Evidence map›Paper›PMID 38148973›Full record

ArticleHardwareX2023

Design and validation of an open-sourced automation system for vertical farming.

Vijja Wichitwechkarn, William Rohde, Ruchi Choudhary

Abstract read
In one paragraph

Article in HardwareX, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Vijja WichitwechkarnUniversity of Cambridge, Engineering Dept, Trumpington St, Cambridge CB2 1PZ, United Kingdom.
William RohdeUniversity of Cambridge, Engineering Dept, Trumpington St, Cambridge CB2 1PZ, United Kingdom.
Ruchi ChoudharyUniversity of Cambridge, Engineering Dept, Trumpington St, Cambridge CB2 1PZ, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Modular Automated Crop Array Online System (MACARONS) is a scalable, customisable and open-sourced platform designed for plant care, monitoring, and transportation. It offers specific dosing for individual plants, automated data logging of temperature, humidity, and images, and custom behaviours programmable in Python. Monitoring and control of the system is achieved through a web-interface. The system was validated by autonomously caring for five lettuce plants over a five-week period. This was done indoors under artificial lighting and uncontrolled ambient conditions. The system is estimated to perform the tasks required 30% faster than a human operator and can handle payloads of up to 5 kg with a maximum footprint of 750 mm × 500 mm. The validated system supports 12 payloads and can be easily scaled to accommodate more. The designs are released and meets the requirements of CERN-OSH-W, which includes step-by-step graphical build instructions and can be built at a cost of GBP 2241.72 (USD 2793.82). The system aims to provide cost-effective automation to reduce labour costs and provide precise control of irrigation and nutrients. The current system is limited by the dosing time and the space-use efficiency. We provided future directions and modifications that can be made to address this.

Indexed as

Ambient condition monitoringAutomationVertical farming

Identifiers

PMID38148973
PMCPMC10749908

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.