lifestyles and eating habits, and strengthening ties with external markets. Consumers today are not limited to rural areas where food is produced. In addition, as the demand for processed food or semi-finished products increases, the cost of agricultural products is required to rise. These changes require food commodities to move from producers to consumers in the form of value-added products. As one of the most important fields for human endurance. Farmers are people who support agriculture. Agriculture has proven disadvantageous to small farmers as there are agents who earn significantly more than farmers.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2205299

  Paper ID - 219569

  Page Number(s) - c674-c678

  Pubished in - Volume 10 | Issue 5 | May 2022

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Hitesh Punjabi,  Divyajyoti Pandey,  Chintan Marvaniya,  Prasad Naik,  Naresh Thoutam,   "ANDROID BASED APPLICATION FOR FARMERS TO PREDICT AND TRADE CROPS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 5, pp.c674-c678, May 2022, Available at :http://www.ijcrt.org/papers/IJCRT2205299.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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