Improving image contrast: Challenges and solutions

Fazilov, Shavkat; Urinov, Elmurod; Kakharov, Shukrullo; Khashimov, Akhmad

doi:10.1109/icisct52966.2021.9670106

Cited by 8 publications

(3 citation statements)

References 8 publications

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“…At that, a particular attention is paid to the modeling of various subsystems in the automation of the agricultural sector. These problems are well studied in various branches of science and technology: in modeling in geomechanics [11][12][13], in solving problems of pattern recognition [14][15][16][17][18] and classification [19,20], medicine [21], in tracking objects based on a Kalman filter [22], modeling of personal identification processes [23], creating a model of an access control system [24], creating models to improve image contrast [25], when modeling predictive indicators [26] and in sports research [27], as well as in hydromechanics [29,29]. In our case, for modeling and automatic control of the agricultural sector, the PHP programming language and the MySQL database, as well as various methods of data mining [30,31], were used.…”

Section: Resultsmentioning

confidence: 99%

Automation of the Agricultural Sector of the Republic of Uzbekistan

et al. 2023

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In the agricultural sector of the Republic of Uzbekistan, a tendency to automate production and business processes can be seen. Agriculture automation helps to significantly reduce the amount of manual labour, while increasing work efficiency. It is possible to single out the following practical advantages of introducing automation in the agricultural sector: it becomes possible to manage production, technological and business operations in an optimized and effortless manner; the competitiveness of the goods is growing through improving the quality and reducing the cost; the productivity of agricultural enterprises increases; cost minimization leads to a drop in the cost price of manufacture of products, and a manufacturing organization can offer the products at a price, which is affordable for the buyer and at the same time profitable for the manufacturing organization. The use of modern technologies for the ‘intellectualization’ of agriculture makes it possible to preserve and restore the beneficial properties of groundwater and soil; to provide environmentally safe and effective pest control; to remotely monitor compliance with the certification requirements of organic agriculture. It is necessary to automate not only production, but also business processes in the agricultural sector. The main goal is to increase the productivity of enterprises, minimize the number of errors associated with the ‘human factor,’ and reduce the amount of ‘manual labour’. The article substantiates a systematic approach to the formation of the information space of an agricultural enterprise, taking into account the needs of all participants in process management, the choice of a software and hardware platform and methods for automating the software development process.

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Section: Resultsmentioning

confidence: 99%

Automation of the Agricultural Sector of the Republic of Uzbekistan

et al. 2023

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“…An analysis of scientific sources on pattern recognition, in particular [7][8][9][10][11][12][13][14][15][16][17][18][19][20]32], shows that by now a number of recognition models have been created and rather well studied. Among them, the following most common recognition models can be distinguished: models based on the use of the separation principle; models based on methods of mathematical statistics; models built on the basis of potential functions; models based on calculation of estimates, etc.…”

Section: Introductionmentioning

confidence: 99%

Algorithms for plant disease diagnostics by leaf image

Mirzaev,

Radjabov,

Nurmukhamedov

et al. 2024

BIO Web Conf.

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This article discusses the task of detecting diseases of cultivated plants. When determining the phytosanitary status of cultivated plants, images of their leaves are considered as initial data. To solve the problem under consideration, a model of diagnostic algorithms based on two-dimensional threshold functions is proposed. The main idea of the proposed algorithms is to form a set of preferred diagnostic features and make decisions aimed at making a diagnosis based on a comparison of these features. The classification stages of the diagnostic algorithm model are presented. An assessment of the applicability of the proposed model is demonstrated using the example of solving the problem of diagnosing wheat diseases by leaf images. Keywords: diagnostic algorithms, basic image slices, diagnostic features, preferred features, calculation of the overall score.

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“…The formation of a knowledge-based economy is the way to develop the information society, where the main focus is on the development of science, innovation, culture, the information industry and human capital [6]. Demand in market relations for information and information services has led to the fact that modern information processing technology is focused on the use of a wide range of technical means, computers, communications, as well as methods of data analysis and processing [7][8][9][10][11][12][13][14][15][16][17][18][19]. Computing systems and networks of various configurations are created on their basis in order to accumulate, store, process information, bring terminal devices as close as possible to the workplace of a specialist or decision maker [20,21].…”

Section: Introductionmentioning

confidence: 99%

Information technologies in the agricultural economy

Makhmudova,

Ismailov,

Kodirova

et al. 2023

E3S Web Conf.

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This article discusses not only the practical application of “precision agriculture” in the software of electronic equipment, the convenience of remote control and on-board sensors for moving automatic parts of machines and units, as well as the acceleration of solving problems of managing the agro-industrial complex using electronic equipment, increase in the amount of funding, but also training personnel capable of creating and applying information technologies in agriculture, including in “precision agriculture.

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Improving image contrast: Challenges and solutions

Cited by 8 publications

References 8 publications

Automation of the Agricultural Sector of the Republic of Uzbekistan

Automation of the Agricultural Sector of the Republic of Uzbekistan

Algorithms for plant disease diagnostics by leaf image

Information technologies in the agricultural economy

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