Evidence map›Paper›PMID 32486394›Full record

ArticleSensors (Basel, Switzerland)2020

Crop Management in Controlled Environment Agriculture (CEA) Systems Using Predictive Mathematical Models.

Chiara Amitrano, Giovanni Battista Chirico, Stefania De Pascale, Youssef Rouphael, Veronica De Micco

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.2field-weighted citation impact, top 9% of its field
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

9 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
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  9. Metrology for Agriculture and Forestry 2019.Sensors (Basel, Switzerland) · 2020
    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

5 authors at 1 institution in 1 country.

Chiara AmitranoDepartment of Agricultural Sciences, University of Naples Federico II, 80055 Portici, Italy.ORCID 0000-0003-1864-5221
Giovanni Battista ChiricoDepartment of Agricultural Sciences, University of Naples Federico II, 80055 Portici, Italy.ORCID 0000-0002-9536-4741
Stefania De PascaleDepartment of Agricultural Sciences, University of Naples Federico II, 80055 Portici, Italy.ORCID 0000-0002-3653-7497
Youssef RouphaelDepartment of Agricultural Sciences, University of Naples Federico II, 80055 Portici, Italy.ORCID 0000-0002-1002-8651
Veronica De MiccoDepartment of Agricultural Sciences, University of Naples Federico II, 80055 Portici, Italy.ORCID 0000-0002-4282-9525
Federico II University Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proximal sensors in controlled environment agriculture (CEA) are used to monitor plant growth, yield, and water consumption with non-destructive technologies. Rapid and continuous monitoring of environmental and crop parameters may be used to develop mathematical models to predict crop response to microclimatic changes. Here, we applied the energy cascade model (MEC) on green- and red-leaf butterhead lettuce (

Indexed as

Models, TheoreticalVapor PressureWaterAgricultureCrops, AgriculturalEnvironment, ControlledLactucaMicroclimateWatercontrolled environment agriculture (CEA)crop modellingenergy cascade model (MEC)Lactuca sativa L. var. capitataprecision horticulture

Identifiers

PMID32486394
PMCPMC7308940
OpenAlexW3031426970

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.