王伟

  教授/博士生导师，致力于农产品/食品品质安全智能检测技术、仪器和装备研制工作。主持国家级项目 7 项，省部级项目4 项，横向课题 3 项。现正主持国家自然科学基金面上项目 1 项、“十四五”国家质量基础设施(NQI)专项子课题1项。主持完成“十三五” 国家重点研发计划课题 1 项、国家自然科学基金面上项目 1 项、 “十二五”国家科技支撑计划课题 1 项、公益性农业行业科技专项课题 1 项、江西省 2011 协同创新项目 2 项、山东省科技计划项目 1 项、国家 863 高技术计划重点项目子课题 2 项等；参加国家级科研项目多项。研究成果被科技部推荐参加“十二五国家科技创新成就展”，并被国际近红外光谱理事会官方通讯 NIR news 约稿刊登。截至目前，累计发表科研论文 120余 篇，第一/通讯作者 SCI/EI 论文90余篇。出版教材和专著 6 本。第一发明人获准国家发明专利 14 项、实用新型 14 项。发布团体标准 4 项。获中国粮油学会科学技术奖三等奖（第 1 完成人，2018）、中国颗粒学会科技进步二等奖（第 4 完成人，2018），教育部高等学校科学技术奖 2 等奖 1 项（第 6 完成人，2014 年），北京市科学技术奖二等奖（第 8 完成人，2015），中华农业科技奖科研成果一等奖 1 项（第 8 完成人，2015 年），教育部高等学校科学技术进步奖一等奖（第 11 完成人，2017），中国机械工业科学技术奖三等奖 1 项（第 8 完成人，2008 年）。2020 年被评为中国农业大学优秀教师。

教学方面，除了将传授知识作为课堂核心，还将学生思想教育、科研实践、创新创业融入课堂，激励他们始终保持一颗上进的心，做到个人、集体和社会兼顾。科研方面，致力于谷物、油料作物、果蔬、禽蛋、肉类等农产品和食品品质与安全无损伤检测技术和装备研制工作，主持“十三五”国家重点研发计划项目和国家自然科学基金面上项目课题各1项，主持完成“十二五”国家科技支撑计划课题、公益性农业行业科技专项课题、山东省科技计划项目各1项；主持完成江西省2011协同创新项目2项，中央高校基本科研业务费专项资金项目2项，国家863高技术计划重点项目子课题2项，参加国家级科研项目多项。社会服务方面，在四川雅安市石棉县建设教授工作站并担任站长，致力特色水果产后加工设备及生产线建设。开创研制全国首台八月瓜皮肉自动分离设备，解决时令水果即时规模加工，带动后续深加工产业发展。单线加工能力6吨/h，5线并行可达30吨/h。该工作站以服务于地方新农村建设、提升当地经济效益和农户增收为目标。作为平谷教授工作站骨干成员和中国农大科研院驻平谷区科技特派员，依托中国农大平谷生态农业智能装备教授工作站，结合地方急需和所带领团队特长，主持平谷大桃和苹果糖度重量分级分选生产线建设，适用于蟠桃、油桃、毛桃和苹果，5线并行生产能力可达18吨/h。

全国食品质量控制与管理标准化技术委员会委员；

中国机械工程学会包装与食品工程分会理事；

国家市场监管总局食品补充检验方法和快检方法评审专家；

科技部、北京市科委、中关村科技园项目评审专家；

教育部学位中心全国博士学位论文抽检通讯评议专家；

中国机械工程学会高级会员；

副主编 (Associate Editor), Journal of the ASABE,

副主编 (Associate Editor), Applied Engineering in Agriculture,

编委(Member of Editorial board), Agriculture

      担任Biosensors and bioelectronics (B&B),Food engineering reviews,  Food chemistry,   Food control, Sensors and actuators B, Journal of food engineering,Innovative food science and emerging technologies, Trends in food science & technology, Meat Science, LWT-Food science & technology,  RSC (Royal society of chemistry) advances,  CRC Press,  CAB Reviews,  Food analytical methods,  British poultry science,SpectrochimicaActa Part A: molecular and biomolecular spectroscopy,Biosystems engineering,  Transactions of the ASABE,  Food and agricultural immunology,  Journal of innovative optical health sciences,  Infrared physics and technology,  Analytical methods,  International Journal of Food Engineering等80余SCI期刊的审稿人。

