PyTorch + torchvision (pretrained ResNet-50 / MobileNetV2, fine-tuning, Grad-CAM hooks), OpenCV (image I/O, colour spaces, resizing, normalisation, morphology, lighting perturbations), NumPy (metrics) ...

A systematic review of 59 studies finds deep learning dominates fungal leaf disease detection while bacterial diagnosis, ...

A hybrid DeiT system reached 99.13% accuracy on a 38-class plant disease benchmark while combining local and global AI ...

Course: CSM422 – Deep Learning. PlantGuard AI looks at a photo of a plant leaf and predicts whether the plant is healthy or which disease it has. It then shows the treatment and ...

Plants—like people—come in all shapes and sizes. And just like scientists want to understand the components of the human body to treat disease and improve our lives, they also want to understand how ...

From your description, it sounds like your ground cover is showing anthracnose, which is a common disease caused by a fungus on lily-of-the-valley. It causes lesions that are often circular to ...

According to a 2026 systematic review and modeling analysis published in The Lancet Global Health, an estimated 316.54 million individuals aged 25 years or older worldwide had peripheral arterial ...

Clinicians often use a medical test called a 12-lead electrocardiogram (ECG) to diagnose heart problems. It uses electrodes placed on the chest and limbs to record the heart's electrical activity.

Disease and pest forecasting in plants is a valuable tool in modern agriculture. It helps in the efficient and sustainable management of plant diseases, reduces economic losses, and minimizes the ...

A breakthrough in AI-driven crop disease detection is set to reduce harvest losses and chemical-related health risks, thanks to a first-of-its-kind tomato leaf dataset comprising almost 9,000 images.

When it’s time to water your garden, it can be easy to put on the sprinklers or get out the garden hose and spray all your plants. The water covers a bigger area and faster, so it must be better for ...