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

Zacharias Kamarianakis (), Spyros Perdikakis, Ioannis N. Daliakopoulos, Dimitrios M. Papadimitriou and Spyros Panagiotakis ()
Additional contact information
Zacharias Kamarianakis: Department of Electrical & Computer Engineering, 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

Future Internet, 2024, vol. 16, issue 5, 1-37

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.

Keywords: plant detection; robotic camera; plant photography; automated greenhouse monitoring; vegetables; robot; low cost; plant growth; machine vision; computer vision (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1999-5903/16/5/145/pdf (application/pdf)
https://www.mdpi.com/1999-5903/16/5/145/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:16:y:2024:i:5:p:145-:d:1381159

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().