ADL-YOLOv8: A Field Crop Weed Detection Model Based on Improved YOLOv8

ADL-YOLOv8: A Field Crop Weed Detection Model Based on Improved YOLOv8

This study presents an improved weed detection model, ADL-YOLOv8, designed to enhance detection accuracy for small targets while achieving model lightweighting. It addresses the challenge of attaining both high accuracy and low memory usage in current intelligent weeding equipment. By overcoming thi...

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Bibliographic Details
Main Authors: Zhiyu Jia, Ming Zhang, Chang Yuan, Qinghua Liu, Hongrui Liu, Xiulin Qiu, Weiguo Zhao, Jinlong Shi
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Agronomy
Subjects:
weed detection
ADL-YOLOv8
lightweight model
precision agriculture
attention mechanism
Online Access:https://www.mdpi.com/2073-4395/14/10/2355

Internet

https://www.mdpi.com/2073-4395/14/10/2355

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