scholarly journals Information technology as a basis of creating “smart” agricultural machinery

2019 ◽  
pp. 171-174
Author(s):  
Mironenko, V.
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Agricultural Production ◽  
Crop Production ◽  
Information Technologies ◽  
Intelligent Machines ◽  
Core Technology ◽  
Phase Condition ◽  
Technological Level ◽  
Working Bodies

Purpose. Formalize requirements to information systems “smart” machines to increase efficiency of agro industrial production. Methods. Analysis of the possibilities of improving the efficiency of agricultural production by building a hardware based control systems with elements of artificial intelligence. Synthesis of the systems of automatic control by technological processes of crop production on the basis of modern information technologies. Results. Components of the information “intelligent” machines in the plant. The core technology of information mining. Conclusions. Further development of the maintenance of agricultural production should be based on creating technology 5th technological level, which involves the saturation technique by means of information, computing and electronics for operational changes in modes of working bodies in order to achieve the optimum phase condition of the object being processed. Keywords: operations systems of adaptive management, artificial intelligence, information technology.

scholarly journals Formation of Technological Cognitive Reason with Artificial Intelligence in Virtual Space

2020 ◽  
Vol 2 (2) ◽  
pp. 450-461
Author(s):  
Evgeniy Bryndin
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Information Technologies ◽  
Virtual Space ◽  
Cognitive Robotics ◽  
Stage Of Development ◽  
Strong Artificial Intelligence ◽  
Digital Twins ◽  
Regenerative Development ◽  
Cognitive Robots

Reason is the basis of our knowledge. It characterizes the mindfulness of thought activity, the ability to think universally, the ability to analyze, abstract, and generalize. Thanks to reason, computers, information technology, artificial intelligence, digital twins, cognitive robots have emerged. Using advances in science and technology, the international scientific and engineering community is trying to create an information technology mind. At the current stage of development of information technologies, cognitive robotics, digital twins and artificial intelligence systems, their synergy allows to begin to form a rational cognitive mind with artificial intelligence in virtual space. A cognitive virtual mind with artificial intelligence can be formed by a cognitive ensemble of intelligent mobile diversified agents with strong artificial intelligence through the regenerative development of professional skills, enhancing them visual, sound, subject, spatial, and temporal sensitivity.

scholarly journals Prospects of Internet of things technologies in agricultural production

2021 ◽  
Author(s):  
I. F. Yurchenko ◽  
Keyword(s):  
Internet Of Things ◽  
Agricultural Production ◽  
Crop Production ◽  
Information Technologies ◽  
Agricultural Sector ◽  
Methodological Approach ◽  
The Internet ◽  
Industrial Complex ◽  
Innovative Solutions ◽  
The Internet Of Things

Purpose: to study, analyze and generalize the current state and prospects of IoT technologies in agricultural production, which allow making the right decisions, reducing risks and increasing the profitability of agricultural production based on the use of a unified information field, formed according to the data of all participants in the production process. Methods: as a basic methodological approach, the method of comparative analysis which made it possible to characterize the main approaches to the use of innovative technologies in the agricultural sector of the economy and determine the prospects for the development of unified scientifically grounded information systems integrated into the country's digital economy in agricultural production was used. Results. The analysis of the digitalization state of agricultural production and the Internet of Things market in domestic agriculture has been carried out, which revealed the need for their formation and development in accordance with the requirements of the departmental project “Digital Agriculture”. The main innovative solutions that characterize the concept of smart agriculture are presented, and the possibility of their application is established at the present time. The technical and technological equipment of agricultural production in the development, implementation and use of information technologies is characterized. The examples of innovative solutions, services and digitalization projects of agricultural production processes successfully implemented in the industry are given. The prospects and directions of using the Internet of Things technologies in the crop production system of the domestic agro-industrial complex are shown. The factors restraining the evolution of innovations of digitalization in agricultural production are determined. Conclusions. The planned introduction of IoT technologies will allow to reduce costs and production risks, as well as to increase labor productivity in agriculture in the Russian Federation by 2 times by 2024.

