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

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

A research team has developed an advanced deep learning model, LKNet, to improve the accuracy of rice panicle counting in dense crop canopies.

Pollen from 18,000 tropical plants was digitized in Panama. The images will be used to train a machine-learning model to ...

Researchers discovered how a plant's first line of defense seals off wounds and heals itself, a finding that could lead to ...