Detection of Bean Rust (Uromyces appendiculatus) Disease Under Field Conditions Using Thermal Imaging

Abstract

Among the factors causing yield losses in agricultural fields, plant diseases are known to be one of the most significant. For many years, pesticides have been used to combat these diseases. However, due to the unintended toxic effects of pesticides on non-target organisms in recent years, there have been restrictions on their usage. Therefore, there has been an increased interest in alternative methods to chemical control in combating plant diseases. Among these alternative methods, thermal imaging, widely used within the scope of precision agriculture practices, holds a significant position. This study aims to detect bean rust disease (Agent: Uromyces appendiculatus) at an early stage using thermal imaging methods. According to the obtained results, it has been determined that leaves infected with the pathogen have a temperature approximately 2 ºC lower than healthy leaves. Surface temperatures of healthy and infected leaves were measured at 60-minute intervals for three weeks. Throughout this three-week period, it was observed that the average daily temperatures of infected leaves and healthy leaves were below ambient temperatures. Thermal imaging is considered to play a crucial role in the potential early detection of plant diseases.

Plant phenotyping relevance

熱画像を用いて感染葉と健全葉の温度差から植物病害を早期検出する方法を評価しており、植物状態の取得・判定が研究の中心です。

Code and data availability

The article reports thermal imaging measurements of bean rust under field conditions but contains no data availability statement, no public dataset or image repository, no author code/scripts, and no trained models or checkpoints. Only proprietary tools (FLIR Thermal Studio, JMP 16.0) are mentioned; no paper-specific,公

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