Name
Title | ||
|---|---|---|
Multi-Agent Planning System For Target Application Of Earth Remote Sensing Space Systems For Solving Precision Farming Tasks |
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.5220/0007382706470654 | PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE (ICAART), VOL 2 |
Keywords | Field | DocType |
Satellite, Ground Station, Earth Remote Sensing, Multi-agent Technology, Multi-agent System, Target Planning, Precision Agriculture | Data mining,Satellite,Earth remote sensing,Computer science,Multi agent technology,Precision agriculture,Real-time computing,Multi-agent system,Multi-agent planning,Ground station,Spacecraft | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Petr Skobelev | 1 | 118 | 24.61 |
| Vitaly Travin | 2 | 0 | 0.34 |
| Elena Simonova | 3 | 0 | 3.72 |
| Dmitry Mishutin | 4 | 0 | 0.34 |
| Vladimir Galuzin | 5 | 0 | 0.34 |
| Anastasiya Galitskaya | 6 | 0 | 0.34 |