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Multi-class classification using hybrid soft decision model for agriculture crop selection

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Abstract

A hybrid soft decision model has been developed in this paper to take decision on agriculture crop that can be cultivated in a given experimental land by integrating few soft computing techniques. The proposed model comprises of three parts, namely weight calculation, classification and prediction. Twenty-seven input criteria were categorized into seven broad criteria, namely soil (11 sub-criteria), water (2 sub-criteria), season (no sub-criterion), input (6 sub-criteria), support (2 sub-criteria), facilities (3 sub-criteria) and risk (2 sub-criteria). In the proposed model, relative weights of main criteria were calculated using Shannon’s Entropy method and relative weights of sub-criteria in each main criterion were calculated using rough set approach. As VIKOR method is effective in sorting the alternatives, it is used to determine the ranking index of main criteria in this study. A soft decision system was constructed from the results of rough set method, VIKOR method and Shannon’s Entropy method. Classification rules were generated for five agriculture crops, namely paddy, groundnut, sugarcane, cumbu and ragi based on the soft decision system using bijective soft set approach. The developed model predicts each site in the validation dataset into one of the five crops. The performance of the proposed model has been sanity checked by agriculture experts.

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Acknowledgements

This work is a part of the R&D activities of TIFAC-CORE in Automotive Infotronics located at VIT University, Vellore, Tamil Nadu, India. The authors would like to thank DST, Government of India, for giving required hardware and software provision for finishing this work successfully.

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Authors and Affiliations

  1. School of Information Technology and Engineering, VIT University, Vellore, Tamil Nadu, India

    N. Deepa & K. Ganesan

  2. TIFAC-CORE in Automotive Infotronics, VIT University, Vellore, Tamil Nadu, India

    K. Ganesan

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  1. N. Deepa
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  2. K. Ganesan
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Correspondence to N. Deepa.

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Deepa, N., Ganesan, K. Multi-class classification using hybrid soft decision model for agriculture crop selection. Neural Comput & Applic 30, 1025–1038 (2018). https://doi.org/10.1007/s00521-016-2749-y

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