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Fuzzy decision support system for fertilizer

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Abstract

Fuzzy geographic information systems is a newly emerging field of computational intelligence. It combines fuzzy logic with spatial context. Most of the natural phenomena are fuzzy in nature. They show a degree of uncertainty or vagueness in their extent and attribute, which cannot be expressed by a crisp value. Agriculture is one of the fields of the spatial domain that needs to be described in fuzzy terms. Fertilizer is a key input for the agriculture sector. In this article, the spatial surfaces of fertilizers are developed for the wheat crop using a fuzzy decision support system. The algorithm of our system takes soil nutrients and cropping time as input, applies fuzzy logic on the input values, defuzzifies the fuzzy output to crisp value, and generates a fertilizer surface. The resultant output surface of fertilizer describes the amount of fertilizer needed to cultivate a specific crop in a specified area. The complexity of our algorithm is \(O(mnr)\), where \(m\) is the height of the raster, \(n\) is the width of the raster, and \(r\) is the number of expert rules.

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Acknowledgments

The authors are highly thankful to the Professor John MacIntyre, Editor-in-Chief, and referees for their invaluable comments and suggestions for improving the paper.

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Authors and Affiliations

  1. Punjab University College of Information Technology, University of the Punjab, Old Campus, Lahore, 54000, Pakistan

    Ather Ashraf & Mansoor Sarwar

  2. Department of Mathematics, University of the Punjab, New Campus, Lahore, Pakistan

    Muhammad Akram

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  1. Ather Ashraf
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  2. Muhammad Akram
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  3. Mansoor Sarwar
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Correspondence to Muhammad Akram.

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Ashraf, A., Akram, M. & Sarwar, M. Fuzzy decision support system for fertilizer. Neural Comput & Applic 25, 1495–1505 (2014). https://doi.org/10.1007/s00521-014-1639-4

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  • DOI: https://doi.org/10.1007/s00521-014-1639-4

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