AI-assisted image analysis and physiological validation for progressive drought detection in a diverse panel of L.

Journal: Frontiers in plant science
Published Date: Feb 21, 2024

Abstract

INTRODUCTION: Drought detection, spanning from early stress to severe conditions, plays a crucial role in maintaining productivity, facilitating recovery, and preventing plant mortality. While handheld thermal cameras have been widely employed to track changes in leaf water content and stomatal conductance, research on thermal image classification remains limited due mainly to low resolution and blurry images produced by handheld cameras.

Authors

  • Vito Renó
    Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council of Italy (CNR STIIMA), Bari, Italy.
  • Angelo Cardellicchio
    Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council of Italy (CNR STIIMA), Bari, Italy.
  • Benjamin Conrad Romanjenko
    Department of Botany, University of Wyoming, Laramie, WY, United States.
  • Carmela Rosaria Guadagno
    Department of Botany, University of Wyoming, Laramie, WY, United States.

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