Fusarium Head Blight

Fusarium Head Blight (FHB) is a devastating fungal disease impacting cereal crops, threatening global food security. Current research heavily emphasizes the development of automated, high-throughput detection methods using advanced image analysis techniques, particularly leveraging convolutional neural networks (CNNs) and, increasingly, transformer models and 3D convolutional neural networks processing multispectral data (including hyperspectral and RGB-NIR). These efforts aim to improve the efficiency and accuracy of FHB screening in breeding programs and field monitoring, ultimately leading to more effective disease management strategies. The high accuracy achieved by these models, particularly in detecting FHB and estimating its severity, demonstrates significant potential for practical application in agriculture.