Fast and Accurate Density Estimation of Hybrid Rice Seedlings Using a Smartphone and an Improved YOLOv8 Model

Fast and Accurate Density Estimation of Hybrid Rice Seedlings Using a Smartphone and an Improved YOLOv8 Model

In seedling cultivation of hybrid rice, fast estimation of seedling density is of great significance for classifying seedling cultivation. This research presents an improved YOLOv8 model for estimating seedling density at the needle leaf stage. Firstly, the auxiliary frame technology was used to add...

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Bibliographic Details
Main Authors: Zehua Li, Yongjun Lin, Yihui Pan, Xu Ma, Xiaola Wu
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agronomy
Subjects:
seedling density estimation
deep learning
object detection
classification of seedlings
mechanized seedling cultivation
Online Access:https://www.mdpi.com/2073-4395/14/12/3066
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