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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年4月24日

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

摘要

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.