This paper is published in Volume-6, Issue-3, 2020
Area
Agriculture And Data Analysis
Author
Shashank Agrahari, Shivam Punia, Shivam Tyagi, Manish Kumar Sharma
Org/Univ
Galgotias College of Engineering and Technology, Greater Noida, Uttar Pradesh, India
Pub. Date
10 June, 2020
Paper ID
V6I3-1478
Publisher
Keywords
Crop Selection, Data Science, Technology and Agriculture Crop prediction,Data Analysis

Citationsacebook

IEEE
Shashank Agrahari, Shivam Punia, Shivam Tyagi, Manish Kumar Sharma. SAFE: Simplified Agro-Farmic Enumerate, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Shashank Agrahari, Shivam Punia, Shivam Tyagi, Manish Kumar Sharma (2020). SAFE: Simplified Agro-Farmic Enumerate. International Journal of Advance Research, Ideas and Innovations in Technology, 6(3) www.IJARIIT.com.

MLA
Shashank Agrahari, Shivam Punia, Shivam Tyagi, Manish Kumar Sharma. "SAFE: Simplified Agro-Farmic Enumerate." International Journal of Advance Research, Ideas and Innovations in Technology 6.3 (2020). www.IJARIIT.com.

Abstract

The agriculture sector of India employees a major population of Indians. But still, due to emerging constructional projects, the agricultural lands are decreasing. And the number of people to feed is increasing day by day. Also, the profit earned by the farmers for their crops is not satisfactory. So, the solution to all these problems could be a proper crop selection. In India, the crop selection is still done using traditional methods. Some still select the crop on the basis of soil type, but it is not sufficient in today's time. Crop selection can be done more accurately with the help of other factors including soil type, climate, water level, season, etc. Crop selection can be done with the help of Data Science. Data Science is a technology that has the potential to transform every industry on this earth, agriculture is among them.
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