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.
Guerra, M.L., Ballestra, L.V., Amicizia, B., Sorini, L., Stefanini, L. (2026). Modelling the Impact of Climate Variables on Agriculture through the F-Transform. SCIENTIFIC REPORTS, 2026, 1-34 [10.1038/s41598-026-45089-w].
Modelling the Impact of Climate Variables on Agriculture through the F-Transform
Maria Letizia Guerra
Conceptualization
;Luca Vincenzo BallestraData Curation
;Benedetta AmiciziaWriting – Review & Editing
;
2026
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.| File | Dimensione | Formato | |
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PaperSR.pdf
accesso aperto
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Versione (PDF) editoriale / Version Of Record
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Licenza per Accesso Aperto. Creative Commons Attribuzione - Non commerciale - Non opere derivate (CCBYNCND)
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Adobe PDF
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