The application of deep learning technology in smart agriculture: Lightweight apple leaf disease detection model
Current models for disease detection in fruit tree leaves suffer from limitations such as low recognition precision, high frequencies of missed and false detections. To address these challenges, an advanced model AppleLite-YoloV8 is proposed in this study. Built on the YOLOv8 architecture, the model...
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Published in | International journal for simulation and multidisciplinary design optimization Vol. 16; p. 7 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
EDP Sciences
2025
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Subjects | |
Online Access | Get full text |
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