邓杰

邓杰，男，副教授。广东韶关人，2016年12月入党。2017年毕业于中国农业大学植物保护专业和计算机科学与技术专业（双学位），获农学学士学位和工学学士学位。2019年毕业于中国农业大学植物保护专业，获农业硕士学位。2023年毕业于中国农业大学植物病理学专业，获农学博士学位。2023年6月-2025年7月于中国科学院空天信息创新院开展博士后研究工作。2025年8月起任中国农业大学水利与土木工程学院农业建筑与环境工程系副教授。

·         研究领域

（1）利用无人机、卫星遥感和AI开展大尺度农业遥感。

（2）设施园艺智能控制与AI种植

（3）生成式AI、多模态AI、基础大模型等前沿技术。

·         学术兼职

中国植物保护学会植保系统工程专业委员会秘书长，国际数字地球学会中国国家委员会青年科学家工作委员会成员，Computers and Electronics in Agriculture、Artificial Intelligence in Agriculture、European Journal of Agronomy、International Journal of Applied Earth Observation and Geoinformation、IEEE Transactions on Geoscience and Remote Sensing等智慧农业、遥感领域国际期刊审稿人。

·         科研项目

（1）国家自然科学基金青年科学基金（C类），基于无人机与多模态智能算法的小麦条锈病早期定量反演和田间巡检，2025-2027，主持。

（2）中国博士后科学基金面上项目，2023-2025，主持。

（3）国家资助博士后（B档），2023-2025，主持。

（4）中国科学院特别研究助理项目，2023-2025，主持。

（5）国家重点研发计划项目“跨域知识互联的时空谱一体化遥感大数据智能融合”，2023-2027，参与。

（6）国家重点研发计划项目“小麦条锈菌跨区传播途径与时空动态变化规律研究”，2021-2024，参与。

（7）开封市科技攻关计划项目-小麦条锈病遥感监测预警研究，2023-2025，参与。

（8）重庆市自然基金面上项目-“基于遥感数据的重庆市花椒锈病识别技术研究”，2022-2024，参与。

·         主要发表论文

[1] Deng J., Hong D.*, Li C., Yao J., Yang Z., Zhang Z. and Chanussot J.. RustQNet: Multimodal deep learning for quantitative inversion of wheat stripe rust disease index. Computers and Electronics in Agriculture, 2024, 225: 109245.

[2] Deng J., Wang R., Yang L., Lv X., Yang Z., Zhang K., Zhou C., Pengju L., Wang Z., Abdullah A., and Ma Z.*. Quantitative estimation of wheat stripe rust disease index using unmanned aerial vehicle hyperspectral imagery and innovative vegetation indices. IEEE Transactions on Geoscience and Remote Sensing, 2023.

[3] Deng J., Zhang X., Yang Z., Zhou C., Wang R., Zhang K., Lv X., Yang L., Wang Z., Li P., and Ma Z.*. Pixel-level regression for UAV hyperspectral images: Deep learning-based quantitative inverse of wheat stripe rust disease index. Computers and Electronics in Agriculture, 2023, 215: 108434.

[4] Deng J., Zhou H., Lv X., Yang L., Shang J., Sun Q., Zheng X., Zhou C., Zhao B., Wu J., and Ma Z.*. Applying convolutional neural networks for detecting wheat stripe rust transmission centers under complex field conditions using RGB-based high spatial resolution images from UAVs. Computers and Electronics in Agriculture, 2022, 200: 107211.

[5] Zhang K., Deng J.*, Zhou C., Liu J., Lv X., Wang Y., Sun E., Liu Y., Ma Z., and Shang J.*. Using UAV hyperspectral imagery and deep learning for Object-Based quantitative inversion of Zanthoxylum rust disease index. International Journal of Applied Earth Observation and Geoinformation, 2024, 135: 104262.

[6] Zhang, K.; Zhang, R.; Yang, Z.; Deng, J.*; Abdullah, A.; Zhou, C.; Lv, X.; Wang, R.; Ma, Z. Efficient Wheat Lodging Detection Using UAV Remote Sensing Images and an Innovative Multi-Branch Classification Framework. Remote Sens. 2023, 15, 4572.

[7] Ding, L; Hong, DF; Zhao, MF; Chen, HRX; Li, CY; Deng, J; Yokoya, N; Bruzzone, L; Chanussot, J, A Survey of Sample-Efficient Deep Learning for Change Detection in Remote Sensing: Tasks, strategies, and challenges, in IEEE Geoscience and Remote Sensing Magazine, vol. 13, no. 3, pp. 164-189, Sept. 2025, doi: 10.1109/MGRS.2025.3533605.

