Fuzzy decision support system for fertilizer

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 $$O(mnr)$$O(mnr), where $$m$$m is the height of the raster, $$n$$n is the width of the raster, and $$r$$r is the number of expert rules.

[1]  András Bárdossy,et al.  Fuzzy logic and risk-based soil interpretations , 1997 .

[2]  A-Xing Zhu,et al.  A similarity model for representing soil spatial information , 1997 .

[3]  E. C. Huffman,et al.  A GIS-based fertilizer decision support system for farmers in Northeast China: a case study at Tong-le village , 2012, Nutrient Cycling in Agroecosystems.

[4]  R. Jana,et al.  A GIS-integrated fuzzy rule-based inference system for land suitability evaluation in agricultural watersheds , 2009 .

[5]  Kazuo Tanaka,et al.  Successive identification of a fuzzy model and its applications to prediction of a complex system , 1991 .

[6]  Serge Guillaume,et al.  Fuzzy Logic Approach for Spatially Variable Nitrogen Fertilization of Corn Based on Soil, Crop and Precipitation Information , 2011, ICCSA.

[7]  Vincent Cocquempot,et al.  Fuzzy Logic System-Based Adaptive Fault-Tolerant Control for Near-Space Vehicle Attitude Dynamics With Actuator Faults , 2013, IEEE Transactions on Fuzzy Systems.

[8]  Giyoung Kweon,et al.  Delineation of site-specific productivity zones using soil properties and topographic attributes with a fuzzy logic system , 2012 .

[9]  Richard E. Klosterman,et al.  Planning Support Systems: Integrating Geographic Information Systems,Models,and Visualization Tools , 2001 .

[10]  Detlef D. Nauck,et al.  Towards the automation of intelligent data analysis , 2006, Appl. Soft Comput..

[11]  Dionissios Kalivas,et al.  Decision support system for nitrogen fertilization using fuzzy theory , 2011 .

[12]  Philippe Lagacherie,et al.  An algorithm for fuzzy pattern matching to allocate soil individuals to pre-existing soil classes , 2005 .

[13]  A-Xing Zhu,et al.  Fuzzy soil mapping based on prototype category theory , 2006 .

[14]  A-Xing Zhu,et al.  Prediction of soil properties using fuzzy membership values , 2010 .

[15]  Samo Drobne,et al.  Regression-fuzzy approach to land valuation , 2011, Central Eur. J. Oper. Res..

[16]  Omar Al-Jarrah,et al.  Municipal solid waste landfill siting using intelligent system. , 2006, Waste management.

[17]  P. Burrough,et al.  FUZZY CLASSIFICATION METHODS FOR DETERMINING LAND SUITABILITY FROM SOIL PROFILE OBSERVATIONS AND TOPOGRAPHY , 1992 .

[18]  Shengyuan Xu,et al.  Adaptive Output Feedback Control for Nonlinear Time-Delay Systems by Fuzzy Approximation Approach , 2013, IEEE Transactions on Fuzzy Systems.

[19]  Ebrahim H. Mamdani,et al.  An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Hum. Comput. Stud..

[20]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[21]  W. M. Stewart,et al.  The Contribution of Commercial Fertilizer Nutrients to Food Production , 2005 .

[22]  Yongbin Wang,et al.  The design of an optimal decision-making algorithm for fertilization , 2011, Math. Comput. Model..

[23]  Tao Pei,et al.  Construction of membership functions for predictive soil mapping under fuzzy logic , 2010 .

[24]  D G Krige,et al.  A statistical approach to some mine valuation and allied problems on the Witwatersrand , 2015 .

[25]  Siegfried Gottwald,et al.  Mathematical fuzzy logic as a tool for the treatment of vague information , 2005, Inf. Sci..

[26]  E. Carranza,et al.  Fuzzy modeling of farmers' knowledge for land suitability classification , 2005 .

[27]  Alex B. McBratney,et al.  An overview of pedometric techniques for use in soil survey , 2000 .

[28]  Lucien Duckstein,et al.  Risk Assessment and Fuzzy Logic as Related to Environmental Science , 2015 .

[29]  G. H. Holliday,et al.  Glossary of Soil Science Terms , 1965, Soil Science Society of America Journal.

[30]  Ronald R. Yager,et al.  Generalized OWA Aggregation Operators , 2004, Fuzzy Optim. Decis. Mak..

[31]  Oren Etzioni,et al.  Adaptive Web sites , 2000, CACM.

[32]  Shaocheng Tong,et al.  Adaptive Fuzzy Control via Observer Design for Uncertain Nonlinear Systems With Unmodeled Dynamics , 2013, IEEE Transactions on Fuzzy Systems.