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曾体伟

日期:2024-08-30

✦个人简介

曾体伟,男,博士,讲师,硕士生副导师,博士毕业于海南大学信息与通信工程专业。主要从事计算机视觉、无人机遥感和空地协同农情监测研究。主持海南省博士生创新科研课题1项,参与1项国家级课题和多项省重点研发项目。在SCI期刊和国际会议上发表论文10余篇,授权国家发明专利1项和软件著作权3项。担任《Computers and Electronics in Agriculture》、《Frontiers in Plant Science》等国际SCI杂志审稿专家。

✦研究方向

※人工智能

※无人机遥感图像处理

※空地协同农情监测

※物联网技术与应用

✦主要科研项目

※主持完成海南省博士生创新科研基金1项

※参与完成国家省自然科学基金1项

※参与完成海南省重点研发基金3项

✦代表性论文

[1] Zeng T, Li C, Zhang B, et al. Rubber leaf disease recognition based on improved deep convolutional neural networks with a cross-scale attention mechanism[J]. Frontiers in Plant Science, 2022, 13: 829479.

[2] Zeng T, Wang Y, Yang Y, et al. Early detection of rubber tree powdery mildew using UAV-based hyperspectral imagery and deep learning[J]. Computers and Electronics in Agriculture, 2024, 220: 108909.

[3] Zeng T, Zhang H, Li Y, et al. Monitoring the severity of rubber tree infected with powdery mildew based on UAV multispectral remote sensing[J]. Forests, 2023, 14(4): 717.

[4] Zeng T, Fang J, Yin C, et al. Recognition of rubber tree powdery mildew based on uav remote sensing with different spatial resolutions[J]. Drones, 2023, 7(8): 533.

[5] Yin C, Zeng T, Zhang H, et al. Maize small leaf spot classification based on improved deep convolutional neural networks with a multi-scale attention mechanism[J]. Agronomy, 2022, 12(4): 906.

[6] Xu P, Yang R, Zeng T, et al. Varietal classification of maize seeds using computer vision and machine learning techniques[J]. Journal of food process engineering, 2021, 44(11): e13846.

✦联系方式

电子邮件:zengtiwei001@163.com