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 ...

A research team has developed LGNet, a dual-branch network that combines convolutional neural networks (CNNs) and visual transformers (VTs) for plant disease identification. LGNet effectively fuses ...

AlphaFold has been used to predict how targeted immune receptor engineering could lead to increased disease resistance in plants. Scientists at the University of California, Davis (CA, USA), have ...

A team of Spanish researchers has created plants that glow in the dark and change colour when infected, allowing early detection of crop pests and diseases with ordinary cameras. A technology ...

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 ...