师资队伍
 

宋怀波

作者:         发布日期:2016-09-22     浏览次数:

     

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博士,教授

西北农林科技大学机械与电子工程学院 陕西省杨凌示范区西农路22号

邮编:712100 电话:029-87092391

传真:029-87092391

Email:songyangfeifei@163.com

个人简介

宋怀波,男,1980 年5月生,山东济宁人,工学博士,教授,博士生导师,农业工程学会高级会员、陕西省图形图像学会理事,中国农业工程学会畜牧工程分会第十届理事会理事,中国农学会农业监测预警分会理事、农业工程学会青年工作委员会委员,人工智能学会智能农业专委会会员,中国畜牧兽医学会信息技术分会会员、陕西省计算机学会会员。主要从事大型畜禽健康行为智能识别技术、农情信息获取及识别等方面的理论研究。先后主持国家自然科学基金青年项目,国家重点研发项目子课题,陕西省重点研发计划项目,陕西省自然科学基金,中央高校基本科研业务经费,国家863 项目子课题。在Biosystems Engineering, Computers and Electronics in Agriculture等期刊发表论文60余篇,其中SCI/EI收录期刊论文50余篇,登记软件著作权80余项,担任Optical engineering,Precision agriculture, Biosystems Engineering, Computers and Electronics in Agriculture等20余家杂志审稿人。

一.教育背景

2004.9-2009.6 山东大学机械学院,机械电子工程专业(硕博连读)

二.工作经历

2009.7-2012.12, 讲师,西北农林科技大学机电学院

2013.1-2019.12,副教授,西北农林科技大学机电学院

2020.1-至今,教授,西北农林科技大学机电学院

三.研究领域

大型畜禽健康行识别技术

高通量植株表型获取技术

农情信息获取技术

四.开设课程

长期从事数字图像处理、智能检测与控制和农业信息技术的教学与科研工作,先后承担本科生数字图像处理、机器视觉与图像分析、数据库原理、电视原理等课程,为硕士研究生讲授图像分析与机器视觉技术课程,参编“十二五”国家级规划教材《数字图像处理》教材1部,获陕西省教学成果一等奖1项。

五.学术成果及代表性文章

[1]Bo Jiang, Xuqiang Yin, Huaibo Song*. Single-stream long-term optical flow convolution network for action recognition of lameness dairy cow. Computers and Electronics in Agriculture, 2020(175), 105536:1-7. (Top)

[2]Dihua Wu, Qian Wu, Xuqiang Yin, Bo Jiang, Han Wang, Dongjian He, Huaibo Song*. Lameness detection of dairy cows based on the YOLOv3 deep learning algorithm and a relative step size characteristic vector. Biosystems Engineering, 189 (2020) 150-163.

[3]Dihua Wu, Xuqiang Yin, Bo Jiang, Mei Jiang, Zhenyu Li, Huaibo Song*. Detection of the respiratory rate of standing cows by combining the Deeplab V3+ semantic segmentation model with the phase-based video magnification algorithm. Biosystems Engineering, 192 (2020) 72-89.

[4]Mei Jiang, Qian Wu, Sashuang Sun, Yuying Shang,Huaibo Song*. Study of Dynamic Tracking Algorithms for Apples Under the Influence of Oscillation. IEEE ACCESS, 2020, (8):32966-32974

[5]Tong Li, Bo Jiang, Dihua Wu, Xuqiang Yin, Huaibo Song*. Tracking Multiple Target Cows’ Ruminant Mouth Areas Using Optical Flow and Inter-Frame Difference Methods. IEEE ACCESS, 2019,(7):185520-185531.

[6]Sashuang Sun, Mei Jiang, Dongjian He, Yan Long, Huaibo Song*. Recognition of Green Apples in an Orchard Environment by Combining the GrabCut Model and Ncut Algorithm. Biosystems Engineering, 2019(187):201-213

[7]Jiang Bo, Wu Qian, Yin Xuqiang, Wu Dihua, Huaibo Song*, He Dongjian. FLYOLOv3 Deep Learning for Key Parts of Dairy Cow Body Detection. Computers and Electronics in Agriculture, 2019(166):1-8.