scholarly journals Manufacturing Gets Smart

2016 ◽  
Vol 138 (09) ◽  
pp. 34-39 ◽  
Author(s):  
Alan S. Brown
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Information Technologies ◽  
Manufacturing Industry ◽  
New Combination ◽  
Intelligent Software ◽  
Modern Information ◽  
Factory Floor

This article explores impact and advantages of information technology on manufacturing industry. Information technology on the factory floor promises a revolution in productivity. The industrial hype machine is among the favorites because of its full-on mashup of manufacturing with modern information technologies. There is use of intelligent software and machines to interact with one another (and with people) autonomously, both in the factory and through the cloud. According to the experts, this new combination of brains and muscle will revolutionize manufacturing in ways that rival the introduction of steam, electricity, and automation. It is foreseen that factory machines and logistics equipment would communicate with one another autonomously to assign and route jobs through the factory – and reroute them when unexpected problems arise. Cloud-based artificial intelligence would constantly compare parts and processes to optimize performance. As software gets better at communicating, ubiquitous sensors are adding more data to the mix.

scholarly journals Simulation and Prediction of Rainfall and Crop Yield in West Java Using ANFIS

2017 ◽  
Vol 13 (2) ◽  
pp. 83
Author(s):  
Ruminta Roem ◽  
Tati Nurmala
Keyword(s):  
Artificial Intelligence ◽  
Quantitative Analysis ◽  
Crop Yield ◽  
Agricultural Production ◽  
Alternative Model ◽  
Crop Production ◽  
Numerical Data ◽  
West Java ◽  
Study Results ◽  
The Future

Simulation of numerical data for prediction purposes is very important for the planning and anticipation of the future, for example, prediction data of rainfall and agricultural production. There are various models to simulate and forecast the numerical data, one of which is a artificial intelligence model using ANFIS. In this connection it has studied a simulation and prediction of rainfall and agricultural production in West Java using ANFIS. The study uses data of rainfall and crop production. The method of this study is descriptive explanatory which is a type of quantitative analysis. Numerical data were analyzed using ANFIS of the Software Matlab 8.0. The study results showed that ANFIS can simulate rainfall and crop yield with highly accurate and has the potential to be used as one of the alternative model to predict rainfall and crop yield in West Java

scholarly journals Simulation and Prediction of Rainfall and Crop Yield in West Java Using ANFIS

2017 ◽  
Vol 13 (2) ◽  
pp. 83
Author(s):  
Ruminta Roem ◽  
Tati Nurmala
Keyword(s):  
Artificial Intelligence ◽  
Quantitative Analysis ◽  
Crop Yield ◽  
Agricultural Production ◽  
Alternative Model ◽  
Crop Production ◽  
Numerical Data ◽  
West Java ◽  
Study Results ◽  
The Future

Simulation of numerical data for prediction purposes is very important for the planning and anticipation of the future, for example, prediction data of rainfall and agricultural production. There are various models to simulate and forecast the numerical data, one of which is a artificial intelligence model using ANFIS. In this connection it has studied a simulation and prediction of rainfall and agricultural production in West Java using ANFIS. The study uses data of rainfall and crop production. The method of this study is descriptive explanatory which is a type of quantitative analysis. Numerical data were analyzed using ANFIS of the Software Matlab 8.0. The study results showed that ANFIS can simulate rainfall and crop yield with highly accurate and has the potential to be used as one of the alternative model to predict rainfall and crop yield in West Java

CONTENT OF TEACHING THE ELEMENTS OF ARTIFICIAL INTELLIGENCE IN A SCHOOL INFORMATICS COURSE

2020 ◽  
pp. 3-10
Author(s):  
I. V. Levchenko
Keyword(s):  
Artificial Intelligence ◽  
General Education ◽  
Extracurricular Activities ◽  
Information Technologies ◽  
Learning Experience ◽  
9Th Grade ◽  
Modern Information ◽  
Further Development ◽  
Form Variant ◽  
Theoretical Foundations

