Farmer's Adviser System
Monika Hivarkar, Svpm's coe malegaon bk; Pooja Chormale ,Svpm's coe Malegaon bk; Dipali Jaypatre ,Svpm's coe Malegaon bk
Agriculture, Data Analysis, Prediction Algorithms, Regression Analysis
About 64.14 per cent of the people of Maharashtra state are employed in agriculture, but it’s contribution towards the GSDP of Maharashtra is only 12.5 per cent. One possible reason for this poor contribution is the lack of sufficient crop planning by farmers. In this paper we try to predict crop yield and price that a farmer can obtain from his land. For this we analyze the patterns in past data and use sliding window non-linear regression technique based on different factors affecting agricultural production such as temperature, rainfall, area of land, market prices and previous crop taken in farm. Our system intends to suggest the best crop choice and income from the crop for a farmer in order to reduce the common socio-socio-economic issues facing many farmers today.
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Paper ID: GRDJEV03I050110
Published in: Volume : 3, Issue : 5
Publication Date: 2018-05-01
Page(s): 84 - 88
Published in: Volume : 3, Issue : 5
Publication Date: 2018-05-01
Page(s): 84 - 88