岑海燕，浙江大学长聘教授，博士生导师，入选教育部长江学者特聘教授、国家级海外引进青年人才。现任浙江大学生物系统工程与食品科学学院副院长，兼任美国农业生物工程师学会(ASABE)ITSC 主席、国际植物表型网络（IPPN）单位代表、中国农业机械学会基础技术专委会副主任委员、中国作物学会智慧农业专委会副会长、Journal of the ASABE 和 Computers and Electronics in Agriculture 副主编等。其带领的农作物光学成像实验室长期从事植物表型信息光学感知研究，在作物表型光学成像机理、光学传感方法、图谱解析等方面取得了创新性成果。承担国家“十三五”重点研发计划课题、国家自然科学基金、浙江省重点研发计划等多项国家及省部级项目。累计发表SCI论文70余篇，参编中英文学术著作 5 部，获授权中国发明专利16项，美国发明专利1项。作为主要完成人荣获教育部科技进步一等奖、美国农业生物工程师学会（ASABE）学术年会优秀论文奖、大北农科技奖（智慧农业奖）、浙江省教学成果一等奖等奖励。 教育经历 2007-2011 密歇根州立大学 生物系统工程 博士 2005-2007 浙江大学 生物系统工程 硕士 2001-2005 浙江大学 农业工程 学士 工作经历 2022-至今 浙江大学 生物系统工程与食品科学学院 长聘教授 2015-2021 浙江大学 生物系统工程与食品科学学院 “计划”研究员 2012-2015 密歇根州立大学 食品科学与营养系（美国农业部农业科学研究院产后工程实验室) 博士后 获奖和荣誉 2020年，海外华人农业生物食品工程师协会（AOC）Outstanding Service Award 2019年，教育部科技进步一等奖 (4/15) 2019年，美国农业和生物工程师学会（ASABE）Outstanding Associate Editor Award 2019年，美国农业和生物工程师学会（ASABE）ASABE-ITSC Meeting Paper Award 2018年，浙江大学优秀新生之友 2018年，浙江大学先进工作者 2017年，浙江大学生物系统工程与食品科学学院先进工作者 2017年，第十届大北农科技奖(智慧农业奖) 2017年，科技部重点领域创新团队 2016年，浙江省151人才工程第二层次 2011年，美国密歇根州立大学农学与自然资源学院博士论文奖 2010年，美国密歇根州立大学生物系统与农业工程系杰出研究生奖 2010年，美国农业与生物工程师协会(ASABE)优秀论文奖 2010年，美国密歇根州立大学生物系统与农业工程系优秀学生奖学金 2009年，美国农业与生物工程师协会(ASABE)优秀论文奖 2009年，美国密歇根州立大学生物系统与农业工程系优秀学生奖学金 2007年，浙江省优秀研究生学位论文奖 2006年，美国华裔组织 “会英才奖” 2006年，浙江大学最高层次奖学金“竺可桢奖学金”

农业信息智能感知技术与装备 农作物光学成像 高通量植物表型分析 近地遥感技术

2018年08月-至今，海外华人农业生物与食品工程师协会 （AOCBFE）Board Member 2018年08月-至今，美国农业生物工程师学会（ASABE）“Machine Vision Committee”主席 2017年11月-至今，SCI收录农业工程最权威期刊Transactions of the ASABE 副主编，Applied Engineering in Agriculture副主编 2017年10月-至今，浙江省农业机械学会理事 2017年08月-至今，中国农业生物技术学会植物表型组学分会常务理事 2017年08月-至今，International Journal of Agricultural and Biological Engineering编委 2017年01月-至今，《浙江大学学报（农业与生命科学版）》编委 2017年01月-至今，中国农业机械学会基础技术分会委员 2016年11月-至今，中国人工智能学会会员 2016年10月-至今，EI收录农业信息领域主要期刊Information Processing in Agriculture 副主编 2016年10月-至今，中国农业机械学会会员 2015年07月-至今，中国农业工程学会会员

代表性论文 Mengqi Lyu, Xuqi Lu, Yutao Shen, Yuanyuan Tan, Liang Wan, Qingyao Shu, Yuhong He, Yong He, Haiyan Cen*. UAV time-series imagery with novel machine learning to estimate heading dates of rice accessions for breeding. Agricultural and Forest Meteorology, 2023, 341: 109646. Pengyao Xie, Ruiming Du, Zhihong Ma, Haiyan Cen*. Generating 3D multispectral point clouds of plants with fusion of snapshot spectral and RGB-D images. Plant Phenomics, 2023, 5: Article 0040. Zhihong Ma, Ruiming Du, Jiayang Xie, Dawei Sun, Hui Fang, Lixi Jiang, Haiyan Cen*. Phenotyping silique morphology in oilseed rape using skeletonization with hierarchical segmentation. Plant Phenomics, 2023, 5: 0027 Ruiming Du, Zhihong Ma, Pengyao Xie, Yong He, Haiyan Cen*. PST: Plant segmentation transformer for 3D point clouds of rapeseed plants at the podding stage. ISPRS Journal of Photogrammetry and Remote Sensing, 195, 380-392. 陈硕博，沈煜韬，谢鹏尧，陆旭琦，何勇，岑海燕*. 基于日光诱导叶绿素荧光的柑橘黄龙病原位诊断. 农业工程学报，2022，38(09):324-332. 万亮，杜晓月，陈硕博，于丰华，朱姜蓬，许童羽，何勇，岑海燕*. 基于无人机多源图谱融合的水稻稻穗表型监测. 