Cooperative Heterogeneous Robots for Autonomous Insects Trap Monitoring System in a Precision Agriculture Scenario
The recent advances in precision agriculture are due to the emergence of modern robotics systems. For instance, unmanned aerial systems (UASs) give new possibilities that advance the solution of existing problems in this area in many different aspects. The reason is due to these platforms’ ability t...
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| Format: | Article |
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MDPI AG
2023-01-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/13/2/239 |
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| author | Guido S. Berger Marco Teixeira Alvaro Cantieri José Lima Ana I. Pereira António Valente Gabriel G. R. de Castro Milena F. Pinto |
| author_facet | Guido S. Berger Marco Teixeira Alvaro Cantieri José Lima Ana I. Pereira António Valente Gabriel G. R. de Castro Milena F. Pinto |
| author_sort | Guido S. Berger |
| collection | DOAJ |
| description | The recent advances in precision agriculture are due to the emergence of modern robotics systems. For instance, unmanned aerial systems (UASs) give new possibilities that advance the solution of existing problems in this area in many different aspects. The reason is due to these platforms’ ability to perform activities at varying levels of complexity. Therefore, this research presents a multiple-cooperative robot solution for UAS and unmanned ground vehicle (UGV) systems for their joint inspection of olive grove inspect traps. This work evaluated the UAS and UGV vision-based navigation based on a yellow fly trap fixed in the trees to provide visual position data using the You Only Look Once (YOLO) algorithms. The experimental setup evaluated the fuzzy control algorithm applied to the UAS to make it reach the trap efficiently. Experimental tests were conducted in a realistic simulation environment using a robot operating system (ROS) and CoppeliaSim platforms to verify the methodology’s performance, and all tests considered specific real-world environmental conditions. A search and landing algorithm based on augmented reality tag (AR-Tag) visual processing was evaluated to allow for the return and landing of the UAS to the UGV base. The outcomes obtained in this work demonstrate the robustness and feasibility of the multiple-cooperative robot architecture for UGVs and UASs applied in the olive inspection scenario. |
| first_indexed | 2024-03-11T09:18:44Z |
| format | Article |
| id | doaj.art-30b95d701d2f42f8bc610cc17cf0e1b2 |
| institution | Directory Open Access Journal |
| issn | 2077-0472 |
| language | English |
| last_indexed | 2024-03-11T09:18:44Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj.art-30b95d701d2f42f8bc610cc17cf0e1b22023-11-16T18:28:14ZengMDPI AGAgriculture2077-04722023-01-0113223910.3390/agriculture13020239Cooperative Heterogeneous Robots for Autonomous Insects Trap Monitoring System in a Precision Agriculture ScenarioGuido S. Berger0Marco Teixeira1Alvaro Cantieri2José Lima3Ana I. Pereira4António Valente5Gabriel G. R. de Castro6Milena F. Pinto7Research Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, PortugalCoordenação do Curso de Engenharia de Software, COENS, Universidade Tecnológica Federal do Paraná—UTFPR, Dois Vizinhos 85660-000, BrazilApplied Robotics and Computation Laboratory—LaRCA, Federal Institute of Paraná, Pinhais 3100, BrazilResearch Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, PortugalResearch Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, PortugalEngineering Department, School of Sciences and Technology, Universidade de Trás-os-Montes e Alto Douro (UTAD), 5000-801 Vila Real, PortugalDepartment of Electronics Engineering, Federal Center of Technological Education of Celso Suckow da Fonseca (CEFET/RJ), Rio de Janeiro 20271-204, BrazilDepartment of Electronics Engineering, Federal Center of Technological Education of Celso Suckow da Fonseca (CEFET/RJ), Rio de Janeiro 20271-204, BrazilThe recent advances in precision agriculture are due to the emergence of modern robotics systems. For instance, unmanned aerial systems (UASs) give new possibilities that advance the solution of existing problems in this area in many different aspects. The reason is due to these platforms’ ability to perform activities at varying levels of complexity. Therefore, this research presents a multiple-cooperative robot solution for UAS and unmanned ground vehicle (UGV) systems for their joint inspection of olive grove inspect traps. This work evaluated the UAS and UGV vision-based navigation based on a yellow fly trap fixed in the trees to provide visual position data using the You Only Look Once (YOLO) algorithms. The experimental setup evaluated the fuzzy control algorithm applied to the UAS to make it reach the trap efficiently. Experimental tests were conducted in a realistic simulation environment using a robot operating system (ROS) and CoppeliaSim platforms to verify the methodology’s performance, and all tests considered specific real-world environmental conditions. A search and landing algorithm based on augmented reality tag (AR-Tag) visual processing was evaluated to allow for the return and landing of the UAS to the UGV base. The outcomes obtained in this work demonstrate the robustness and feasibility of the multiple-cooperative robot architecture for UGVs and UASs applied in the olive inspection scenario.https://www.mdpi.com/2077-0472/13/2/239precision agricultureheretogenous robotic systemscooperative robots |
| spellingShingle | Guido S. Berger Marco Teixeira Alvaro Cantieri José Lima Ana I. Pereira António Valente Gabriel G. R. de Castro Milena F. Pinto Cooperative Heterogeneous Robots for Autonomous Insects Trap Monitoring System in a Precision Agriculture Scenario Agriculture precision agriculture heretogenous robotic systems cooperative robots |
| title | Cooperative Heterogeneous Robots for Autonomous Insects Trap Monitoring System in a Precision Agriculture Scenario |
| title_full | Cooperative Heterogeneous Robots for Autonomous Insects Trap Monitoring System in a Precision Agriculture Scenario |
| title_fullStr | Cooperative Heterogeneous Robots for Autonomous Insects Trap Monitoring System in a Precision Agriculture Scenario |
| title_full_unstemmed | Cooperative Heterogeneous Robots for Autonomous Insects Trap Monitoring System in a Precision Agriculture Scenario |
| title_short | Cooperative Heterogeneous Robots for Autonomous Insects Trap Monitoring System in a Precision Agriculture Scenario |
| title_sort | cooperative heterogeneous robots for autonomous insects trap monitoring system in a precision agriculture scenario |
| topic | precision agriculture heretogenous robotic systems cooperative robots |
| url | https://www.mdpi.com/2077-0472/13/2/239 |
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