Evidence map›Paper›PMID 38203005›Full record

ArticleSensors (Basel, Switzerland)2023

The Influence of External Parameters on the Ripeness of Pumpkins.

Kubiat Emah, Linli Hu, Solomon Boamah, Sylvester Chukwuka, Richard John Tiika, Kai Zhang, Jianzhong Tie, Zhongqi Tang, Jihua Yu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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

9 authors.

Kubiat EmahCollege of Horticulture, Gansu Agricultural University, Lanzhou 730070, China.
Linli HuCollege of Horticulture, Gansu Agricultural University, Lanzhou 730070, China.
Solomon BoamahCollege of Plant Protection, Gansu Agricultural University, Lanzhou 730070, China.
Sylvester ChukwukaCollege of Information Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.
Richard John TiikaCollege of Forestry, Gansu Agricultural University, Lanzhou 730070, China.
Kai ZhangCollege of Horticulture, Gansu Agricultural University, Lanzhou 730070, China.
Jianzhong TieCollege of Horticulture, Gansu Agricultural University, Lanzhou 730070, China.
Zhongqi TangCollege of Horticulture, Gansu Agricultural University, Lanzhou 730070, China.
Jihua YuCollege of Horticulture, Gansu Agricultural University, Lanzhou 730070, China.

Funding

China Agriculture Research System CARS-23-C-07Education Science and Technology Innovation Project of Gansu Province GSSYLXM-02Gansu Top Leading Talent Plan GSBJLJ-2021-14Modern Silk Road Cold and Arid Agriculture Science and Technology Support Project GSLK-2021-6National Natural Science Foundation of China 32160705Special Project for Central Guidance of Local Science and Technology Development ZCYD-2021-6
6 · The paper itself

Abstract

Growing pumpkins in controlled environments, such as greenhouses, has become increasingly important due to the potential to optimise yield and quality. However, achieving optimal environmental conditions for pumpkin cultivation requires precise monitoring and control, which can be facilitated by modern sensor technologies. The objective of this study was to determine the optimal placement of sensors to determine the influence of external parameters on the maturity of pumpkins. The greenhouse used in the study consisted of a plastic film for growing pumpkins. Five different sensors labeled from A1 to A5 measured the air temperature, humidity, soil temperature, soil humidity, and illumination at five different locations. We used two methods, error-based sensor placement and entropy-based sensor placement, to evaluate optimisation. We selected A3 sensor locations where the monitored data were close to the reference value, i.e., the average data of all measurement locations and parameters. Using this method, we selected sensor positions to monitor the influence of external parameters on the maturity of pumpkins. These methods enable the determination of optimal sensor locations to represent the entire facility environment and detect areas with significant environmental disparities. Our study provides an accurate measurement of the internal environment of a greenhouse and properly selects the base installation locations of sensors in the pumpkin greenhouse.

Indexed as

CucurbitaEntropyEnvironment, ControlledHumiditySoilSoilentropy-based approachesenvironmental parameterserror-basedgreenhousesensors

Identifiers

PMID38203005
PMCPMC10781241

What OpenQuestion holds

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Registered trials

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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.