Evidence map›Paper›PMID 38164248›Full record

ArticleFrontiers in plant science2023

Decision-tree-based ion-specific dosing algorithm for enhancing closed hydroponic efficiency and reducing carbon emissions.

Woo-Jae Cho, Min-Seok Gang, Dong-Wook Kim, JooShin Kim, Dae-Hyun Jung, Hak-Jin Kim

Abstract read
In one paragraph

Article in Frontiers in plant science, 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. Review
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

6 authors.

Woo-Jae Cho *Department of Biosystems Engineering, College of Agriculture & Life Sciences, Gyeongsang National University, Jinju, Republic of Korea.
Min-Seok Gang *Department of Biosystems Engineering, College of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea.
Dong-Wook KimDepartment of Biosystems Engineering, College of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea.
JooShin KimDepartment of Biosystems Engineering, College of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea.
Dae-Hyun JungDepartment of Smart Farm Science, Kyung Hee University, Yongin, Republic of Korea.
Hak-Jin KimDepartment of Biosystems Engineering, College of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The maintenance of ion balance in closed hydroponic solutions is essential to improve the crop quality and recycling efficiency of nutrient solutions. However, the absence of robust ion sensors for key ions such as P and Mg and the coupling of ions in fertilizer salts render it difficult to effectively manage ion-specific nutrient solutions. Although ion-specific dosing algorithms have been established, their effectiveness has been inadequately explored. In this study, a decision-tree-based dosing algorithm was developed to calculate the optimal volumes of individual nutrient stock solutions to be supplied for five major nutrient ions, i.e., NO

Indexed as

carbon dioxide emissionsclosed hydroponicsdecision treedosing algorithmion-selective electrodesion-specific replenishment

Identifiers

PMID38164248
PMCPMC10757981

What OpenQuestion holds

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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.