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• W2912673731 abstract "Autonomous systems are a promising alternative for safely executing precision farming activities in a 24/7 perspective. In this context Unmanned Ground Vehicles (UGVs) are used in custom agricultural fields, with sophisticated sensors and data fusion techniques for real-time mapping and navigation. The aim of this study is to present a simulation software tool for providing effective and efficient farming activities in orchard fields and demonstrating the applicability of simulation in routing algorithms, hence increasing productivity, while dynamically addressing operational and tactical level uncertainties. The three dimensional virtual world includes the field layout and the static objects (orchard trees, obstacles, physical boundaries) and is constructed in the open source Gazebo simulation software while the Robot Operating System (ROS) and the implemented algorithms are tested using a custom vehicle. As a result a routing algorithm is executed and enables the UGV to pass through all the orchard trees while dynamically avoiding static and dynamic obstacles. Unlike existing sophisticated tools, the developed mechanism could accommodate an extensive variety of agricultural activities and could be transparently transferred from the simulation environment to real world ROS compatible UGVs providing user-friendly and highly customizable navigation." @default.
• W2912673731 created "2019-02-21" @default.
• W2912673731 creator A5003527805 @default.
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• W2912673731 date "2019-01-01" @default.
• W2912673731 modified "2023-09-26" @default.
• W2912673731 title "Unmanned Ground Vehicles in Precision Farming Services: An Integrated Emulation Modelling Approach" @default.
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• W2912673731 doi "https://doi.org/10.1007/978-3-030-12998-9_13" @default.
• W2912673731 hasPublicationYear "2019" @default.
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