Increasing the efficiency of agricultural production is a very important task. To solve this problem, it proposed to use "Smart Farming" cloud system for precision farming management. The novelty approach lies in using knowledge base and multi-agent technology develop coordinated decisions on management enterprises. paper focuses development agriculture. Information storage organized form semantic network concepts relations "All about concept" principle single repository, which facilitates...

There are many technologies to implement sand control in sand-prone wells, drilled either weakly or nonconsolidated sandstones. Technologies that used prevent sanding can be divided into the following groups: screens (wire-wrapped screens, slotted liners, premium and mesh screens), gravel packs, chemical consolidation, technological ways (oriented perforation bottomhole pressure limitation) of prevention. Each particular technology these groups has their own design construction features....

Abstract The paper discusses creation of a digital twin (DT) plant for an intelligent cyber-physical system managing precision farming. A new approach to formalization DT knowledge is proposed form expert within the subject area based on ontological specification stages growth and development multi-agent technology creating stage agents coordinated dynamic recalculation duration yield forecast events in environment. proposes method calculating knowledge. “tube” model range changes parameters...

The paper studies the problem of scheduling a group Earth remote sensing satellites. following idea is proved: development systems needs changing approach to planning their application. Problem statement described. As criteria efficiency, information delivery time, resolution and cost request execution are used. schedule has comply with constraints: visibility between satellites, observation areas data receiving points, storage capacity memory unit as well coordination operations on...

The paper proposes a multi-agent approach to development of "digital twins" plants, which reflects phases plant and allows for more accurate forecasting harvest planning agrotechnical measures. It also shows the possibility formalize domain knowledge on new agro technologies growing automate decision-making processes when introducing precision farming technologies. A formalized model digital twin plants is proposed in form state machine, acting basis graph transitions between development....

The paper is devoted to development of a digital twin (DT) plant. It built as smart system based on the knowledge base macrostages plant and multiagent technology that allows for detailed monitoring control development, recalculation forecast, namely, assessment vegetation quality, future yield timing onset next stages. uses transition rules between stages upon receipt data from agronomists state well actual forecast weather data. proposes conceptual model ontologies multi-agent technology,...

The paper describes intelligent system “Smart Factory” which is designed to increase factory productivity and efficiency of resources utilization in real time (including equipment, manpower, materials, etc.). objectives key areas application are considered it shown that provides flexible event-driven reaction on changes environment, resource allocation, scheduling, optimization controlling time. developed method adaptive main functionality examples screens discussed. results implementation...

The paper presents precise agriculture as a complex adaptive system with high level of uncertainty and dynamics, in which knowledge is forming experimentally very enterprise-specific way.Is there any opportunity to learn the best practices from advanced farmers, transfer their support everyday decision making for regular farmers?The concept Smart Farming an augmented AI solution proposed.The designed digital eco-system (system systems) smart services, where each service, its turn, autonomous...

The paper is devoted to an overview of multi-agent principles, methods, and technologies intended adaptive real-time data clustering. proposed methods provide new principles self-organization records clusters, represented by software agents, making it possible increase the adaptability different clustering processes significantly. also presents a comparative review results recently developed in this area their industrial applications. An ability items clusters suggests perspective form...

In recent years, the interest for space missions involving multiple satellites has been rapidly growing.This trend is responsible an increasing need management strategies able to coordinate different and allocate tasks among them.In most existing systems, of a cluster organized centrally statically, which significantly reduces responsiveness changes in target environment.Our research aims at designing distributed dynamic system where are assigned whole constellation their performers can...

Abstract Multi-agent technologies application for adaptive planning of communication sessions establishment requests with nanosatellites in the ground stations network response to arising events, considering constraints, is considered. Mathematical problem statement scheduling given. Method coupled interactions extension based on demand-resource networks model operative allocation between and implementation described.

In this paper a ready-to-use software component, which simulates real state of rice crop in the field and called "Digital Twin rice" (DT), is studied. DT uses ontology-based knowledge base plant cultivation to execute rules growth. The provides real-time data collection from fields distributed decision making find optimum solution planning process growth stages. Rice developed as an autonomous service can be integrated any existing digital agricultural platform. A pilot integration with...

The paper discusses development of the smart digital twin plant (SDTP) as an intelligent cyber-physical system that includes open knowledge base and a multi-agent subsystem for planning discrete-event modeling growth development, well forecasting crop parameters based on agronomists, which can be supplemented with sensors management mechanisms. SDTP functions should provide continuous adaptive adjustment plan each specific field, depending changes in external conditions, so discrepancy...

The paper discusses development of a smart digital twin plants (DTP) based on the principles emergent intelligence. described methodology is part approach proposed by authors earlier. It proposes implementation DTP as multilevel complex adaptive system with use ontologies and multi-agent technologies. Models for interaction between agents plant parts subsystems can provide more accurate planning each stage growth. describes architecture prototype, well scenario an experiment it. Development...

The paper discusses the principles of developing a multi-agent digital twin plants using broccoli as an example plants. developed model must meet following requirements: real-time environmental data acquisition, user feedback collection, continuous adaptation plant development plan for each event, individual instance field or part. is designed intelligent cyber-physical system that has user-defined knowledge bas and planning modeling growth development, well forecasting crop parameters. For...

The growing demand for improving business efficiency requests the development of generic resource management systems applicable solving a wide range complex problems with minimum cost and time. However, classical combinatorial or heuristic methods tools do not provide adequate solutions in real That is why we consider multi-agent technology as core part such - which helps find balance many interests adapt it flexible way to unpredictable events, new order, an unavailable resource, etc. In...

Modern aerospace enterprises tend to utilize new advantages of networking organizations for increasing business efficiency.In practice, it requires introduction a type project management stimulating the self-organization and active interaction between actors in order make coordinated effective decisions on resource allocation, both within individual teams teams.In this paper, we propose concept describe multi-agent system 'Smart Projects' supporting decision-making maximize productivity...