Evidence map›Paper›PMID 40017703›Full record

ArticleHardwareX2025

Spi-VSTL: Image data collection platform using off-the shelf hardware for vertically supported crops in state-of-the-art glasshouses.

Namal Jayasuriya, Malith Weerasekara, Oula Ghannoum, Yi Guo, Wen Hu

Abstract read
In one paragraph

Article in HardwareX, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Namal JayasuriyaHawkesbury Institute for the Environment, Hawkesbury Campus, Western Sydney University, Richmond, NSW 2753, Australia.
Malith WeerasekaraIndependent Researcher in Automation, NSW, Australia.
Oula GhannoumHawkesbury Institute for the Environment, Hawkesbury Campus, Western Sydney University, Richmond, NSW 2753, Australia.
Yi GuoCentre for Research in Mathematics and Data Science, School of Computer, Data and Mathematical Sciences, Western Sydney University, Parramatta, NSW 2150, Australia.
Wen HuSchool of Computer Science and Engineering, The University of New South Wales, Sydney, NSW 2052, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Indexed as

GlasshousesImage data collectionLow-costMobile platformOff the shelf hardwareProximal sensingVertically supported crops

Identifiers

PMID40017703
PMCPMC11867522

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.