Evidence map›Paper›PMID 42031891›Full record

ArticleScientific reports2026

Modeling the impact of climate variables on agriculture through the F-transform.

Benedetta Amicizia, Luca Vincenzo Ballestra, Maria Letizia Guerra, Laerte Sorini, Luciano Stefanini

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2026. 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

5 authors.

Benedetta AmiciziaDepartment of Statistical Sciences "Paolo Fortunati", University of Bologna, Bologna, Italy.
Luca Vincenzo BallestraDepartment of Statistical Sciences "Paolo Fortunati", University of Bologna, Bologna, Italy.
Maria Letizia GuerraDepartment of Statistical Sciences "Paolo Fortunati", University of Bologna, Bologna, Italy. mletizia.guerra@unibo.it.
Laerte SoriniDepartment of Economics, Society and Politics, University of Urbino, Urbino, Italy.
Luciano StefaniniDepartment of Economics, Society and Politics, University of Urbino, Urbino, Italy.

Funding

Ministero dell'Università e della Ricerca 2022FPLY97 - CUP J53D23004530006
6 · The paper itself

Abstract

The paper investigates the relationship between climatic variables and agricultural production in the United States, focusing on the reciprocal interactions among precipitation data, temperature data, and annual agricultural output (specifically Corn, Soybean, and Wheat) in the most productive counties of Illinois. The aim is to assess the impact that weather conditions may have on agricultural productivity. The study is performed using F-transform in modeling time series. Graphical examples and pictures accompany the presentation.

Indexed as

Climate variablesClusteringCrop productionF-transformLatent variableLocal trendsTime series

Identifiers

PMID42031891
PMCPMC13263345

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.