International Journal of Electrical and Computer Engineering
Vol 13, No 2: April 2023

The effectiveness of methods and algorithms for detecting and isolating factors that negatively affect the growth of crops

Moldir Yessenova (L. N. Gumilyov Eurasian National University)
Gulzira Abdikerimova (L. N. Gumilyov Eurasian National University)
Talgatbek Ayazbaev (International Taraz Innovative Institute)
Gulden Murzabekova (S. Seifullin Кazakh Agrotechnical University)
Aisulu Ismailova (S. Seifullin Кazakh Agrotechnical University)
Zhanar Beldeubayeva (S. Seifullin Кazakh Agrotechnical University)
Aliya Ainagulova (S. Seifullin Кazakh Agrotechnical University)
Ayagoz Mukhanova (L. N. Gumilyov Eurasian National University)



Article Info

Publish Date
01 Apr 2023

Abstract

This article discusses a large number of textural features and integral transformations for the analysis of texture-type images. It also discusses the description and analysis of the features of applying existing methods for segmenting texture areas in images and determining the advantages and disadvantages of these methods and the problems that arise in the segmentation of texture areas in images. The purpose of the ongoing research is to use methods and determine the effectiveness of methods for the analysis of aerospace images, which are a combination of textural regions of natural origin and artificial objects. Currently, the automation of the processing of aerospace information, in particular images of the earth’s surface, remains an urgent task. The main goal is to develop models and methods for more efficient use of information technologies for the analysis of multispectral texture-type images in the developed algorithms. The article proposes a comprehensive approach to these issues, that is, the consideration of a large number of textural features by integral transformation to eventually create algorithms and programs applicable to solving a wide class of problems in agriculture. 

Copyrights © 2023






Journal Info

Abbrev

IJECE

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of ...