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        Chapter Robots in Agriculture: State of Art and Practical Experiences

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        Author(s)
        Jesús Roldán, Juan
        Garzón-Ramos, David
        del Cerro, Jaime
        Barrientos, Antonio
        Garzón, Mario
        De León, Jorge
        Language
        English
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        Abstract
        The presence of robots in agriculture has grown significantly in recent years, overcoming some of the challenges and complications of this field. This chapter aims to collect a complete and recent state of the art about the application of robots in agriculture. The work addresses this topic from two perspectives. On the one hand, it involves the disciplines that lead the automation of agriculture, such as precision agriculture and greenhouse farming, and collects the proposals for automatizing tasks like planting and harvesting, environmental monitoring and crop inspection and treatment. On the other hand, it compiles and analyses the robots that are proposed to accomplish these tasks: e.g. manipulators, ground vehicles and aerial robots. Additionally, the chapter reports with more detail some practical experiences about the application of robot teams to crop inspection and treatment in outdoor agriculture, as well as to environmental monitoring in greenhouse farming.
        URI
        https://library.oapen.org/handle/20.500.12657/49270
        Keywords
        robotics, agriculture, greenhouse, UGV, UAV, multi‐robot
        DOI
        10.5772/intechopen.69874
        Publisher
        InTechOpen
        Publisher website
        https://www.intechopen.com/
        Publication date and place
        2018
        Classification
        Automatic control engineering
        Rights
        https://creativecommons.org/licenses/by/3.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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