Author
Listed:
- Juan Liao
(College of Engineering, South China Agricultural University, Guangzhou 510642, China
Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University), Ministry of Education, Guangzhou 510642, China
Guangdong Provincial Key Laboratory of Agricultural Artificial Intelligence (GDKL-AAI), Guangzhou 510642, China)
- Xinying He
(College of Engineering, South China Agricultural University, Guangzhou 510642, China)
- Yexiong Liang
(College of Engineering, South China Agricultural University, Guangzhou 510642, China)
- Hui Wang
(College of Engineering, South China Agricultural University, Guangzhou 510642, China)
- Haoqiu Zeng
(College of Engineering, South China Agricultural University, Guangzhou 510642, China)
- Xiwen Luo
(College of Engineering, South China Agricultural University, Guangzhou 510642, China
Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University), Ministry of Education, Guangzhou 510642, China
Guangdong Provincial Key Laboratory of Agricultural Artificial Intelligence (GDKL-AAI), Guangzhou 510642, China)
- Xiaomin Li
(College of Mechanical and Electrical Engineering, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China)
- Lei Zhang
(College of Agriculture, South China Agricultural University, Guangzhou 510642, China)
- He Xing
(School of Information Technology & Engineering, Guangzhou College of Commerce, Guangzhou 511363, China)
- Ying Zang
(College of Engineering, South China Agricultural University, Guangzhou 510642, China
Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University), Ministry of Education, Guangzhou 510642, China
Guangdong Provincial Key Laboratory of Agricultural Artificial Intelligence (GDKL-AAI), Guangzhou 510642, China)
Abstract
In the original publication [...]
Suggested Citation
Juan Liao & Xinying He & Yexiong Liang & Hui Wang & Haoqiu Zeng & Xiwen Luo & Xiaomin Li & Lei Zhang & He Xing & Ying Zang, 2025.
"Correction: Liao et al. A Lightweight Cotton Verticillium Wilt Hazard Level Real-Time Assessment System Based on an Improved YOLOv10n Model. Agriculture 2024, 14 , 1617,"
Agriculture, MDPI, vol. 15(9), pages 1-5, April.
Handle:
RePEc:gam:jagris:v:15:y:2025:i:9:p:911-:d:1639735
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