A Lightweight Recognition Method for Rice Growth Period Based on Improved YOLOv5s

The identification of the growth and development period of rice is of great significance to achieve high-yield and high-quality rice. However, the acquisition of rice growth period information mainly relies on manual observation, which has problems such as low efficiency and strong subjectivity. In...

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Bibliographic Details
Main Authors: Kaixuan Liu, Jie Wang, Kai Zhang, Minhui Chen, Haonan Zhao, Juan Liao
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/15/6738