Rice Leaf Disease Image Enhancement Based on Improved CycleGAN

Rice Leaf Disease Image Enhancement Based on Improved CycleGAN

ObjectiveRice diseases significantly impact both the yield and quality of rice production. Automatic recognition of rice diseases using computer vision is crucial for ensuring high yields, quality, and efficiency. However, rice disease image recognition faces challenges such as limited availability...

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Bibliographic Details
Main Authors: YAN Congkuan, ZHU Dequan, MENG Fankai, YANG Yuqing, TANG Qixing, ZHANG Aifang, LIAO Juan
Format: Article
Language:English
Published: Editorial Office of Smart Agriculture 2024-11-01
Series:智慧农业
Subjects:
rice leaf disease
data enhancement
cyclegan
cbam
perceptual similarity loss
transfer learning
Online Access:https://www.smartag.net.cn/CN/rich_html/10.12133/j.smartag.SA202407019
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