Feature Selection towards Soil Classification in the context of Fertility classes using Machine Learning
Janmejay pant1, Pushpa Pant2, Ashutosh Bhatt3, Himanshu Pant4, Nirmal Pandey5

1Janmejay Pant, Dept. of Computer Science, Graphic Era Hill University, Bhimtal, India.
2Puspha Pant, Dept. of Geography, M.B. Govt. P.G College, Haldwani, India.
3Ashutosh Bhatt, Dept. of Computer Science , BIAS, Bhimtal, India.
4Himanshu Pant, Dept. of Computer Science, Graphic Era Hill University, Bhimtal, India.
5Nirmal Pandey, Dept. of Computer Science and Applications, Amrapali Group of Institute Haldwani, India.

Manuscript received on September 12, 2019. | Revised Manuscript received on 22 September, 2019. | Manuscript published on October 10, 2019. | PP: 4000-4004 | Volume-8 Issue-12, October 2019. | Retrieval Number: L34871081219/2019©BEIESP | DOI: 10.35940/ijitee.L3487.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Soil is recognized as one of the most valuable entity which is responsible for sustaining life on the earth. It is clear that Indian economy is largely dependent on agriculture. In India, for a large section of the population the sole or major source of earnings is agriculture. There are many factors which are responsible in yield production and also affect agriculture. Soil is one of them and plays a crucial role in yield production. Soil nutrients are important aspects that contribute to soil fertility. In this paper we classify soil in the form of fertility index level using machine learning. We induced rule model on training data and apply this model on test data for making predictions for fertility level classes. In this paper we have used Rough Set method to classify the data based on fertility level class and calculate the accuracy of the used classifier.
Keywords: Feature Selection, Fertility Index, Rough Set, Soil Nutrients, Reduct, Rule.
Scope of the Article: Soil-Structure Interaction