Evidence map›Paper›PMID 39600892›Full record

ArticleFrontiers in plant science2024

Predicting oil accumulation by fruit image processing and linear models in traditional and super high-density olive cultivars.

Giuseppe Montanaro, Antonio Carlomagno, Angelo Petrozza, Francesco Cellini, Ioanna Manolikaki, Georgios Koubouris, Vitale Nuzzo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 2024. 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

7 authors.

Giuseppe MontanaroDepartment of Agricultural, Forest, Food, and Environmental Sciences, Potenza, Italy.
Antonio CarlomagnoDepartment of Agricultural, Forest, Food, and Environmental Sciences, Potenza, Italy.
Angelo PetrozzaAgenzia Lucana di Sviluppo e Innovazione in Agricoltura (ALSIA) Centro Ricerche Metapontum Agrobios, Metaponto, MT, Italy.
Francesco CelliniAgenzia Lucana di Sviluppo e Innovazione in Agricoltura (ALSIA) Centro Ricerche Metapontum Agrobios, Metaponto, MT, Italy.
Ioanna ManolikakiHellenic Agricultural Organization ELGO-DIMITRA, Institute of Olive Tree, Subtropical Crops and Viticulture, Chania, Greece.
Georgios KoubourisHellenic Agricultural Organization ELGO-DIMITRA, Institute of Olive Tree, Subtropical Crops and Viticulture, Chania, Greece.
Vitale NuzzoDepartment of Agricultural, Forest, Food, and Environmental Sciences, Potenza, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The paper focuses on the seasonal oil accumulation in traditional and super-high density (SHD) olive plantations and its modelling employing image-based linear models. For these purposes, at 7-10-day intervals, fruit samples (cultivar Arbequina, Fasola, Frantoio, Koroneiki, Leccino, Maiatica) were pictured and images segmented to extract the Red (R), Green (G), and Blue (B) mean pixel values which were re-arranged in 35 RGB-derived colorimetric indexes (

Indexed as

colorimetric indexeshysteresisNIROlea europaea L.plantation systemsRGBSHD

Identifiers

PMID39600892
PMCPMC11589486

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.