Plant disease image classification method, device, system and equipment and storage medium

• Main Authors: GUO YUANHANG, DAI QIUFANG, LI ZHEN, XIAO YUNGAO, CHEN ZIWEI, HUANG WEICHENG, WANG YUAN, LYU SHILEI, SONG SHURAN
• Format: Patent
• Language: Chinese; English
• Published: 15.08.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

The invention discloses a plant disease image classification method, device, system and equipment and a storage medium, and the method comprises the steps: obtaining an original image data set which comprises a plurality of plant disease images; a generative adversarial network model is trained according to the original image data set, and the adversarial network model comprises a generator, a layer skipping module and a discriminator; generating a plant disease image through the trained generative adversarial network model to construct a generated image data set; and training a classification network model according to the generated image data set so as to realize image classification. The technical problem that a deep learning algorithm is limited by the quality and number of data sets when applied to the field of plant disease recognition can be solved. 本说明书公开了一种植物病害图像分类方法、装置、系统、设备及存储介质，所述方法包括：获取原始图像数据集，所述原始图像数据集包括多种植物病害图像；根据所述原始图像数据集，训练生成对抗网络模型，所述对抗网络模型包括生成器、跳层模块和鉴别器；通过训练好的所述生成对抗网络模型生成植物病害图像，以构建生成图像数据集；根据