[8] Deng Jie, Hong Danfeng*, Li Chenyu, Yokoya Naoto. Joint super-resolution and segmentation for 1-m impervious surface area mapping in China’s Yangtze river economic belt[J]. GIScience & Remote Sensing, 2026, 63(1):2610548.

[9] Deng Jie, Tailai Chen, Chenyu Li, Danfeng Hong*. Foundation Models for Phenotyping Segmentation of Wheat Stripe Rust Resistance from UAV Hyperspectral Images [J]. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, 2026, 849-858.

更多论文信息请参考谷歌学术网页

·         联系方式

办公地点：中国农业大学东校区水院楼509

电子邮件：djcc@cau.edu.cn

1）利用卫星遥感、无人机和人工智能等技术，开展大尺度农业设施、作物分类、病虫害监测等制图。

2）设施园艺智能控制、智慧巡检、AI种植系统。

3）生成式AI、多模态AI、基础大模型、语义分割/目标检测等前沿技术。

本科生课程：近十年课程数据

纵向项目 横向项目

论文题目	刊物名称	收录类别	发表年月	第一作者或全部作者	第一作者单位	排名
Quantitative estimation of wheat stripe rust disease index using unmanned aerial vehicle hyperspectral imagery and innovative vegetation indices	IEEE Transactions on Geoscience and Remote Sensing	SCI	2023	Deng, Jie; Wang, Rui; Yang, Lujia; Lv, Xuan; Yang, Ziqian; Zhang, Kai; Zhou, Congying; Pengju, Li; Wang, Zhifang; Abdullah, Ahsan; Zhanhong Ma*		1
Applying convolutional neural networks for detecting wheat stripe rust transmission centers under complex field conditions using RGB-based high spatial resolution images from UAVs	Computers and Electronics in Agriculture	SCI	2022	Deng, Jie; Zhou, Huiru; Lv, Xuan; Yang, Lujia; Shang, Jiali; Sun, Qiuyu; Zheng, Xin; Zhou, Congying; Zhao, Baoqiang; Wu, Jiachong; Zhanhong Ma*		1
Pixel-level regression for UAV hyperspectral images: Deep learning-based quantitative inverse of wheat stripe rust disease index	Computers and Electronics in Agriculture	SCI	2023	Deng, Jie; Zhang, Xunhe; Yang, Ziqian; Zhou, Congying; Wang, Rui; Zhang, Kai; Lv, Xuan; Yang, Lujia; Wang, Zhifang; Li, Pengju; Zhanhong Ma*		1
RustQNet: Multimodal deep learning for quantitative inversion of wheat stripe rust disease index	Computers and Electronics in Agriculture	SCI	2024	Deng, Jie; Hong, Danfeng*;; Li, Chenyu; Yao, Jing; Yang, Ziqian; Zhang, Zhijian; Chanussot, Jocelyn;		1
Assessing macro disease index of wheat stripe rust based on segformer with complex background in the field	Sensors	SCI	2022	Deng, Jie; Lv, Xuan; Yang, Lujia; Zhao, Baoqiang; Zhou, Congying; Yang, Ziqian; Jiang, Jiarui; Ning, Ning; Zhang, Jinyu; Shi, Junzheng; Zhanhong Ma*		1
宁夏设施番茄病毒病病原鉴定	植物病理学报	中文核心	2020	邓杰; 王炜哲; 杨璐嘉; 马占鸿*;		1
Efficient wheat lodging detection using uav remote sensing images and an innovative multi-branch classification framework	Remote Sensing	SCI	2023	Zhang, Kai; Zhang, Rundong; Yang, Ziqian; Deng, Jie*; Abdullah, Ahsan; Zhou, Congying; Lv, Xuan; Wang, Rui; Ma, Zhanhong;		4
Using UAV hyperspectral imagery and deep learning for Object-Based quantitative inversion of Zanthoxylum rust disease index	International Journal of Applied Earth Observation and Geoinformation	SCI	2024	Zhang, Kai#; Deng, Jie#,*; Zhou, Congying; Liu, Jiangui; Lv, Xuan; Wang, Ying; Sun, Enhong; Liu, Yan; Ma, Zhanhong; Shang, Jiali*;		2
Effects of image dataset configuration on the accuracy of rice disease recognition based on convolution neural network	Frontiers in Plant Science	SCI	2022	Zhou, Huiru; Deng, Jie; Cai, Dingzhou; Lv, Xuan; Wu, Bo Ming;		2
