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Development of a Low-Cost Semantic Monitoring System for Vineyards Using Autonomous Robots

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Listed:
  • Abhijeet Ravankar

    (School of Regional Innovation and Social Design Engineering, Faculty of Engineering, Kitami Institute of Technology, Kitami, Hokkaido 090-8507, Japan
    These authors contributed equally to this work.)

  • Ankit A. Ravankar

    (Division of Human Mechanical Systems and Design, Faculty of Engineering, Hokkaido University, Sapporo 060-8628, Japan
    These authors contributed equally to this work.)

  • Michiko Watanabe

    (School of Regional Innovation and Social Design Engineering, Faculty of Engineering, Kitami Institute of Technology, Kitami, Hokkaido 090-8507, Japan)

  • Yohei Hoshino

    (School of Regional Innovation and Social Design Engineering, Faculty of Engineering, Kitami Institute of Technology, Kitami, Hokkaido 090-8507, Japan)

  • Arpit Rawankar

    (Department of Electronics and Telecommunication, Vidyalankar Institute of Technology, Mumbai 400037, India)

Abstract

Many tasks involved in viticulture are labor intensive. Farmers frequently monitor the vineyard to check grape conditions, damage due to infections from pests and insects, grape growth, and to estimate optimal harvest time. Such monitoring is often done manually by the farmers. Manual monitoring of large vineyards is time and labor consuming process. To this end, robots have a big potential to increase productivity in farms by automating various tasks. We propose a low-cost semantic monitoring system for vineyards using autonomous robots. The system uses inexpensive cameras, processing boards, and sensors to remotely provide timely information to the farmers on their computer and smart phone. Unlike traditional systems, the proposed system logs data ‘semantically’, which enables pin-pointed monitoring of vineyards. In other words, the farmers can monitor only specific areas of the vineyard as desired. The proposed algorithm is robust for occlusions, and intelligently logs image data based on the movement of the robot. The proposed system was tested in actual vineyards with real robots. Due to its compactness and portability, the proposed system can be used as an extension in conjunction with already existing autonomous robot systems used in vineyards. The results show that pin-pointed remote monitoring of desired areas of the vineyard is a very useful and inexpensive tool for the farmers to save a lot of time and labor.

Suggested Citation

  • Abhijeet Ravankar & Ankit A. Ravankar & Michiko Watanabe & Yohei Hoshino & Arpit Rawankar, 2020. "Development of a Low-Cost Semantic Monitoring System for Vineyards Using Autonomous Robots," Agriculture, MDPI, vol. 10(5), pages 1-19, May.
    • Handle: RePEc:gam:jagris:v:10:y:2020:i:5:p:182-:d:361182
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    References listed on IDEAS

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    1. Panos Panagos & Cristiano Ballabio & Emanuele Lugato & Arwyn Jones & Pasquale Borrelli & Simone Scarpa & Alberto Orgiazzi & Luca Montanarella, 2018. "Potential Sources of Anthropogenic Copper Inputs to European Agricultural Soils," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
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    Cited by:

    1. Artemi Cerdà & Jesús Rodrigo-Comino, 2021. "Regional Farmers’ Perception and Societal Issues in Vineyards Affected by High Erosion Rates," Land, MDPI, vol. 10(2), pages 1-18, February.
    2. Abhijeet Ravankar & Ankit A. Ravankar & Arpit Rawankar & Yohei Hoshino, 2021. "Autonomous and Safe Navigation of Mobile Robots in Vineyard with Smooth Collision Avoidance," Agriculture, MDPI, vol. 11(10), pages 1-17, September.

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