Cooperative Heterogeneous Robots for Autonomous Insects Trap Monitoring System in a Precision Agriculture Scenario

Guido S. Berger (), Marco Teixeira, Alvaro Cantieri, José Lima, Ana I. Pereira, António Valente, Gabriel G. R. de Castro and Milena F. Pinto
Additional contact information
Guido S. Berger: Research Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
Marco Teixeira: Coordenação do Curso de Engenharia de Software, COENS, Universidade Tecnológica Federal do Paraná—UTFPR, Dois Vizinhos 85660-000, Brazil
Alvaro Cantieri: Applied Robotics and Computation Laboratory—LaRCA, Federal Institute of Paraná, Pinhais 3100, Brazil
José Lima: Research Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
Ana I. Pereira: Research Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
António Valente: Engineering Department, School of Sciences and Technology, Universidade de Trás-os-Montes e Alto Douro (UTAD), 5000-801 Vila Real, Portugal
Gabriel G. R. de Castro: Department of Electronics Engineering, Federal Center of Technological Education of Celso Suckow da Fonseca (CEFET/RJ), Rio de Janeiro 20271-204, Brazil
Milena F. Pinto: Department of Electronics Engineering, Federal Center of Technological Education of Celso Suckow da Fonseca (CEFET/RJ), Rio de Janeiro 20271-204, Brazil

Agriculture, 2023, vol. 13, issue 2, 1-26

Abstract: 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.

Keywords: precision agriculture; heretogenous robotic systems; cooperative robots (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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