Exploring the association between latent Plasmopara viticola infection and downy mildew epidemic in commercial vineyards: Application of qPCR assay	Plant Pathology	SCI	2023	Lujia Yang, Jie Deng, Bingyao Chu, Xuan Lv, Shuang Song, Yi Zhang, Qiuyu Sun, Zhanhong Ma;		2
Comparative transcriptomic insights into molecular mechanisms of the susceptibility wheat variety MX169 response to Puccinia striiformis f. sp. tritici (Pst) infection	Microbiology Spectrum	SCI	2024	Lv, Xuan; Deng, Jie; Zhou, Congying; Abdullah, Ahsan; Yang, Ziqian; Wang, Zhifang; Yang, Lujia; Zhao, Baoqiang; Li, Yuchen; Ma, Zhanhong;		2
Use of a real-time PCR method to quantify the primary infection of Plasmopara viticola in commercial vineyards	Phytopathology Research	SCI	2023	Yang, Lujia; Chu, Bingyao; Deng, Jie; Yuan, Kai; Sun, Qiuyu; Jiang, Caige; Ma, Zhanhong;		3
Adaptive high-quality sampling for winter wheat early mapping: A novel cascade index and machine learning approach	Smart Agricultural Technology	ESCI	2025	Zhang, Zhijan; Li, Chenyu; Deng, Jie; Chanussot, Jocelyn; Hong, Danfeng;		3
宁夏葡萄霜霉病菌致病型鉴定及葡萄品种抗性评价	植物保护学报	中文核心	2020	杨璐嘉; 初炳瑶; 邓杰; 何少清; 张怡; 马占鸿;		3
Assessing Susceptibility of Grapevine Cultivars to Latent Plasmopara viticola Infections Using the Molecular Disease Index	Phytopathology®	SCI	2025	Yang, Lujia; Chu, Bingyao; Deng, Jie; Shen, Zhaomeng; Sun, Qiuyu; Lv, Xuan; Zhan, Jiasui; Ma, Zhanhong;		3
Bridging Field Investigation and Sentinel 2 Satellite Image with UAV Remote Sensing for Yield Inversion of Chinese Pepper	International Conference on Guidance, Navigation and Control	SCI	2024	Wu, Yanan; Wang, Ying; Deng, Jie; Li, Yangguang; Zhang, Rundong;		3
Genetic connectivity shapes the population structure of Puccinia polysora in the pathogen’s winter-reproductive regions	Plant Disease	SCI	2025	Sun, Qiuyu; Gao, Jianmeng; Wang, Shuhe; Liu, Jie; Deng, Jie; Yang, Lujia; Ding, Mingliang; Da, Pu; Huang, Liqun; Shi, Junzheng;		5
UAV as a Bridge: Mapping Key Rice Growth Stage with Sentinel-2 Imagery and Novel Vegetation Indices	Remote Sensing	SCI	2025	Zhang, Jianping; Zhang, Rundong; Meng, Qi; Chen, Yanying; Deng, Jie; Chen, Bingtai;		5
Rapid detection of Puccinia striiformis f. sp. tritici from wheat stripe rust samples using recombinase polymerase amplification combined with multiple visualization methods	International Journal of Biological Macromolecules	SCI	2024	Lv, Xuan; Jiang, Jiarui; Yang, Ziqian; Lan, Sishu; Ma, Yue; Deng, Jie; Zhou, Congying; Wang, Zhifang; Li, Yuchen; Ma, Zhanhong;		6
A survey of sample-efficient deep learning for change detection in remote sensing: Tasks, strategies, and challenges	IEEE Geoscience and Remote Sensing Magazine	SCI	2025	Ding, Lei; Hong, Danfeng; Zhao, Maofan; Chen, Hongruixuan; Li, Chenyu; Deng, Jie; Yokoya, Naoto; Bruzzone, Lorenzo; Chanussot, Jocelyn;		6
RiceStageSeg: A Multimodal Benchmark Dataset for Semantic Segmentation of Rice Growth Stages	Remote Sensing	SCI	2025	Zhang, Jianping; Chen, Tailai; Li, Yizhe; Meng, Qi; Chen, Yanying; Deng, Jie; Sun, Enhong;		6

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