Detection of maize tassels for UAV remote sensing image with an improved YOLOX Model
Maize tassel detection is essential for future agronomic management in maize planting and breeding, with application in yield estimation, growth monitoring, intelligent picking, and disease detection. However, detecting maize tassels in the field poses prominent challenges as they are often obscured...
Main Authors: | Chao-yu SONG, Fan ZHANG, Jian-sheng LI, Jin-yi XIE, Chen YANG, Hang ZHOU, Jun-xiong ZHANG |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-06-01
|
Series: | Journal of Integrative Agriculture |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2095311922002465 |
Similar Items
-
Tassel-YOLO: A New High-Precision and Real-Time Method for Maize Tassel Detection and Counting Based on UAV Aerial Images
by: Hongli Pu, et al.
Published: (2023-07-01) -
ESG-YOLO: A Method for Detecting Male Tassels and Assessing Density of Maize in the Field
by: Wendi Wu, et al.
Published: (2024-01-01) -
Three-dimensional branch segmentation and phenotype extraction of maize tassel based on deep learning
by: Wenqi Zhang, et al.
Published: (2023-08-01) -
Automatic Detection of Maize Tassels from UAV Images by Combining Random Forest Classifier and VGG16
by: Xuli Zan, et al.
Published: (2020-09-01) -
Multiscale Maize Tassel Identification Based on Improved RetinaNet Model and UAV Images
by: Binbin Wang, et al.
Published: (2023-05-01)