Abstract
Horticulture crop growers are moving from conventional to protected crops, aiming for quality food production utilising fewer resources. Skilled labour for monitoring and maintaining crops in these compact environments has been identified as a major cost and can be reduced using automated image-based crop monitoring. There is a range of protected cropping infrastructures targeting different types of crops. Image data collection platforms are needed to be tailored according to the infrastructure and nature of the crop. Available research or commercial-purpose image data collection platforms for indoor crops are mostly targeted at movable and small plants compared to vertically supported tall plants. Customising existing commercial systems for this specific type of crop is costly. This paper proposes a low-cost image data collection platform for monitoring vertically supported tall crops in order to reduce labour costs while expanding the monitoring tasks for maintaining better crop growth. Off-the-shelf hardware and electronic components accessible from Australia are used for this development. The proposed platform runs manually on concrete flow and on pipe rail systems found in state-of-the-art commercial glasshouse settings. The proposed motorised platform has been tested with 30 kg, and speed was measured as an average minimum of 0.06 ms−1 and an average maximum of 0.47 ms−1. The usability of the proposed design has been proved with a published data set and research on plant height estimation. Other use cases and room for further development are also discussed.
| Original language | English |
|---|---|
| Article number | e00624 |
| Journal | HardwareX |
| Volume | 21 |
| DOIs | |
| Publication status | Published - Mar 2025 |
Bibliographical note
Publisher Copyright:© 2025 The Authors
Keywords
- Glasshouses
- Image data collection
- Low-cost
- Mobile platform
- Off the shelf hardware
- Proximal sensing
- Vertically supported crops
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Spi-VSTL_VII control circuits and firmware
Jayasuriya, N., ZENODO, 15 Oct 2024
DOI: 10.5281/zenodo.13932800, https://doi.org/10.5281/zenodo.13932800
Dataset
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Spi-VSTL_VII 3D design files
Jayasuriya, N., ZENODO, 15 Oct 2024
DOI: 10.5281/zenodo.13933529, https://doi.org/10.5281/zenodo.13933528
Dataset