姓名 | 姚照胜 |
性别 | 男 |
出生年月 | 1992年10月 |
学位 | 博士 |
职称 | 讲师 |
电子邮箱 | yzs@aqnu.edu.cn |
办公室 | L楼106室 |
个人简介：
姚照胜，男，中共党员，博士，讲师。毕业于扬州大学，获农学博士学位，主要从事智慧农业方向研究。近5年，主持或参与国省级课题多项，发表论文十余篇，其中SCI/EI论文6篇。申请发明专利6项，获得授权发明专利1项，实用新型1项，软件著作权5项。2024年入职安庆师范学院8846威尼斯物联网工程教研室，从事教学与科研工作。具体研究方向有：作物表型监测及智能设备研发与应用、农田信息采集车的研发与应用、无人机及卫星遥感作物长势监测、物联网系统开发与集成应用等。
一、主讲课程
《智慧农业导论》
二、教育背景
2016-2022 扬州大学 博士
三、工作经历
2022-2024 扬州大学 博士后
四、研究方向
（1）作物表型监测及智能设备研发与应用；
（2）农田信息采集车的研发与应用；
（3）无人机及卫星遥感作物长势监测；
（4）物联网系统开发与集成应用。
五、课题项目
六、论文著作
1. Zhaosheng Yao, Ruimin Shao, Muhammad Zain, Yuanyuan Zhao, Ting Tian, Jianliang Wang, Dingshun Zhang, Tao Liu, Xiaoxin Song, Chengming Sun. Achieving wheat seedling freezing injury assessment during the seedling stage using Unmanned Ground Vehicle (UGV) and hyperspectral imaging technology[J], European Journal of Agronomy, 2024, 161, 127375. 农林科学1区Top IF=4.5
2. Zhaosheng Yao, Dingshun Zhang, Ting Tian, Muhammad Zain, Weijun Zhang, Tianle Yang, Xiaoxin Song, Shaolong Zhu, Tao Liu, Haijiao Ma, Chengming Sun. APW: An ensemble model for efficient wheat spike counting in unmanned aerial vehicle images[J]. Computers and Electronics in Agriculture, 2024, 224: 109204. 农林科学1区Top IF=7.7
3. Zhaosheng Yao, Tao Liu, Tianle Yang, Chengxin Ju and Chengming Sun. Rapid detection of wheat ears in orthophotos from unmanned aerial vehicles in fields based on YOLOX[J]. Frontiers in Plant Science, 2022, 13: 851245. 生物学2区 IF=4.1
4. Tao Liu, Fei Wu, Nana Mou, Shaolong Zhu, Tianle Yang, Weijun Zhang, Hui Wang, Wei Wu, Yuanyuan Zhao, Chengming Sun, Zhaosheng Yao*. The estimation of wheat yield combined with UAV canopy spectral and volumetric data[J]. Food and Energy Security, 2024, 13(1): e527. 农林科学2区 IF=4.0
5. Tao Liu, Yuanyuan Zhao, Hui Wang, Wei Wu, Tianle Yang, Weijun Zhang, Shaolong Zhu, Chengming Sun, Zhaosheng Yao*. Harnessing UAVs and deep learning for accurate grass weed detection in wheat fields: a study on biomass and yield implications[J]. Plant Methods, 2024, 144. 生物学2区 IF=4.7
6. 姚照胜, 刘涛, 刘升平, 邓国强, 武威, & 孙成明. 农田信息采集车设计与试验[J]. 农业机械学报, 2019, 50(10), 236-242. EI
7. Shaolong Zhu, Weijun Zhang, Tianle Yang, Fei Wu, Yihan Jiang, Guanshuo Yang, Muhammad Zain, Yuanyuan Zhao, Zhaosheng Yao, Tao Liu & Chengming Sun. Combining 2D image and point cloud deep learning to predict wheat above ground biomass, Precision Agriculture, 2025, 25, 3139–3166. 农林科学2 区 IF=5.4
8. Tao Liu, Yuanyuan Zhao, Yi Sun, Junchan Wang, Zhaosheng Yao, Chen Chen, Xiaochun Zhong, Shengping Liu, Chengming Sun, Tao Li, High-throughput Identification of Fusarium Head Blight Resistance in Wheat Varieties Using Field Robot-Assisted Imaging and Deep Learning Techniques, Journal of Cleaner Production, 2024, 144024. 环境科学与生态学一区Top IF=9.7
9. Tao Liu, Shaolong Zhu, Tianle Yang, Weijun Zhang, Yang Xu, Kai Zhou, Wei Wu, Yuanyuan Zhao, Zhaosheng Yao, Guanshuo Yang, Ying Wang, Chengming Sun, Jianjun Sun, Maize height estimation using combined unmanned aerial vehicle oblique photography and LIDAR canopy dynamic characteristics, Computers and Electronics in Agriculture, Volume 218, 2024, 108685. 农林科学1区Top IF=7.7
10. Yuanyuan Zhao, Wei Wu, Yuzhuang Zhou, Bo Zhu, Tianle Yang, Zhaosheng Yao, Chengxin Ju, Chengming Sun, Tao Liu, A backlight and deep learning based method for calculating the number of seeds per silique, Biosystems Engineering, 2022, 213, 182-194. 农林科学1区Top IF=4.4
11. Tao Liu, Tianle Yang, Shaolong Zhu, Nana Mou, Weijun Zhang, Wei Wu, Yuanyuan Zhao, Zhaosheng Yao, Jianjun Sun, Chen Chen, Chengming Sun, Zujian Zhang, Estimation of wheat biomass based on phenological identification and spectral response, Computers and Electronics in Agriculture, Volume 222, 2024, 109076. 农林科学1区Top IF=7.7
12. Tao Liu, Jianliang Wang, Jiayi Wang, Yuanyuan Zhao, Hui Wang, Weijun Zhang, Zhaosheng Yao, Shengping Liu, Xiaochun Zhong, Chengming Sun, Research on the estimation of wheat AGB at the entire growth stage based on improved convolutional features, Journal of Integrative Agriculture, 2024.
七、获奖荣誉
八、其它成果
专利：
1. 一种锄臂刀片遇阻回弹的除草装置，CN119790817A，2025
2. 一种玉米群体光合能力指标构建与估测方法，CN119477049A，2024
3. 一种基于小麦冠层光分布的各叶层叶面积指数估测方法，CN119515950A，2024
4. 一种群体冠层构型指标构建与估测方法，CN119622622A，2024
5. 一种植物冠层光分布测量装置和方法，CN117760551A，2023
6. 一种基于时序的作物生长监测方法、系统、介质及设备，CN118583788A，2023
7. 一种耕地耕作层土壤剥离取样结构，CN219694589U，2023
软件著作权：
1. 农业智能除草机锄臂障碍识别与避让系统，2025SR211022，2025
2. 农业智能除草机自转向智能控制系统，2025SR211022，2025
3. 物联网时序图像自动化处理程序，2024SR425164，2024
4. 水稻高温热害智能诊断系统，2023SR1320666，2023
