Scientific Journal of KubSAU

The problems of crop management and management decision support are still relevant at the moment. Crop production is of strategic importance and is the basis of our country's food security. The use of information technology in agriculture was limited to the use of computers and software, mainly for managing financial transactions and maintaining accounting and operational accounting. It should be noted that the measures taken to increase labor productivity and automate technological processes in the agro-industrial complex did not have an integrated nature; therefore, they slightly influenced the efficiency of the industry and, as a result, the competitiveness of products. Thus, the development and implementation of a computerized decision support system in crop management based on mathematical models for analyzing and evaluating the economic efficiency of crop cultivation technologies, crop rotation rationalization models, data analysis models of the book on crop field history, optimal selection of plant protection products and fertilizers highly relevant. This scientific project can be considered a priority and highly demanded, as contributing to the implementation of one of the requirements of the State program for the development of agriculture and regulation of the markets of agricultural products, raw materials and food of the Russian Federation for 2013-2020. The aim of the project is to improve the mathematical models and methods for managing technological processes at agricultural enterprises through the development and implementation of an integrated automated information system for crop management. The article is devoted to the theoretical substantiation and expediency of the practical implementation of the program module for solving the problem of planning and calculating the dosages of organic and mineral fertilizers in the field crop rotation of farms of the Krasnodar region, which is a part of the developed integrated automated plant management information system at agricultural enterprises

Production and processing of grains have formed a number of cereals-governmental sectors in the national economic system of the country, such as grain production, grain elevator industry, flour, cereals and mixed fodder production, which constitute the grain complex country. The significance and the role of the grain as a commodity in the state economy can not be overestimated. This product is totally liquid; it has a constant, steady demand at any time of the year, in any region. Ongoing measures to increase grain production and improve its implementation did not have a complex character, therefore, insignificant effect on the efficiency of the industry and the competitiveness of grain production. The shortage was covered by imports. According to the characteristics of management in agriculture, it should be especially emphasized that the lack of objective and timely information at all stages of crop production, and, as a consequence, the adoption of suboptimal management decisions, leads to the fact that labor and material resources increase substantially, the enterprise receives less profit , and sometimes incurs losses.When selecting cultivation technology for agricultural crops, an agronomist has a database of more than a hundred times-personal of alternative technologies for each crop. It is up to the decision-maker (DMP) to find specific criteria to select the most suitable (for the owners and the climatic zone) technology of cultivating for the culture. These circumstances explain the relevance of in-depth research of economic and mathematical models and methods of analysis and evaluation of the economic efficiency of technologies of cultivation agricultural crops. The article deals with the task of developing and implementing a specialized software package for the task of managing technological processes in crop production with the goal of improving the quality, efficiency and validity of management decisions

Car license plates recognition problem is one of the typical tasks of computer vision. Video surveillance software usually provides license plates recognition function. Meanwhile, there are many approaches to solve this problem, where template-based methods are the most common. Such methods providing predictable and short enough execution time, and little percent of mistakes. However, such methods are far less effective in case there is a need to recognize car’s license plate, which may be located in unpredictable place, typed in undefined font and on non-standard background, or without strict formatting. For example, USA car license plates. One of the methods to increase effectiveness and quality of such license plates recognition is to use neural networks. It is assumed, that neural networks usage can significantly increase recognition quality. Nevertheless, neural networks usage entails difficulties of it’s training, and often becomes less efficient as template-based methods usage. This article discusses probability of usage of convolutional neural network, which was trained using MNIST (Mixed National Institute of Standards and Technology) database. This article is a review of usage of templates and neural networks for car’s license plate recognition in terms of quality, performance and complexity of the usage

Production and processing of grains formed in the national economic system of the country a number of cereals-governmental sectors, such as grain production, grain elevator industry, flour, cereals and mixed fodder production, which constitute the grain complex country. The significance and role of the grain as a commodity in the state economy can not be overestimated. This product is totally liquid, which has a constant, steady demand at any time of the year, in any region. Ongoing measures to increase grain production and improve its implementation did not have a complex character, therefore, insignificant effect on the efficiency of the industry and the competitiveness of grain production. The shortage was covered by imports. According to the characteristics of management in agriculture, it should be emphasized that the absence of objective and timely information at all stages of production of the plant-breeding, and as a result, non-optimal choice of technology of cultivation of agricultural crops, might result in the fact that the cost of labor and material resources increases significantly, the company does not receive profits, and sometimes suffers losses. When selecting cultivation technology for agricultural crops, an agronomist has a database of more than a hundred times-personal of alternative technologies for each crop. It is up to the decision-maker (DMP) to find specific criteria to select the most suitable (for the owners and the climatic zone) technology of cultivating for the culture. These circumstances explain the relevance of in-depth research of economic and mathematical models and methods of analysis and evaluation of the economic efficiency of technologies of cultivation agricultural crops. The article deals with the process of developing a complex of mathematical models and methods for evaluating alternative technologies for agricultural production (using the example of crop production), their software implementation, and the main scientific results of the project

The problems of automated control of the technological processes of crop production and the tasks of supporting the adoption of managerial decisions at each stage of the production cycle have become even more urgent in view of the processes of transformation, globalization and digitalization of the economy, which have recently become widespread. The agricultural sector of the economy of the Russian Federation is no exception, because agricultural products, especially crop production, are of strategic importance and are the basis of food security in our country. In this scientific project, the problems of agricultural enterprises of the Krasnodar region, in particular, in the field of management processes, its information and software, were investigated. At this stage, it was determined that the measures taken to increase labor productivity at the agricultural enterprises of the Krasnodar region and the automation of technological processes in crop production were not complex, therefore, they had a slight effect on the efficiency of the industry. Studying the IT services and software market made it possible to draw a well-founded conclusion that decision-making support processes in crop management, especially issues related to the justified choice of crop cultivation technology, rationalization of a crop rotation system, analysis of a history book of crop rotation fields, calculation of dosages of organic fertilizers for a deficit-free balance of humus, are not covered by the funds of software systems offered on the market. As a result, the demand for industrial analytical systems and, in particular, integrated automation systems for managing crop production processes for agricultural enterprises is forming in the software market. Therefore, the development and implementation of a computer decision support system for managing crop production processes, based on mathematical models for analyzing and evaluating the economic efficiency of crop cultivation technologies, crop rotation rationalization models, data analysis models for crop rotation field history books, models of optimal selection of crop protection products plants and fertilizers has become very relevant. These studies can be considered priority and highly demanded, as they are directly related to one of the fundamental directions of the modern development of agricultural production - the study of the problems of development and implementation of an integrated automated information system for crop management. The article is devoted to the theoretical justification and feasibility of the practical implementation of the software module for accounting and analysis of data from the e-book of the history of crop rotation fields, which is part of the developed automated crop management information system