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...

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 presents the multi-agent approach for developing cyber-physical system managing precise farms with digital twins of plants. It discusses complexity problem caused by a priori incompleteness knowledge about factors plant growth and development, high uncertainty crops cultivation, variety weather, business technical requirements, etc. proposes bases technology in combination machine learning methods designing considered systems. Digital twin is specified as an agent based on ontology...

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 describes main features of an Intelligent Scheduler for Road Transportation Applications based on Magenta agent technology and characterized by a number unique, advanced such as real-time, incremental, continuous scheduling schedule improvement, scalability from small to very large enterprise networks, multi-criteria analysis rich decision support the user, pro-active negotiations.The scheduler is event driven, which means that it construct schedules taking into account occurrence...

This paper discusses the methodology for development of a strategic planning tool, and particularly architectural solution to be adopted, within an integrated ICT improvement scheduling systems manufacturing small production lots complex products. After analysis different possible solutions, proposes hybrid that combines existing solvers with multi-agent system principles. The proposed approach introduces several benefits, namely in terms flexibility, robustness, achievement exploratory...

We introduce MAGENTA'S commercial multi-agent systems technology, and illustrate its practical use by describing a field-tested application in the area of logistics/scheduling. MAGENTA technology provides two integrated toolsets for building industrial-strength systems: Ontology Management Toolkit (which enables designers to capture concepts interrelationships between an application), Virtual Marketplace Engine (the platform supporting agent interaction technology); addition, run-time...

Digital twins of complex technical objects are widely applied for various domains, rapidly becoming smart, cognitive and autonomous. However, the problem digital autonomous management enterprise resources is still not fully researched. In this paper, an twin introduced to provide knowledge-based multi-agent adaptive allocation, scheduling, optimization, monitoring control tasks in real time, synchronized with employees’ plans, preferences competencies via mobile devices. The main...