Authors:
Petr Skobelev
;
Vitaly Travin
;
Elena Simonova
;
Dmitry Mishutin
;
Vladimir Galuzin
and
Anastasiya Galitskaya
Affiliation:
Samara National Research University, Samara and Russia
Keyword(s):
Satellite, Ground Station, Earth Remote Sensing, Multi-agent Technology, Multi-agent System, Target Planning, Precision Agriculture.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Distributed and Mobile Software Systems
;
Distributed Problem Solving
;
Enterprise Information Systems
;
Formal Methods
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Planning and Scheduling
;
Simulation and Modeling
;
Software Engineering
;
Symbolic Systems
;
Task Planning and Execution
Abstract:
The paper considers the task of constructing a schedule for target application of space remote sensing systems for solving problems of precision farming. It also proposes a method of their solution using multi-agent technology. Presented models and algorithms allow for solving the urgent problem of network interaction between heterogeneous spacecraft group devices for implementation of enlarged and detailed territory surveys, as well as adaptive planning of user requests for shooting. Results of experiments demonstrate higher efficiency of the developed algorithms on large-scale problems in comparison with methods of traditional centralized planning.