Efficient and Lightweight Automatic Wheat Counting Method with Observation-Centric SORT for Real-Time Unmanned Aerial Vehicle Surveillance

Efficient and Lightweight Automatic Wheat Counting Method with Observation-Centric SORT for Real-Time Unmanned Aerial Vehicle Surveillance

The number of wheat ears per unit area is crucial for assessing wheat yield, but automated wheat ear counting still faces significant challenges due to factors like lighting, orientation, and density variations. Departing from most static image analysis methodologies, this study introduces Wheat-Fas...

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Bibliographic Details
Main Authors: Jie Chen, Xiaochun Hu, Jiahao Lu, Yan Chen, Xin Huang
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Agriculture
Subjects:
object detection
deep learning
wheat ears counting
Kalman filter
lightweight model
Online Access:https://www.mdpi.com/2077-0472/13/11/2110

Internet

https://www.mdpi.com/2077-0472/13/11/2110

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