智能检测技术与仪器；

信息与图像处理技术；

农产品和食品无损检测技术与装备；

机器人、无人车与无人机的农业开发与应用技术等。

本科生课程：近十年课程数据
研究生课程：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
Spatio-temporal patterns of Aspergillus flavus infection and aflatoxin B1 biosynthesis on maize kernels probed by SWIR hyperspectral imaging and synchrotron FTIR microspectroscopy	Food Chemistry	SCI	2022	Yao Lu	China Agricultural University	14/14(通讯)
Evaluation of deep learning algorithm technique based on expressible fluid measurements in broiler breast fillets with the woody breast condition	Journal of Food Engineering	SCI	2021	Yang Y	China Agriculture University	2/7（通讯）
Evaluation and classification of five cereal fungi on culture medium using Visible/Near-Infrared (Vis/NIR) hyperspectral imaging	Infrared Physics & Technology	SCI	2020	Yao Lu	China Agriculture University	2/6（通讯）
Classifying maize kernels naturally infected by fungi using near-infrared hyperspectral imaging	Infrared Physics & Technology	SCI	2020	Chu X	China Agriculture University	2/6（通讯）
Prediction of Quality Traits and Grades of Intact Chicken Breast Fillets by Hyperspectral Imaging	British Poultry Science	SCI	2020	Yang Y	China Agricultural University	2(通讯)
Integration of spectral and textural features of visible and near-infrared hyperspectral imaging for differentiating between normal and white striping broiler breast meat	Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy	SCI	2019	Jiang H	China Agriculture University	4/6（通讯）
Hyperspectral imaging for a rapid detection and visualization of duck meat adulteration in beef	Food Analytical Methods	SCI	2019	Jiang H	China Agriculture University	2/6（通讯）
Utilising near-infrared hyperspectral imaging to detect low-level peanut powder contamination of whole wheat flour	Biosystems Engineering	SCI	2019	Zhao X	China Agriculture University	2/6（通讯）
Essential processing methods of hyperspectral images of agricultural and food products	Chemometrics and Intelligent Laboratory Systems	SCI	2019	Jia B	China Agricultural University	2(通讯)
Detection of mycotoxins and toxigenic fungi in cereal grains using vibrational spectroscopic techniques: A review	World Mycotoxin Journal	SCI	2019	Jia B	China Agricultural University	2(通讯)
Feasibility of the Detection of Carrageenan Adulteration in Chicken Meat Using Visible/Near-Infrared (Vis/NIR) Hyperspectral Imaging	Applied Sciences	SCI	2019	Zhang Y	China Agricultural University	3(通讯)
基于可见/近红外高光谱的八角茴香与莽草无损鉴别	农业机械学报	EI	2019	王伟	中国农业大学	1(通讯)
基于高光谱成像的生鲜鸡肉糜中大豆蛋白含量检测	农业机械学报	EI	2019	王伟	中国农业大学	1(通讯)
Rapid Classification of Intact Chicken Breast Fillets by Predicting Principal Component Score of Quality Traits with Visible/Near-Infrared Spectroscopy	Food Chemistry	SCI	2018	Yang Y	China Agriculture University	4/6（通讯）
Tenderness classification of fresh broiler breast fillets using visible and near-infrared hyperspectral imaging	Meat Science	SCI	2018	Jiang, H	China Agriculture University	4/6（通讯）
Quality assessment of Intact Chicken Breast Fillets Using Factor Analysis with Vis/NIR Spectroscopy	Food Analytical Methods	SCI	2018	Yang Y	China Agriculture University	4/7（通讯）
Utilization of visible/near-infrared hyperspectral images to classify aflatoxin B1 contaminated maize kernels	Biosystems Engineering	SCI	2018	Kimuli D	China Agriculture University	2/6（通讯）