The article considers the feasibility of integrating artificial intelligence technologies into school education and identifies a problem in identifying didactic elements in the field of artificial intelligence, which must be mastered in a school informatics course. The purpose of the article is to propose variant of the content of teaching the elements of artificial intelligence for the general education of schoolchildren as part of the curricular and extracurricular activities in informatics. An analysis of the psychological, pedagogical and scientific-methodical literature in the field of artificial intelligence made it possible to identify the appropriateness of teaching schoolchildren the elements of artificial intelligence in the framework of a comprehensive informatics course, as the theoretical foundations of modern information technologies. Summarizing and systematizing the learning experience of schoolchildren in the field of artificial intelligence made it possible to form variant of the content of teaching the elements of artificial intelligence, which can be implemented in a compulsory informatics course for 9th grade, as well as in elective classes. The results of the study are the theoretical basis for the further development of the components of the methodological system of teaching the elements of artificial intelligence in a school informatics course. The research materials may be useful to specialists in the field of teaching informatics and to informatics teachers.

DEVELOPING THE SCIENTIFIC MAGAZINE IN THE PERIOD OF THE FOURTH INDUSTRIAL REVOLUTION 4.0

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Nguyen Duy Dung
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Industrial Revolution ◽  
Scientific Journal ◽  
Publishing Research ◽  
The Other ◽  
High Tech ◽  
Fourth Industrial Revolution ◽  
Socio Economic Development ◽  
International Scientific Journal

Characteristics of the industrial revolution 4.0 is the wide application of high-tech achievements, especially information technology, digitalization, artificial intelligence, network connections for management to create sudden changes in socio-economic development of many countries. Therefore, to reach the high-tech time, many magazines in Vietnam have changed dramatically, striving to reach the international scientific journal system of ISI, Scopus. The publication of international standard scientific journal will meet the demand of publishing research results of local scientists, on the other hand contribute to strengthening exchange, cooperation, international integration in science and technology.

DEVELOPMENT OF PRINCIPLES FOR THE DESIGN OF COMPLEX TECHNICAL MEANS AND TECHNOLOGICAL PROCESSES OF CROP PRODUCTION

1970 ◽  
pp. 70-72
Author(s):  
D. N. Radnaev ◽  
Yu. А. Sergeev ◽  
А. А. Abiduev ◽  
S. V. Petunov
Keyword(s):  
Crop Production ◽  
Design Methodology ◽  
Systematic Approach ◽  
Optimal Solution ◽  
Agricultural Science ◽  
Complex Objects ◽  
Technological Processes ◽  
Methods Of Synthesis ◽  
Working Bodies ◽  
Projected Process

Currently, agricultural science and practice has a large amount of experimental data that need to be taken into account in the development of new technological processes and working bodies. Therefore, there is a need to design technical processes in order to identify their effectiveness. In this regard, the use of methods of synthesis of technological processes based on the characteristics of tillage, seeding and production system of the economy, in which it is necessary to implement the projected process. In the General statement of the problem, the design of technological processes is one of the complex problems with the following characteristic feature: lack of knowledge about the methods of designing technological processes, suitable for system - structural modeling and algorithmization of design processes. To overcome this incompleteness, a systematic approach is needed. The system approach proceeds from the fact that the specificity of complex objects and processes is not limited to the features of its constituent parts and elements, but lies in the nature of relationships and relationships between them. In this paper, the design methodology is based on the formulated fundamental assumptions and principles of the whole system of more specific statements, revealing the structure and content of design operations, the synthesis of the choice of solutions. The principles of technological compatibility and emergence suitable for system-structural analysis of complex technical means and technological processes, consisting of statements having a hierarchical structure, where the degree of detail of the goals from level to level increases, and the approval of the last level determines the direction of the search for the optimal solution to the problem.

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