Features of growth of agricultural crops and factors negatively affecting their growth
Yessenova M. Abdikerimova G. Sadirmekova Z.B. Glazyrina N. Adikanova S. Tanirbergenov A. Karipola M. Mukhamedrakhimova G.
April 2023Institute of Advanced Engineering and Science
Indonesian Journal of Electrical Engineering and Computer Science
2023#30Issue 1625 - 632 pp.
This article is about methods of analyzing aerial images. Images from Planet.com for crops in North Kazakhstan owned by the Center for Cereal Production and Research. A.I. Barayev. The main goal of the research work is to develop and implement algorithms that allow identifying and distinguishing factors in aerial photographs that adversely affect the growth of plants during the growing season. Spectral brightness coefficient (SBC), normalized difference vegetation index (NDVI), textural features, clustering, and integral transformations are used to solve the problem. Particular attention has been paid to the development of software tools for selecting features that describe textural differences to divide texture regions into subregions. That is weeds, and pests in aerial images. The application of a set of textural features and orthogonal transformations to the analysis of experimental data is explored to identify regions of potentially correlated features in the future. The analysis of the received data made it possible to determine the characteristics of changes in the reflective capacity of agricultural plants and weeds in certain stages of the growing season. The obtained information is of great importance for confirming the observations from space remote from the aerial images.
Clustering , Image processing , Integral transformation , Spectral brightness coefficient , Textural features , Vegetation index
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Department of Information Systems, L. N. Gumilyov Eurasian National University, Nur-Sultan, Kazakhstan
Department of Information Systems, Taraz Regional University named after M. Kh. Dulaty, Taraz, Kazakhstan
Department of Computer and Software Engineering, L. N. Gumilyov Eurasian National University, Nur-Sultan, Kazakhstan
Higher School of IT and Natural Sciences, Sarsen Amanzholov East Kazakhstan University, Ust-Kamenogorsk, Kazakhstan
Department of Algebra and Geometry, L. N. Gumilyov Eurasian National University, Nur-Sultan, Kazakhstan
Department of Radio Engineering, Electronics, and Telecommunications, L. N. Gumilyov Eurasian National University, Nur-Sultan, Kazakhstan
Department of Radio Engineering, Electronics, and Telecommunications, S. S. Seifullin Agrotechnical University, Nur-Sultan, Kazakhstan
Department of Information Systems
Department of Information Systems
Department of Computer and Software Engineering
Higher School of IT and Natural Sciences
Department of Algebra and Geometry
Department of Radio Engineering
Department of Radio Engineering
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