Evidence map›Paper›PMID 38618565›Full record

ArticlePeerJ2024

Vertical farming for lettuce production in limited space: a case study in Northern Thailand.

Suwimon Wicharuck, Nuttapon Khongdee, Ar Man, Wahyu Nurkholis Hadi Syahputra, Parichat Yalangkan, Prapaporn Chaiphak, Chatchawan Chaichana

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2024. 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

7 authors.

Suwimon WicharuckOffice of Research Administration, Chiang Mai University, Chiang Mai, Thailand.
Nuttapon KhongdeeDepartment of Highland Agriculture and Natural Resources, Faculty of Agriculture, Chiang Mai University, Chiang Mai, Thailand.ORCID 0000-0003-3209-3400
Ar ManGraduate Master's Degree Program in Energy Engineering, Department of Mechanical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand.ORCID 0009-0007-8915-6704
Wahyu Nurkholis Hadi SyahputraAgricultural Engineering Program, Department of Mechanical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand.
Parichat YalangkanEnergy Technology for Environment Research Center, Department of Mechanical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand.
Prapaporn ChaiphakEnergy Technology for Environment Research Center, Department of Mechanical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand.
Chatchawan ChaichanaEnergy Technology for Environment Research Center, Department of Mechanical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand.ORCID 0000-0002-9392-7088

Funding

Chiang Mai University
6 · The paper itself

Abstract

Background: Greenhouse vertical farming under natural sunlight is an alternative farming technique that grows crops in a stacking column and extends in a vertical direction. Sunlight availability is one of the crucial factors for crop development in vertical farming. Therefore, this investigation aimed to examine the effect of sunlight availability on lettuce growth and yields at different levels of vertical shelves. Methods: Six shelves were constructed with three levels: upper, middle and lower levels. Lettuces ( Results: The results showed that the highest PPFD and DLI values were found at the upper level (PPFD 697 μmol m

Indexed as

AgricultureLactucaCrops, AgriculturalFarmsHumansInfantThailandLettuce productionSunlight availabilityVertical farming

Identifiers

PMID38618565
PMCPMC11015828

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.