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Design and Implementation of a Low-Cost, Linear Robotic Camera System, Targeting Greenhouse Plant Growth Monitoring

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  • Zacharias Kamarianakis

    (Department of Electrical & Computer Engineering, Hellenic Mediterranean University, 71410 Heraklion, Greece
    Institute of Agri-Food and Life Sciences, University Research & Innovation Center, H.M.U.R.I.C., Hellenic Mediterranean University, 71410 Heraklion, Greece)

  • Spyros Perdikakis

    (Department of Electrical & Computer Engineering, Hellenic Mediterranean University, 71410 Heraklion, Greece)

  • Ioannis N. Daliakopoulos

    (Laboratory of Utilization of Natural Resources and Agricultural Engineering, Department of Agriculture, Hellenic Mediterranean University, 71410 Heraklion, Greece)

  • Dimitrios M. Papadimitriou

    (Laboratory of Utilization of Natural Resources and Agricultural Engineering, Department of Agriculture, Hellenic Mediterranean University, 71410 Heraklion, Greece)

  • Spyros Panagiotakis

    (Department of Electrical & Computer Engineering, Hellenic Mediterranean University, 71410 Heraklion, Greece)

Abstract

Automated greenhouse production systems frequently employ non-destructive techniques, such as computer vision-based methods, to accurately measure plant physiological properties and monitor crop growth. By utilizing an automated image acquisition and analysis system, it becomes possible to swiftly assess the growth and health of plants throughout their entire lifecycle. This valuable information can be utilized by growers, farmers, and crop researchers who are interested in self-cultivation procedures. At the same time, such a system can alleviate the burden of daily plant photography for human photographers and crop researchers, while facilitating automated plant image acquisition for crop status monitoring. Given these considerations, the aim of this study was to develop an experimental, low-cost, 1-DOF linear robotic camera system specifically designed for automated plant photography. As an initial evaluation of the proposed system, which targets future research endeavors of simplifying the process of plant growth monitoring in a small greenhouse, the experimental setup and precise plant identification and localization are demonstrated in this work through an application on lettuce plants, imaged mostly under laboratory conditions.

Suggested Citation

  • Zacharias Kamarianakis & Spyros Perdikakis & Ioannis N. Daliakopoulos & Dimitrios M. Papadimitriou & Spyros Panagiotakis, 2024. "Design and Implementation of a Low-Cost, Linear Robotic Camera System, Targeting Greenhouse Plant Growth Monitoring," Future Internet, MDPI, vol. 16(5), pages 1-41, April.
    • Handle: RePEc:gam:jftint:v:16:y:2024:i:5:p:145-:d:1381159
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    References listed on IDEAS

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    1. Mariam A. Amer & Pradeep Rajan & Sherif Mehanny & Arkadiusz Artyszak & Mohamed A. A. Ahmed, 2023. "Innovative Design of an Experimental Jasmine Flower Automated Picker System Using Vertical Gripper and YOLOv5," Agriculture, MDPI, vol. 13(8), pages 1-17, August.
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