农业工程学报，2022，38(09):162-170. Ahmed Islam ElManawy, Dawei Sun, Alwaseela Abdalla, Yueming Zhu, Haiyan Cen*. HSI-PP: A flexible open-source software for hyperspectral imaging-based plant phenotyping. Computers and Electronics in Agriculture. 2022, 200: 107248. Yueming Zhu, Alwaseela Abdalla, Zheng Tang, Haiyan Cen*. Improving rice nitrogen stress diagnosis by denoising strips in hyperspectral images via deep learning. Biosystems Engineering. 2022, 219: 165-176. Liang Wan, Weijun Zhou, Yong He, Thomas Cherico Wanger*,Haiyan Cen*. Combining transfer learning and hyperspectral reflectance analysis to assess leaf nitrogen concentration across different plant species datasets. Remote Sensing of Environment. 2022, 269: 112826. Liang Wan, Jiafei Zhang, Ying Xu, Yanbo Huang, Weijun Zhou, Lixi Jiang, Yong He, Haiyan Cen*. PROSDM: Applicability of PROSPECT model coupled with spectral derivatives and similarity metrics to retrieve leaf biochemical traits from bidirectional reflectance. Remote Sensing of Environment. 2022, 267: 112761. Liang Wan, Zheng Tang, Jiafei Zhang, Shuobo Chen, Weijun Zhou, Haiyan Cen*. Upscaling from leaf to canopy: Improved spectral indices for leaf biochemical traits estimation by minimizing the difference between leaf adaxial and abaxial surfaces. Field Crops Research. 2021, 274: 108330. Li Zhai, Liang Wan, Dawei Sun, Alwaseela Abdalla, Yueming Zhu, Xiaoran Li, Yong He, Haiyan Cen*. Stability evaluation of the PROSPECT model for leaf chlorophyll content retrieval. International Journal of Agricultural and Biological Engineering. 2021, 14(5): 189-198. Dawei Sun, Kelly Robbins, Nicolas Morales, Qingyao Shu, Haiyan Cen*. Advances in optical phenotyping of cereal crops. Trends in Plant Science. 2022, 27(2): 191-208. Dawei Sun, Yang Xu, Haiyan Cen*. Technology of the Month: Optical sensors: deciphering plant phenomics in breeding factories. Trends in Plant Science. 2022, 27(2): 209-210. Liang Wan, Jiafei Zhang, Xiaoya Dong, Xiaoyue Du, Jiangpeng Zhu, Dawei Sun, Yufei Liu, Yong He, Haiyan Cen*. Unmanned aerial vehicle-based field phenotyping of crop biomass using growth traits retrieved from PROSAIL model. Computers and Electronics in Agriculture. 2021,106304. Liang Wan†, Jiangpeng Zhu†, Xiaoyue Du, Jiafei Zhang, Xiongzhe Han, Xiongzhe,Weijun Zhou, Li Xiaopeng, Jianli Liu, Liang Fei, Yong He, Haiyan Cen*. A model for phenotyping crop fractional vegetation cover using imagery from unmanned aerial vehicles. Journal of Experimental Botany. 2021, 72(13): 4691-4707. Jiafei Zhang, Liang Wan, C. Igathinathane, Zhao Zhang, Ya Guo, Dawei Sun, Haiyan Cen*. Spatiotemporal Heterogeneity of Chlorophyll Content and Fluorescence Response Within Rice (Oryza sativa L.) Canopies Under Different Nitrogen Treatments. Frontiers in Plant Science. 2021, 12: 645977. 张佳菲，万亮，何勇，岑海燕. 基于快速叶绿素荧光技术的油菜冠层生化参数垂直异质性分析. 智慧农业，2021,3(1): 40-50. Zhihong Ma, Dawei Sun, Haixia Xu, Yueming Zhu, Yong He, Haiyan Cen*.Optimization of 3D Point Clouds of Oilseed Rape Plants Based on Time-of-Flight Cameras. Sensors. 