朱少龙

个人简介：

朱少龙，男，河南安阳人，博士。主要从事作物表型与智慧农业研究。发表论文20余篇，申请发明专利4项。2025年入职365上市公司物联网工程教研室，从事教学与科研工作。

一、主讲课程

二、教育背景

2021.09-2025.06  扬州大学 作物栽培学与耕作学专业 博士

三、工作经历

2025.09-至今 英国365上市公司 助教

四、研究方向

1. 无人机遥感作物长势监测；

2. 作物三维重建与信息挖掘；

3. 多源、多模态数据分析与处理。

五、课题项目

基于定量描述的小麦根系构型及其与养分吸收利用的关系，国家自然科学基金面上项目（31872852），2019-2022，参与

六、论文著作

1. Shaolong Zhu; Tianle Yang; Dongwei Han; Weijun Zhang; Muhammad Zain; Qiaoqiao Yu; Yuanyuan Zhao; Fei Wu; Zhaosheng Yao; Tao Liu; Chengming Sun. ODP: A novel indicator for estimating photosynthetic capacity and yield of maize through UAV hyperspectral images. Computers and Electronics in Agriculture, 2025, 235: 110350.

2. Shaolong Zhu; Dongwei Han; Weijun Zhang; Tianle Yang; Zhaosheng Yao; Tao Liu; Chengming Sun. Development of maize canopy architecture indicators and yield estimation through UAV multi-source data, Agronomy-Basel, 2025, 15: 1991.

3. 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, 2024, 25: 3139-3166.

4. Shaolong Zhu; Jinyu Zhang; Maoni Chao; Xinjuan Xu; Puwen Song; Jinlong Zhang; Zhongwen Huang. A rapid and highly efficient method for the identification of soybean seed varieties: hyperspectral images combined with transfer learning. Molecules, 2020, 25: 152.

5. Shaolong Zhu; Maoni Chao; Jinyu Zhang; Xinjuan Xu; Puwen Song; Jinlong Zhang; Zhongwen Huang. Identification of soybean seeds based on hyperspectral imaging technology. Sensors, 2019, 19: 5225.

6. 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, 2024, 218: 108685.

7. Weijun Zhang; Shaolong Zhu; Dongwei Han; Tianle Yang; Yihan Jiang; Jiacheng Wang; Fei Wu; Zhaosheng Yao; Chengming Sun; Tao Liu. Classification of pre-winter wheat seedling conditions based on UAV images and local optimized features (LOFs). Journal of Integrative Agriculture. (In Press) https://doi.org/10.1016/j.jia.2025.07.031.

8. Dongwei Han; Shaolong Zhu; Muhammad Zain; Weijun Zhang; Guanshuo Yang; Lili Zhang; Binqian Sun; Yuanyuan Zhao; Zhaosheng Yao; Tao Liu; Chengming Sun. Estimation of wheat LAI in different leaf layers through LiDAR canopy vertical light distribution parameters and UAV vegetation indices. Agricultural and Forest Meteorology, 2025, 374: 110827.

9. Tianle Yang; Shaolong Zhu; Weijun Zhang; Yuanyuan Zhao; Xiaoxin Song; Guanshuo Yang; Zhaosheng Yao; Wei Wu; Tao Liu; Chengming Sun; Zujian Zhang. Unmanned aerial vehicle-scale weed segmentation method based on image analysis technology for enhanced accuracy of maize seedling counting. Agriculture-Basel, 2024, 14: 175.

10. 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, 2024, 222: 109076.

11. Yihan Jiang; Fang Wu; Shaolong Zhu; Weijun Zhang; Fei Wu; Tianle Yang; Guanshuo Yang; Yuanyuan Zhao; Chengming Sun; Tao Liu. Research on rapeseed above-ground biomass estimation based on spectral and LiDAR data. Agronomy-Basel, 2024, 14: 1610.

12. Yushuai Wang; Yuxin Chen; Zhou Shu; Shaolong Zhu; Weijun Zhang; Tao Liu; Chengming Sun. Integration of UAV remote sensing and machine learning for taro blight monitoring. Agronomy-Basel, 2025, 15: 1189.

13. Jie Wang; Yuxin Chen; Weijun Zhang; Shaolong Zhu; Tao Liu; Chengming Sun. Taro disease grading based on color and texture features of near-ground RGB images. IEEE Sensors Journal, 2025, 25: 26698-26710.

14. 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. Food and Energy Security, 2024, 13: e527.

15. 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. Plant Methods, 2024, 20: 144.

16. 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. Computers and Electronics in Agriculture, 2024, 224: 109204.

17. 杨冠硕;朱少龙;杨天乐;韩东伟;张伟军;王建亮;姚照胜;刘涛;孙成明.融合光谱和点云信息的小麦地上部生物量估测.麦类作物学报,2025. (网络首发)

18. 崔腾予;朱少龙;韩东伟;刘涛;孙成明.基于激光扫描技术的小麦植株三维重建与表型参数提取.江苏农业科学,2024, 52: 56-61.

19. 张晋玉;朱少龙;晁毛妮;徐新娟;王平喜;黄中文.大豆胁迫相关蛋白GmSAP3基因的克隆和表达分析.分子植物育种,2021, 19: 6984-6989.

20. 范鹏;杨天乐;朱少龙;王志杰;张明月;魏海燕;刘国栋.长三角地区半糯粳稻外观品质的评价.中国农业科学,2024, 57: 3105-3116.

七、获奖荣誉

八、其它成果

发明专利：

1. 一种玉米群体光合能力指标构建与估测方法，CN119477049A.

2. 一种群体冠层构型指标构建与估测方法，CN119622622A.

3. 一种作物群体的株高测算方法和系统，CN117274359A.

4. 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.