赵瑶池，女，副教授，硕士生导师，海南省高层次人才
研究方向：人工智能，计算机视觉，图像处理，大数据分析
联系方式：zhyc@hainanu.edu.cn
行业兼职情况：海南省科技评审与咨询专家，多个SCI/EI期刊的评审专家
1、主持或参与的项目
[1]海南省自然科学基金青年基金项目，619QN195，基于深度水平集的自然图像分割，2019-03至2021-12，在研，主持
[2]国家自然科学基金项目，**，海水养殖关键水环境因子与鱼体异常行为作用机制及其长期预测研究，2020-01至2013-12，38万，在研，核心参与
[3]海南省自然科学基金项目，**，基于DRLSE的视频对象智能分割和跟踪，2015-01至2016-06，已结题，主持
[4]海南省重点研发计划项目，ZDYF**，基于物联网的海南石斑鱼智慧养殖预测预警平台研究，2018-01至2019-12，30万，已结题，核心参与
[5]海南省高层次人才项目，620RC564，可信预测预警云计算平台在海水智慧养殖中的应用研究，2020-12至2023-12，在研，核心参与
[6]海南省教育厅，海南省教育厅高等学校科研资助项目，HNKY2014-18，基于计算机视觉的热带农作物虫害的智能检测与识别研究，2014-01至2015-09，1万元，已结题，主持
[7]海南大学南海海洋资源利用国家重点实验室导向课题，DX**，基于统计水平集活动轮廓模型的海域遥感目标智能检测与跟踪研究，2017-01至2018-12，已结题，核心参与
[8]南海海洋资源利用国家重点实验室开放项目子课题，**B，基于物联网的海洋珍稀鱼种养殖智能过程监控与管理的关键技术研究——以石斑育苗为例，2017-01至2018-12，已结题，核心参与
[9]海南省自然科学基金项目，614221，农作物病虫害智能监控、防治一体化专家系统中的关键技术研究，2014-01至2015-12，已结题，核心参与
[10]海南大学青年基金项目，qnjj1245，活动轮廓模型在运动目标检测中的应用研究，2012-01至2014-12，已结题，主持
[11]海南大学青年基金项目，qnjj1185，入侵视频监控中的智能分析在海南旅游安全中的应用研究，2010-10至2013-10，已结题，核心参与
2、代表性论文
[1]Yaochi Zhao; Shiguang Liu*; Zhuhua Hu; Yong Bai; Chong Shen; Xuequn Shi; Separate degree based Otsu and signed similarity driven level set for segmenting and counting anthrax spores,Computers and Electronics in Agriculture, 2020, 169: 105230. (SCI)
[2]Yaochi Zhao; Fusheng Lin; Shiguang Liu*; Zhuhua Hu; Hui Li; Yong Bai; Constrained-Focal-Loss based Deep Learning for Segmentation of Spores,IEEE Access, 2019, 7: 165029 -165038. (SCI)
[3]Zhuhua Hu; Yiran Zhang;Yaochi Zhao*; Mingshan Xie; Jiezhuo Zhong; Zhigang Tu; Juntao Liu; A Water Quality Prediction Method Based on the Deep LSTM Network Considering Correlation in Smart Mariculture,Sensors, 2019, 19(6): 1420. (SCI)
[4]Juntao Liu; Chuang Yu; Zhuhua Hu*;Yaochi Zhao*; Yong Bai; Mingshan Xie; Jian Luo; Accurate Prediction Scheme of Water Quality in Smart Mariculture With Deep Bi-S-SRU Learning Network,IEEE Access, 2020, 8: 24784-24798. (SCI)
[5]Chuang Yu; Xiang Fan; Zhuhua Hu*; Xin Xia;Yaochi Zhao*; Yong Bai; Ruoqing Li; Segmentation and Measurement Scheme for Fish Morphological Features Based on Mask R-CNN,Information Processing in Agriculture, 2020, 7, 523-534. (EI)
[6]赵瑶池;胡祝华*;基于对数相似度约束Otsu的自然场景病害果实图像分割;农业机械学报, 2015, 46(11): 9-15. (EI)
[7]赵瑶池;胡祝华*;白勇;曹凤勤;基于纹理差异度引导的DRLSE病虫害精准分割方法,农业机械学报, 2015, 46(02): 14~19. (EI)
[8]胡祝华;张逸然;赵瑶池*;曹路;白勇;黄梦醒;权重约束AdaBoost鱼眼识别及改进Hough圆变换瞳孔智能测量,农业工程学报, 2017, 33(23): 226-232. (EI)
[9]胡祝华;赵瑶池*;程杰仁;彭金莲;基于改进DRLSE的运动目标分割方法,浙江大学学报(工学版), 2014, 48(08): 107-114. (EI)
[10]Yaochi Zhao; Yu Wang; Jiaying Wang; Zhuhua Hu*; Fusheng Lin; Mengyao Xu; GMM and DRLSE Based Detection and Segmentation of Pests: A Case Study,International Conference on Multimedia Systems and Signal Processing(ICMSSP), 2019. (EI)
[11]Yaochi Zhao; Zhuhua Hu*; Yong Bai; Xingzi Liu; Multiple Visual Objects Segmentation Based on Adaptive Otsu and Improved DRLSE, 12th International Conference on Intelligent Computing (ICIC), 2016. (EI)
[12]Yaochi Zhao; Zhuhua Hu*; Xiong Yang; Yong Bai; Moving object detection method with temporal and spatial variation based on multi-info fusion, International Conference on Intelligent Computing (ICIC), 2014.（EI）
[13]Jiaying Wang;Yaochi Zhao;Yu Wang; Wei Chen; Hui Li; Yugui Han; Zhuhua Hu*; The Marked Watershed Algorithm Combined with Morphological Preprocessing Based Segmentation of Adherent Spore, International Conference on Communications,Signal Processing and Systems(CSPS), 2019. (EI)
[14]Xin Xia;Yaochi Zhao;Zhuhua Hu*; Zezhong Wang; Chuang Yu; Yong Bai; Fish Behavior Tracking Algorithm Based on Multi-Domain Deep Convolutional Neural Network,International Conference on Multimedia Systems and Signal Processing (ICMSSP), 2019. (EI)
[15]Zhuhua Hu; Boyi Liu*;Yaochi Zhao;Mengxing Huang; Yong Bai; Fusheng Lin; Recognition of Pyralidae Insects with Unmanned Monitoring Robot Based on Histogram Reverse Mapping and Invariant Moment,IEEE International Conference on Advanced Manufacturing (ICAM), 2018. (EI)
[16]Juntao Liu; Chuang Yu; Zhuhua Hu*;Yaochi Zhao;Xin Xia; Ruoqing Li; Automatic and Accurate Prediction of Key Water Quality Parameters Based on SRU Deep Learning in Mariculture,International Conference on Unmanned System Applications-Agriculture, Ecosystem & Environment (ICUSA-AEE), 2018. (EI)
3、授权专利
[1]胡祝华;赵瑶池;一种基于活动轮廓模型的植物病虫害检测方法,国内发明专利, ZL9.5
[2]胡祝华;赵瑶池;曹路;骆剑;一种鱼体形态拍摄装置,实用新型, ZL2017 2 **.0
4、著作
[1]胡祝华;赵瑶池;计算机视觉与机器学习技术在智慧农业中的应用研究,哈尔滨工业大学出版社, ISBN: 978-7-5603-8053-7, CIP核准号：，2019.3.
[2]Hu Zhuhua, Liu Boyi,Zhao Yaochi. Agricultural Robot for Intelligent Detection of Pyralidae Insects [J]. 2018.