Researchers have made significant progress in the field of artificial intelligence by applying deep learning techniques to automate the detection and classification of crop leaf diseases.

A research team showcases the application of deep learning models in identifying leaf diseases in key tropical crops such as coconut, mango, and durian, offering crucial insights for the future of ...

Researchers at The University of Osaka have developed a computer graphics (CG) model, NeuraLeaf, capable of representing a ...

Early detection of tomato leaf diseases is critical to prevent their spread, but manual detection methods for the same are time-consuming, inconsistent, and labor-intensive. To address this ...

A team of researchers has turned the keen eye of AI toward agriculture, using deep learning algorithms to help detect crop disease before it spreads.

Amanda Heemann JUNGES, Jorge Ricardo DUCATI, Cristian SCALVI LAMPUGNANI, Marcus André Kurtz ALMANÇA, Detection of grapevine leaf stripe disease symptoms by hyperspectral sensor, Phytopathologia ...

Researchers are developing a deep learning network capable of detecting disease biomarkers with a much higher degree of accuracy.