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. The ...

Plant diseases can cause major economic losses and detecting them early is important. Machine learning models can be used for this, but current models need to be improved upon. In a recent study, ...

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

Phytopathologia Mediterranea, Vol. 57, No. 3, 10th Special issue dedicated to grapevine trunk diseases (December 2018), pp. 399-406 (8 pages) Hyperspectral sensors can measure reflectance in a wide ...

A research team led by Prof. Jiang Ni from the Institute of Genetics and Developmental Biology (IGDB) of the Chinese Academy of Sciences (CAS) proposed a cost-effective method for in-field acquisition ...

Photographic examples of a plant disease dataset. (a) Balck rot; (b) Northern leaf blight; (c) Isariopsis leaf spot; (d) Brown spot. Researchers have made significant progress in the field of ...

Plant diseases have posed a major threat to farmers since the early days of agriculture. Today, despite our improved understanding of the causes and treatment of these diseases, they continue to cause ...