18 documents found, page 1 of 2
Optimizing Olive Disease Classification Through Hybrid Machine Learning and Dee...
Mendes, João; Moso, Juliet; Berger, Guido; Lima, José; Costa, Lino; Guessoum, Zahia; Pereira, Ana I.Olive trees play a crucial role in the global agricultural landscape, serving as a primary source of olive oil production. However, olive trees are susceptible to several diseases, which can significantly impact yield and quality. This study addresses the challenge of improving the diagnosis of diseases in olive trees, specifically focusing on aculus olearius and Olive Peacock Spot diseases. Using a novel hybri...
Pest Management in Olive Cultivation Through Computer Vision: A Comparative Stu...
Mendes, João; Berger, Guido; Lima, José; Costa, Lino; Pereira, Ana I.This study compares two computer vision methods to detect yellow sticky traps using unmanned autonomous vehicles in olive tree cultivation. The traps aim to combat and monitor the density of the Bactrocera oleae, an important pest that damages olive fruit, leading to substantial economic losses annually. The evaluation encompassed two distinct methods: firstly, an algorithm employing conventional segmentation t...
Design and Development of an Omnidirectional Mecanum Platform for the RobotAtFa...
Braun, João; Baidi, Kaïs; Bonzatto, Luciano; Berger, Guido; Pinto, Milena F.; Kalbermatter, Rebeca B.; Klein, Luan C.; Grilo, Vinicius F.S.B.Robotics competitions are highly strategic tools to engage and motivate students, cultivating their curiosity and enthusiasm for technology and robotics. These competitions encompass various disciplines, such as programming, electronics, control systems, and prototyping, often beginning with developing a mobile platform. This paper focuses on designing and implementing an omnidirectional mecanum platform, encom...
Using LiDAR Data as Image for AI to Recognize Objects in the Mobile Robot Opera...
Nowakowski, Marek; Kurylo, Jakub; Braun, João; Berger, Guido; Mendes, João; Lima, JoséNowadays, there has been a growing interest in the use of mobile robots for various applications,where the analysis of the operational environment is a crucial component to conduct our special tasks ormissions. Themain aimof thiswork was to implement artificial intelligence (AI) for object detection and distance estimation navigating the developed unmanned platform in unknown environments. Conventional approach...
A YOLO-Based Insect Detection: Potential Use of Small Multirotor Unmanned Aeria...
Berger, Guido; Mendes, João; Chellal, Arezki Abderrahim; Junior, Luciano Bonzatto; Silva, Yago M.R.; Zorawski, Matheus; Pereira, Ana I.This paper presents an approach to address the challenges of manual inspection using multirotor Unmanned Aerial Vehicles (UAV) to detect olive tree flies (Bactrocera oleae). The study employs computer vision techniques based on the You Only Look Once (YOLO) algorithm to detect insects trapped in yellow chromotropic traps. Therefore, this research evaluates the performance of the YOLOv7 algorithmin detecting and...
A Comparison of Fiducial Markers Pose Estimation for UAVs Indoor Precision Landing
Junior, Luciano Bonzatto; Berger, Guido; Oliveira Júnior, Alexandre de; Braun, João; Wehrmeister, Marco A.; Pinto, Milena F.; Lima, JoséCooperative robotics is exponentially gaining strength in scientific research, especially regarding the cooperation between ground mobile robots and Unmanned Aerial Vehicles (UAVs), where the remaining challenges are equipollent to its potential uses in different fields, such as agriculture and electrical tower inspections. Due to the complexity involved in the process, precision landing by UAVs onmoving roboti...
Development of a Platform with 2 DoF to Assist the Cooperation Between Grounded...
Kaneda, Emerson Kazuyoshi; Berger, Guido; Pinto, Vítor H.; Pinto, Milena F.; Ferreira, Murilo; Rossini, Flávio Luiz; Lima, JoséThis paper presents the design and implementation of a two degrees of freedom (2 DoF) self-stabilizer platform based on a bidirectional type, intended to integrate with mobile robots to assist unmanned aerial vehicle (UAV) land operations in irregular grounds with a focus on outdoor environments operations. A study on the kinematics behavior of the bidirectional platform is addressed to improve decisions about ...
Adaptive path planning for fusing rapidly exploring random trees and deep reinf...
Castro, Gabriel G.R.; Berger, Guido; Cantieri, Álvaro R.; Teixeira, Marco; Lima, José; Pereira, Ana I.; Pinto, Milena F.Unmanned aerial vehicles (UAV) are a suitable solution for monitoring growing cultures due to the possibility of covering a large area and the necessity of periodic monitoring. In inspection and monitoring tasks, the UAV must find an optimal or near-optimal collision-free route given initial and target positions. In this sense, path-planning strategies are crucial, especially online path planning that can repre...
Cooperative heterogeneous robots for autonomous insects trap monitoring system ...
Berger, Guido; Teixeira, Marco; Cantieri, Álvaro R.; Lima, José; Pereira, Ana I.; Valente, António; Castro, Gabriel G.R.; Pinto, Milena F.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 rob...
Sensorial testbed for high-voltage tower inspection with UAVs
Berger, Guido; Oliveira Júnior, Alexandre de; Braun, João; Lima, José; Pinto, Milena F.; Valente, António; Pereira, Ana I.; Cantieri, Álvaro R.This work presents a methodology for characterizing ultrasonic and LASER sensors aimed at detecting obstacles within the context of electrical inspections by multirotor Unmanned Aerial Vehicles (UAVs). A set of four ultrasonic and LASER sensor models is evaluated against eight target components, typically found in high-voltage towers. The results show that ultrasonic sensor arrays displaced 25 ∘ apart reduce th...