Dmitry Kurtener

Evaluation of Agricultural Land Suitability: Application of Fuzzy Indicators

The problem of evaluation of agricultural land suitability is considered as a fuzzy modeling task. For assessment of land suitability, it is proposed to use fuzzy indicators. Application of individual fuzzy indicators gives opportunity for assessment of suitability of lands as degree or grade of performance when the lands are used for agricultural purposes. Using composite fuzzy indicator it is possible to obtain weighted average estimation of land suitability. This theoretical technique is illustrated with a simple example.

A GIS methodological framework based on fuzzy sets theory for land use management

This paper considers a GIS methodological framework based on fuzzy sets theory for land use management. Some principles of development of the GIS methodological framework are formulated. Applications of the GIS methodological framework are designed. In particular GIS knowledge management fuzzy models for analysis of soil commutative contamination by heavy metals, for the study of soil acidity, and for evaluation of soil conservation actions are obtained.

Evaluation of Ecological Conditions Using Bioindicators: Application of Fuzzy Modeling

Exploring biological indicators as tool for evaluation of ecological conditions is one of prime interest for planning process. The focus of this paper is biological indicator based on seed characteristics and defined with the use of fuzzy sets methodology. It is considered application of fuzzy biological indicators in combination with the minimum average weighted deviation method. Finally, Adaptive Neuro-Fuzzy Inference System is utilized for categorization of biological indicators.

Fuzzy Algorithms to Support Spatial Planning

It is argued that the process of application offuzzy set theory is very useful in supporting the process of decision-making in spatial planning. Combining a Geographical Information System (GIS) with applications offuzzy set theory is an appropriate methodology to support location choice and land suitability assessment. In this chapter, GIS Fuzzy Modelling (GISFM) is described and some models are defined. Some examples of the application of GISFM as a planning support tool for the analysis of environmental situations are presented.

Evaluation of Current State of Agricultural Land Using Problem-Oriented Fuzzy Indicators in GIS Environment

Current state of agricultural lands is defined under influence of processes in soil, plants and atmosphere and is described by observation data, complicated models and subjective opinion of experts. Problem-oriented indicators summarize this information in useful form for decision of the same specific problems. In this paper, three groups of problem-oriented indicators are described. The first group is devoted to evaluate agricultural lands with winter crops. Second group of indicators oriented for evaluation of soil disturbance. The third group of indicators oriented for evaluation of the effectiveness of soil amendments. For illustration of the methodology, a small computation was made and outputs are integrated in Geographic Information System.

Evaluation of Tillage Systems for Grain Sorghum and Wheat Yields and Total Nitrogen Uptake in the Texas Blackland Prairie

Recently, there has been an increased interest in cropping systems such as conservation-tillage; however, determining the best alternative between cropping system options is often complicated by disparities in research results due to seasonal variability. The economic cost of the systems further complicates the determination of the best alternative for sustainable crop production. To evaluate tillage systems using experimental data, a computer simulation approach called fuzzy multi-attributive decision-making (MAMD) can be applied. In this study, MAMD was applied to research the impact of conservation tillage and conventional tillage systems with and without raised wide beds on yield and nitrogen (N) uptake in grain sorghum and wheat for soils of the Texas Blackland Prairie. Results of yield and N uptake data for 4 years (1994–1997) indicated that the various tillage systems had merits and demerits across the different years of study. The economic conditions of the cropping systems were also utilized in the evaluation. Utilization of this technique indicated that the no-tillage cropping system with wide beds was the best tillage system of the ones evaluated.