Work

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

Year: 2026

Type: article

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.

Source: Scientific Reports

DOI: 10.1038/s41598-026-45089-w

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

Institutions: University of Bologna, University of Urbino

Language: English

Topic: Climate change impacts on agriculture

Subfield: Ecology, Evolution, Behavior and Systematics

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: gold

Estimated APC paid: $2,690