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Gene expression programming-fuzzy logic method for crop type classification

Omkar, SN and Ramaswamy, Nikhil and Senthilnath, J and Bharath, S and Anuradha, NS (2012) Gene expression programming-fuzzy logic method for crop type classification. In: 6th International Conference on Genetic and Evolutionary Computing (ICGEC), AUG 25-28, 2012, Kitakyushu, JAPAN, pp. 136-139.

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Official URL: http://dx.doi.org/10.1109/ICGEC.2012.97


Crop type classification using remote sensing data plays a vital role in planning cultivation activities and for optimal usage of the available fertile land. Thus a reliable and precise classification of agricultural crops can help improve agricultural productivity. Hence in this paper a gene expression programming based fuzzy logic approach for multiclass crop classification using Multispectral satellite image is proposed. The purpose of this work is to utilize the optimization capabilities of GEP for tuning the fuzzy membership functions. The capabilities of GEP as a classifier is also studied. The proposed method is compared to Bayesian and Maximum likelihood classifier in terms of performance evaluation. From the results we can conclude that the proposed method is effective for classification.

Item Type: Conference Paper
Series.: International Conference on Genetic and Evolutionary Computing
Publisher: IEEE
Additional Information: Copyright of this article belongs to IEEE.
Keywords: Crop Classification; Gene Expression Programming; Fuzzy Logic
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited: 08 Jul 2013 07:26
Last Modified: 08 Jul 2013 07:26
URI: http://eprints.iisc.ac.in/id/eprint/46836

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