Application of SWIR hyperspectral imaging and chemometrics for identification of aflatoxin B1 contaminated maize kernels	Infrared Physics & Technology	SCI	2018	Kimuli D	China Agricultural University	2(通讯)
Non-destructive Assessment of Final Color and pH Attributes of Broiler Breast Fillets Using Visible and Near-Infrared Hyperspectral Imaging: A Preliminary Study	Infrared Physics & Technology	SCI	2018	Jiang H	China Agricultural University	4(通讯)
Using a Combination of Spectral and Textural Data to Measure Water-Holding Capacity in Fresh Chicken Breast Fillets	Applied Sciences	SCI	2018	Jia B	China Agricultural University	2(通讯)
Evaluation of Near-Infrared Hyperspectral Imaging for Detection of Peanut and Walnut Powders in Whole Wheat Flour	Applied Sciences	SCI	2018	Zhao X	China Agricultural University	2(通讯)
Visible and Near-Infrared Hyperspectral Imaging for Cooking Loss Classification of Fresh Broiler Breast Fillets	Applied Sciences	SCI	2018	Jiang H	China Agricultural University	2(通讯)
Growth Identification of Aspergillus flavus and Aspergillus parasiticus by Visible/Near-Infrared Hyperspectral Imaging	Applied Sciences	SCI	2018	Chu X	China Agricultural University	2(通讯)
usion of Spectra and Texture Data of Hyperspectral Imaging for the Prediction of the Water-Holding Capacity of Fresh Chicken Breast Fillets	Applied Sciences	SCI	2018	Yang Y	China Agricultural University	2(通讯)
Evaluation of growth characteristics of Aspergillus parasiticus inoculated in different culture media by shortwave infrared (SWIR) hyperspectral imaging	Journal of Innovative Optical Health Sciences	SCI	2018	Chu X	China Agricultural University	2(通讯)
Identifying camellia oil adulteration with selected vegetable oils by Characteristic Near-Infrared Spectral Regions	Journal of Innovative Optical Health Sciences	SCI	2018	Chu X	China Agricultural University	2(通讯)
基于近红外光谱快速定量检测面粉中曲酸的方法建立	食品科学	EI	2018	赵昕	中国农业大学	2(通讯)
Prediction of pH of fresh chicken breast fillets by vnir hyperspectral imaging	Journal of Food Engineering	SCI	2017	Jia Beibei	China Agricultural University	4(通讯)
Predicting Color Traits of Intact Broiler Breast Fillets Using Visible and Near-Infrared Spectroscopy	Food Analytical Methods	SCI	2017	Jiang H	China Agricultural University	4(通讯)
Electrical Impedance Spectroscopy for Quality Assessment of Meat and Fish: A Review on Basic Principles, Measurement Methods, and Recent Advances	Journal of Food Quality	SCI	2017	Zhao X	China Agricultural University	2(通讯)
Evaluation of factors in development of Vis/NIR spectroscopy models for discriminating PSE, DFD, and normal broiler breast meat	British Poultry Science	SCI	2017	Jiang H	China Agricultural University	4(通讯)
A review of technology development process of a typical shrimp peeling machine	Journal of Advanced Mechanical Design Systems & Manufacturing	SCI	2015	Zhao L	China Agricultural University	3(通讯)
Rapid Detection Method of Moldy Maize Kernels Based on Color Feature	Advances in Mechanical Engineering	SCI	2014	Chu X	China Agricultural University	3(通讯)
Nondestructive Evaluation of Welding Crack Defects in Structural Component Of Track Crane Using Acoustic Emission Technique	Intelligent Automation & Soft Computing	SCI	2012	Wang W	China Agricultural University	1
基于变幅油缸油压的汽车起重机防倾翻检测方法	机械工程学报	EI	2012	王伟	中国农业大学	1(通讯)

软件著作 专利