Identifying Pine Wood Nematode Disease Using UAV Images and Deep Learning Algorithms
Pine nematode is a highly contagious disease that causes great damage to the world’s pine forest resources. Timely and accurate identification of pine nematode disease can help to control it. At present, there are few research on pine nematode disease identification, and it is difficult to accuratel...
Main Authors: | Jun Qin, Biao Wang, Yanlan Wu, Qi Lu, Haochen Zhu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-01-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/2/162 |
Similar Items
-
Recognition of Abnormal Individuals Based on Lightweight Deep Learning Using Aerial Images in Complex Forest Landscapes: A Case Study of Pine Wood Nematode
by: Zuyi Zhang, et al.
Published: (2023-02-01) -
Characterizing Spatial Patterns of Pine Wood Nematode Outbreaks in Subtropical Zone in China
by: Yahao Zhang, et al.
Published: (2021-11-01) -
Nematicidal Activity of Benzyloxyalkanols against Pine Wood Nematode
by: Junheon Kim, et al.
Published: (2021-03-01) -
Pine wood nematode disease area identification based on multi-temporal multi-source remote sensing images and BIT model
by: Degao Wang, et al.
Published: (2024-01-01) -
Detection of Pine Wilt Nematode from Drone Images Using UAV
by: Zhengzhi Sun, et al.
Published: (2022-06-01)