A Training Dataset for Deep Neural Network Model Recognition of Common Cotton Diseases

A Training Dataset for Deep Neural Network Model Recognition of Common Cotton Diseases provides strong support for cotton disease monitoring and prevention and control. This dataset contains images of cotton plants under different disease states, covering five phenotypic state images of cotton plants, including anthracnose, bacterial angular spot, brown spot, wilt, and health. A total of 816 images of cotton with anthracnose, 919 images of bacterial angular spot, 917 images of brown spot, 538 images of fusarium wilt, and 264 images of healthy status were collected. The images under each disease state have corresponding file name prefixes for easy data retrieval and use. A Training Dataset for Deep Neural Network Model Recognition of Common Cotton Diseases provides strong support for cotton disease monitoring and prevention and control. This dataset contains images of cotton plants under different disease states, covering five phenotypic state images of cotton plants, including anthracnose, bacterial angular