Control Systems and Computers, N1, 2019, Article 9

Upr. sist. maš., 2019, Issue 1 (279), pp. 88-94.

UDC 004.942

Igor V. Surovtsev, Dr (Eng.), Senior Researcher,
Department of ecological digital systems, ,

Oleg V. Babak, PhD (Eng.), Senior Researcher,, 

International Research and Training Centre of Information Technologies and Systems of the NAS and MES of Ukraine, Glushkov av., 40, Kiev, 03187, Ukraine

Classification of Soil Plots Pollution with Heavy Metals by the Results of a Computer

 Introduction. At the present stage of the precision technologies development in crop production, the precision farming begins to play a significant role. This progressive direction in the agriculture development is associated with the methods and means of information support, including the procedures for obtaining and interpreting from the ground-based sensing, as well as remote sensing the Earth. Currently, particular concern is the increase in environmental pollution by heavy metals. Specified circumstance necessitates ground-based sensing of soil plots polluted with heavy metals, which requires the solution of the problem of their classification.

Purpose. The purpose of this article is to develop a principle for classifying the results of the heavy metals concentration measuring on the sections of the studied soil pollution area, as well as an approach to the formal assessment of these results, using a computer experiment.

Methods. An algorithm for solving the classification problem based onpresenting a sample of data as one class divided into two subclasses is developed.

Results. The effectiveness of the approach and the algorithm for solving the problem of classification of soil pollution with heavy metals is confirmed by a computer experiment.

Conclusion. The proposed approach and the algorithm for solving the problem of classifying the plots soil polluted with heavy metals can be used for ground-based sensing of the soil area.

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Keywords: precise farming, heavy metals, classification, polluted plots of soil.

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Received 23.03.2019