[8]Bo Jiang, Huaibo Song*, Dongjian He. Lameness detection of dairy cows based on a double normal background statistical model. Computers and Electronics in Agriculture, 2019(158): 140-149.

[9]Mao Yanru, He Dongjian, Song Huaibo*. Automatic detection of ruminant cows’ mouth area during rumination based on machine vision and video analysis technology. International Journal of Agricultural and Biological Engineering, 2019(158): 140-149

[10]Chen Y J, He D J, Song H B*. Automatic monitoring method of cow ruminant behavior based on spatio-temporal context learning. Int J Agric & Biol Eng, 2018, 11(4): 179-185.

[11]Guo Y, He D*, Song H. Region detection of lesion area of knee based on colour edge detection and bilateral projection[J]. Biosystems Engineering, 2018.

[12]Wang X Y, Yang C H, Zhang J, Song H B*. Image dehazing based on dark channel prior and brightness enhancement for agricultural monitoring. Int J Agric & Biol Eng, 2018, 11(2): 170–176.

[13]Sun S, Wu Q, Jiao L, Long Y, Song H*. Recognition of Green Apples Based on Fuzzy Set Theory and Manifold Ranking Algorithm[J]. Optik, 2018, 165.

[14] Bairong Li, Yan Long, Huaibo Song*. Detection of green apples in natural scenes based on saliency theory and Gaussian curve fitting.International Journal of Agricultural and Biological Engineering, 2018,11(1): 192-198.

[15]Zhang Jiawei, Wang Xiuyuan, Yang Chenghai Zhang Jian, He Dongjian, Song Huaibo*. Image dehazing based on dark channel prior and brightness enhancement for agricultural remotesensing images from consumer-grade cameras. Computers and Electronics in Agriculture, 2018, 151: 196-206

[16]Leilei Niu, Weicong Zhou, Dandan Wang, Dongjian He, Haihui Zhang, Huaibo Song*.Extracting the symmetry axes of partially occluded single apples in natural scene using convex hull theory and shape context algorithm[J].Multimedia Tools and Applications.2017,76(12):14075-14089.

[17]Chen Y, He D, Fu Y, Song H B*. Intelligent monitoring method of cow ruminant behavior based on video analysis technology[J]. International Journal of Agricultural & Biological Engineering, 2017, 10(5):194-202.

[18]Zhang J, Yang C, Zhao B, Song H*. Crop Classification and LAI Estimation Using Original and Resolution-Reduced Images from Two Consumer-Grade Cameras[J]. Remote Sensing, 2017, 9(10):1054.

[19]Jian Zhang, Chenghai Yang, Huaibo Song, Wesley Clint Hoffmann, Dongyan Zhang, Guozhong Zhang.Evaluation of an Airborne Remote Sensing Platform Consisting of Two Consumer-Grade Cameras for Crop Identification[J].Remote Sensing.2016,8(3):257.

[20]Huaibo Song, Chenghai Yang*, Jian Zhang, Wesley Clint Hoffmann, Dongjian He, J. Alex Thomasson.Comparison of mosaicking techniques for airborne images from consumer-grade cameras[J].Journal of Applied Remote Sensing, 2016,10(1): 016030.

[21]Dandan Wang,Huaibo Song*,Zhihui Tie,Weiyuan Zhang,Dongjian He. Recognition and localization of occluded apples using K-means clustering algorithm and convex hull theory: a comparison,Multimedia Tools and Applications, 2016, 75(6): 3177-3198.

[22]Huaibo Song, Chenghai*, Jian Zhang, Wesley Clint Hoffmann, Dongjian He, J. Alex. Comparison of mosaicking techniques for airborne images from consumer-grade cameras. Journal of Applied Remote Sensing,2016,(10):016030-1-016030-10.

[23]Niu L, Zhou W, Wang D, He Dongjian, Zhang Haihui, Song Huaibo*. Extracting the symmetry axes of partially occluded single apples in natural scene using convex hull theory and shape context algorithm[J]. Multimedia Tools & Applications, 2016:1-15.

[24]Wang D, Song H*, Tie Z, et al. Recognition and localization of occluded apples using K-means clustering algorithm and convex hull theory: a comparison[J]. Multimedia Tools & Applications, 2016, 75(6):3177-3198.