2021, 21(2): 664. Dawei Sun, Haixia Xu, Haiyong Weng, Weijun Zhou, Yan Liang, Xiaoya Dong, Yong He, Haiyan Cen*. Optimal temporal-spatial fluorescence techniques for phenotyping nitrogen status in oilseed rape (Brassica napus L.). Journal of Experimental Botany. 2021, 71 (20): 6429-6443. Alwaseela Abdalla, Haiyan Cen*, Liang Wan, Khalid Mehmood, Yong He. Nutrient Status Diagnosis of Infield Oilseed Rape via Deep Learning-Enabled Dynamic Model. IEEE Transactions on Industrial Informatics. 2021, 17(6): 4379-4389. Z. Zhang, C. Igathinathane, J. Li, H. Cen, Y. Lu, P. Flores. Technology progress in mechanical harvest of fresh market apples. Computers and Electronics in Agriculture. 2020, 175: 105606. Liang Wan, Haiyan Cen*, Jiangpeng Zhu, Jiafei Zhang, Yueming Zhu, Dawei Sun, Xiaoyue Du, Li Zhai, Haiyong Weng, Yijian Li, Xiaoran Li, Yidan Bao, Jianyao Shou, Yong He. Grain yield prediction of rice using multi-temporal UAV-based RGB and multispectral images and model transfer – a case study of small farmlands in the South of China. Agricultural and Forest Meteorology. 2020, 291: 108096. 岑海燕*，朱月明，孙大伟，翟莉，万亮，麻志宏，刘子毅，何勇.深度学习在植物表型研究中的应用现状与展望. 农业工程学报，2020, 36(9): 1-16. Haiyong Weng, Yibing Zeng, Haiyan Cen*, Mubin He, Youqing Meng, Yu Liu, Liang Wan, Haixia Xu, Hongye Li, Hui Fang, Yong He.Characterization and detection of leaf photosynthesis response to citrus Huanglongbing from cool to hot seasons in two orchards. Transactions of the ASABE. 2020, 63(2): 501-512. Haixia Xu, Haiyan Cen*, Zhihong Ma, Liang Wan, Weijun Zhou, Yong He. Assessment of seed yield and quality of winter oilseed rape using chlorophyll fluorescence parameters of pods. Transactions of the ASABE. 2020, 63(2): 231-242. Renfu Lu, Robbe Van Beers, Wouter Saeys, Changying Li, Haiyan Cen. Measurement of optical properties of fruits and vegetables: a review. Postharvest Biology and Technology. 2020, 159: 111003. Xiaoyue Du, Liang Wan, Haiyan Cen, Shuobo Chen, Jiangpeng Zhu, Hongyan Wang, Yong He. Multi-temporal monitoring of leaf area index of rice under different nitrogen treatments using UAV images. International Journal of Precision Agricultural Aviation, 2020, 3(1): 7-12. 出版著作 Kirk Dolan, Haiyan Cen. “Parameter Estimation Methods for Determining Optical Properties of Foods”, In Light Scattering Technology for Food Property, Quality and Safety Assessment. FL, USA, CRS Press.，2016 Haiyan Cen, Renfu Lu, Nghia Nguyen-Do-Trong, Wouter Saeys. “Spatially-resolved Spectroscopic Technique for Measuring Optical Properties of Food”, In Light Scattering Technology for Food Property, Quality and Safety Assessment. Eds: Renfu Lu, 2016. Renfu Lu, Haiyan Cen. “Measurement of Food Optical Properties”, In Hyperspectral Imaging Technology in Food and Agriculture. Eds: Bosoon Park and Renfu Lu, 2015. Renfu Lu, Haiyan Cen. “Non-destructive Methods for Food Texture Assessment”, In Instrumental Assessment of Food Sensory Quality – A Practical Guide. Eds.: David Kilcast, Woodhead Publishing Limited, 2013.