EF yolov8s: A Human–Computer Collaborative Sugarcane Disease Detection Model in Complex Environment

EF yolov8s: A Human–Computer Collaborative Sugarcane Disease Detection Model in Complex Environment

The precise identification of disease traits in the complex sugarcane planting environment not only effectively prevents the spread and outbreak of common diseases but also allows for the real-time monitoring of nutrient deficiency syndrome at the top of sugarcane, facilitating the supplementation o...

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Bibliographic Details
Main Authors: Jihong Sun, Zhaowen Li, Fusheng Li, Yingming Shen, Ye Qian, Tong Li
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Agronomy
Subjects:
disease detection
growth monitoring
deficiency syndrome
complex environment
attention mechanism
Online Access:https://www.mdpi.com/2073-4395/14/9/2099
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https://www.mdpi.com/2073-4395/14/9/2099

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