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 ...

The study states that non-destructive detection technologies (NDDTs) address these issues by identifying diseases at early ...

An AI-powered tool from Carnegie Mellon University and collaborators is helping uncover genetic clues to rare diseases, ...

A research team now proposes a novel Multi-Granularity Alignment (MGA) domain adaptation framework that dramatically improves cross-domain detection accuracy, enabling deep learning models to maintain ...

A new study from the Medical University of Vienna shows that high blood pressure on its own—without other health problems ...

By integrating large-kernel convolutional blocks and a novel loss function, LKNet effectively addresses challenges such as ...

Researchers at Edith Cowan University (ECU) have developed a cutting-edge Artificial Intelligence (AI) system that could support medical professionals in detecting and accurately diagnosing the stage ...

Scientists are using AI and genetic engineering to enhance plant immunity, offering a new defense against crop diseases.

Scientists at UC Davis used artificial intelligence to help plants recognize a wider range of bacterial threats — which may ...

WAM Celebrating the Union Pledge Day, the Emirates Mobile Heart Clinics have launched a campaign for the early detection of cardiovascular diseases in rural Pakistani villages. The initiative aims to ...

AI detection algorithms trained on authentic versus fake content can sometimes identify the specific generation tool used to create a particular deepfake.