Soil Classification Support for Farming Decisions

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Prof. Nilesh Patil, Apoorav Singh, Piyush Patel, Nisarg Joshi, Pranav Pawaskar

Abstract

The techniques of data mining are extremely popular in the area of agriculture. Data mining involves the systematic analysis of huge information sets, and data processing in agricultural soil datasets is exciting and fashionable analysis space. The productive capability of a soil depends on soil fertility. Today, data processing is employed in a very large area and plenty of ready-to-wear data processing system product and domain specific data processing application software?s are obtainable, however data processing in agricultural soil knowledge sets may be a comparatively a young analysis field. In this paper, we offer internet base answer for the soil testing laboratories yet as free messages for the farmer that contains data like soil testing code, chemical that is important for the crop and additionally the knowledgeable recommendation. Additionally, farmers specify their next crop whereas they furnish their sample to scantiest therefore in keeping with next crop the chemical can recommend. The results supported the classification of contains that should be gif tin soil and in keeping with result report are generated.

Article Details

How to Cite
, P. N. P. A. S. P. P. N. J. P. P. (2017). Soil Classification Support for Farming Decisions. International Journal on Recent and Innovation Trends in Computing and Communication, 5(4), 221–225. https://doi.org/10.17762/ijritcc.v5i4.392
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