姓名:吴秋峰
性别:男
出生年月:1979-09-01
职称:副教授
办公电话:045155190960
工作单位:东北农业大学文理学院应用数学系
E-mail:qfwu@neau.edu.cn
开设研究生课程情况
课程编号 课程名称 课程级别 学时
近五年主持科研项目概况

[1]基于机器学习技术的玉米市场价格趋势预测研究 黑龙江省博士后基金 LBH-Z15020 已结题

[2] 农业病虫害智能预警与识别系统的研发与示范. 哈尔滨市科技创新人才研究专项资金(青年后备人才)2017RAQXJ096.已结题

[3]黑龙江省大豆产业技术协同创新推广体系大豆产业经济协同创新岗位专家

[4]基于深度学习的大豆病害识别方法研究(LBH-Q21069),黑龙江省博士后科研启动金,在研

[5]高等农业院校数据科学与大数据技术专业课程体系的构建与实践,黑龙江省规划重点课题,GJB1423425,在研

[6]大数据时代下数据可视化课程建设220801141225940, 教育部产学合作协同育人项目,在研

[7]基于小样本学习的大豆病害智能诊断方法研究,2023.01-2025.12  2023年度“优秀青年教师基础研究支持计划,在研

[8]绿色食品(绿色优质农产品)高质高效试点模式与路径优化研究,2024.09-2026.08 中国绿色食品发展中心委托项目([2024]0265号)


近五年项目获奖概况
近五年代表性著作、论文

[1]Keke Zhang, Qiufeng Wu*, Yiping Chen. Detecting soybean leaf disease from synthetic image using multi-feature fusion faster R-CNN. Computers and Electronics in Agriculture, 2021,183: 106064 (SCI 2区,IF=3.858)

[2] Gang Xu, Mei Yang, and Qiufeng Wu*, Sparse Subspace Clustering with Low-rank Transformation. Neural Computing and Applications 2019, 31(7):3141-3154  (SCI 2区,IF=4.215)

[3]Qiufeng Wu*, Yiping Chen, Jun Meng. DCGAN-Based Data Augmentation for Tomato Leaf Disease Identification. IEEE ACCESS, 2020,8:98716-98728 (SCI2区, IF=4.098)

[4] Miaomiao Ji, Keke Zhang, Qiufeng Wu*. Multi-label learning for crop leaf diseases recognition and severity estimation based on convolutional neural networks. Soft Computing, 2020, 24(20):15327-15340 (SCI 3区,IF=2.784) 

[5]Keke Zhang, Qiufeng Wu*, Anwang Liu, and Xiangyan Meng. Can Deep Learning Identify Tomato Leaf Disease?, Advances in Multimedia, vol. 2018, Article ID 6710865

[6] Miaomiao Ji, Lei Zhang, Qiufeng Wu*. Automatic Grape Leaf Diseases Identification via UnitedModel Based on Multiple Convolutional Neural Networks. Information Processing in Agriculture. 2020,7(3):418-426(EI期刊)

[7]Keke Zhang, Zheyuan Xu, Shoukun Dong,Canjian Cen, Qiufeng Wu*. Identification of peach leaf disease infected by Xanthomonas campestris with deep learning. Engineering in Agriculture, Environment and Food,2019,12: 388-396 (EI期刊)

[8]Qiufeng Wu*, Keke Zhang, Jun Meng.Identification of Soybean Leaf Diseases via Deep Learning.Journal of The Institution of Engineers (India): Series A,2019,100(4):659-666(EI检索)

[9]Keke Zhang, Lei Zhang, Qiufeng Wu*. Identification of Cherry Leaf Disease Infected by Podosphaera Pannosa via Convolutional Neural Network. International Journal of Agricultural and Environmental Information Systems.2019,10(2):98-110 (EI检索)

[10]Miaomiao Ji, Keke Zhang, Qiufeng Wu*. Introducing a Hybrid Model SAE-BP For Regression Analysis of Soil Temperature with Hyperspectral Data. International Journal of Ambient Computing and Intelligence, 2020,11(3):66-79  (EI检索)

[11]Qiufeng Wu*, Miaomiao Ji, Zhao Deng. Automatic Detection and Severity Assessment of Pepper Bacterial Spot Disease via MultiModels Based on Convolutional Neural Networks  International Journal of Agricultural and Environmental Information Systems.2020,11(2):29-43 (EI检索)

[12]Miaomiao Ji, Peng Liu, Zhao Deng, Qiufeng Wu.Prediction of national agricultural products wholesale price index in China using deep learning.Progress in Artificial Intelligence, 2022,11:121-129,(EI检索)

[13]Miaomiao Ji and Peng Liu, and Qiufeng Wu. Feasibility of Hybrid PSO-ANN Model for Identifying Soybean Diseases, International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) ,2021, 15(4): 1-16. ,EI检索,

[14] Jinchao Pan, Qiufeng Wu, Yiping Chen, Yixin Guo, Zhongkai Zhao. Identification of monocotyledons and dicotyledons leaves diseases with limited multi-category data by few-shot learning.Journal of Plant Diseases and Protection,2022, 129:651-663 10.1007/s41348-022-00585-9 SCI 4区 IF=1.928

[15] Jinchao Pan, Limei Xia, Qiufeng Wu, Yixin Guo,  Yiping Chen ,Xiaole Tian. Automatic strawberry leaf scorch severity estimation via faster R-CNN and few-shot learning. Ecological Informatics,2022, 70 : 101706  SCI3区 IF=3.142

[16]Yiping Chen, Qiufeng Wu. Grape leaf disease identification with sparse data via generative adversarial networks and convolutional neural networks. Precision Agriculture, 2023,24:235-253  https://doi.org/10.1007/s11119-022-09941-z SCI 1区 IF=5.385

[17]Jinchao Pan, Tengyu Wang, Qiufeng Wu. RiceNet: A Two Stage Machine Learning Method for Rice Disease Identification. Biosystems Engineering,2023,225::25-40 SCI 2区, IF=5.002

[18]Yiping Chen, Jinchao Pan, Qiufeng Wu. Apple leaf disease identification via improved CycleGAN and convolutional neural network. Soft Computing, 2023, 27:9773–9786 

近五年授权的专利等情况
其他获奖及荣誉称号