Main Article Content
Abstract
Agriculture is the backbone of Indian economy. Today data science plays an important role in farming
domain. In farming sector where farmers and agribusinesses have to make numerous decisions every day
and elaborate complexities involves the various factors influencing them. An essential issue for farming
planning purpose is the accurate time for the various crops production involved in the planning. Data
science tools are essential toward for accomplishing realistic and effective solutions for this difficulty.
Unpredictability in market, input levels, combinations and product prices has made it all the more
applicable for farmers to use information and get help to make significant farming decisions. This paper
focuses on the analysis of the agricultural product market data and finding best possible parameters to
take full advantage of the crop production using data science tools such as Linear Regression, density
plot and pie-chart. Taking out the large amount of existing crop, market data and analyzing new, nonexperimental
data optimizes the production and makes farming more flexible according to market trend.