Recent advances in deep learning have transformed plant pathology by enabling rapid, accurate detection and classification of plant diseases. Convolutional neural networks (CNNs), enhanced by transfer ...

Every year, plant diseases caused by bacteria, viruses, and fungi contribute to major economic losses. The prompt detection of these diseases is necessary to curb their spread and mitigate ...

Researchers from North Carolina State University have developed an electronic patch that can be applied to the leaves of plants to monitor crops for different pathogens, such as viral and fungal ...

Swift plant disease diagnosis is vital to prevent extensive production losses and uphold food security. Recently, object detection-based methods using deep learning have shown promise in accurately ...

Plant diseases have posed a major threat to farmers since the early days of agriculture. Today, despite our improved understanding of the causes and treatment of these diseases, they continue to cause ...

A breakthrough out of N.C. State will massively reduce the time needed to collect plant DNA – possibly revolutionizing disease detection tools for the agricultural industry. The method relies on on a ...