An inexpensive robotic gantry to screen and control soil moisture for plant experiments.

Automation Gravimetric screening Inexpensive Open source Plants Reliable Soil moisture

Journal

HardwareX
ISSN: 2468-0672
Titre abrégé: HardwareX
Pays: England
ID NLM: 101710262

Informations de publication

Date de publication:
Apr 2021
Historique:
received: 01 09 2020
revised: 14 01 2021
accepted: 16 01 2021
entrez: 2 5 2022
pubmed: 22 1 2021
medline: 22 1 2021
Statut: epublish

Résumé

Controlling water content in soil is a recurrent and labor intensive operation on almost any experiment about plant physiology. Here we describe a robotic gantry to measure and control soil moisture in pots that is modular, inexpensive, easy to build, accurate, precise, and reliable. Machines can be stacked into industrial shelves, coupled with other control systems to conduct multifactorial experiments, and adjusted to accommodate numerous pots of any size allowing for experiments with limitless specimen capacity in terms of height and specimen count. The system can be assembled in up to seven hours using off the shelf components and simple tools at a total cost of $1,276, in 2019 prices. A screening cycle can be performed as fast as every six minutes reducing variations in water content due to evaporation and thus creating precise control of soil moisture. As a validation of the long-term cyclic reliability of the system, the machine was run non-stop for 4480 loops; the equivalent to running an experiment for six months controlling water content every hour. By facilitating high throughput monitoring of soil moisture in pots, reliably and at low cost, this machine can facilitate the development of large-scale experiments on plant physiology.

Identifiants

pubmed: 35492045
doi: 10.1016/j.ohx.2021.e00174
pii: S2468-0672(21)00003-1
pmc: PMC9041226
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e00174

Informations de copyright

© 2021 The Author(s).

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Références

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Auteurs

Grant Takara (G)

Department of Mechanical Engineering, University of Hawaii, 2500 Campus Rd, Honolulu, HI 96822, USA.

A Zachary Trimble (A)

Department of Mechanical Engineering, University of Hawaii, 2500 Campus Rd, Honolulu, HI 96822, USA.

Reika Arata (R)

Department of Mechanical Engineering, University of Hawaii, 2500 Campus Rd, Honolulu, HI 96822, USA.

Shane Brown (S)

Department of Mechanical Engineering, University of Hawaii, 2500 Campus Rd, Honolulu, HI 96822, USA.

Hector Jaime Gonzalez (H)

Department of Electrical Engineering, Universidad del Valle, Colombia, Valle, Colombia.

Camilo Mora (C)

Department of Geography and Environment, University of Hawaii, 2500 Campus Rd, Honolulu, HI 96822, USA.

Classifications MeSH