CLUSTER ANALYSIS IN AGRICULTURAL DECISION SUPPORT SYSTEMS DEVELOPMENT
Journal Title: Вісник Національного Авіаційного Університету - Year 2016, Vol 68, Issue 3
Abstract
Purpose: With the development of unmanned aircraft technol ogy raises the problem of creation systems of aerial data analysis to increase efficiency and reduce th e cost of monitoring areas based on operational data and building automated systems of farm management combined with precision farming techniques. Methods: The review of the current state of agriculture and the development of unmanned aircraft, the use of information technologies in Ukraine compared to mo re developed countries made. The modern approach to imaging and conducted own research of the possibiliti es of image processing system based on cluster analysis. Results: Shown that the level of integration of inform ation technology in Ukraine is quite low, in contrast to other developed countries, where there is active development of geographic information systems, including for agricultural purposes. Unmanned aerial veh icles developed in Ukraine, as evidenced by the development of the legal sphere and the presentation of definition of the category. Image processing based on cluster analysis provides data suitable for further anal ysis and give an idea of the structure of the area, the presence of abnormalities and the general condition of farmland. Discussion: Cluster analysis of digital images of agricultural areas is a promising area of further research that could be the basis for building complex decision support systems for the development of precision farming including in Ukraine and increase the efficiency of farming, as well as an additio nal tool for determining the state of the areas for evaluation and prognostication.
Authors and Affiliations
Viktor Kurochkin
Keywords
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- EP ID EP461405
- DOI 10.18372/2306-1472.68.10910
- Views 135
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