澳门百乐门网址是什么

曹 强

发布人: 发布日期: 2018-08-08 浏览次数:


研究方向(Research Interests):精准氮素/水分管理、农业遥感、作物精确管理

办公地址(Address):江苏省南京市卫岗1号南京农业大学生科楼A5009

电话(Office Phone): +86 25 8439 9050

E-mail: qiangcao@njau.edu.cn

欢迎具有作物栽培学、植物营养学、遥感及GIS背景的同学报考研究生!

(拟报考同学请通过E-mail咨询相关事宜)

欢迎本科生联系SRT及毕业实习!

工作经历(Professional Experience):

  • 2017.12-至今:南京农业大学澳门百乐门网址是什么,副教授/硕士生导师,“钟山学者”学术新秀

  • 2017.8-2017.12:美国密西根州立大学,访问学者

  • 2014.6-2017.11:南京农业大学澳门百乐门网址是什么,讲师

教育经历(Education):

  • 2010.9-2014.6:中国农业大学,植物营养学,农学博士,导师:江荣风/苗宇新

  • 2007.9-2010.6:华南农业大学,土壤学,农学硕士,导师:张新明

  • 2003.9-2007.6:河北农业大学,环境科学,理学学士

教学经历(Teaching Experience):

  • 本科生课程:信息农业技术、信息农业技术实验、农业遥感原理与技术、仪器使用原理与技术、作物栽培学与耕作学实习

  • 研究生课程:精确农业(双语)、农业遥感原理与技术(全英)、高级作物信息学

科研项目(Research Projects):

  • 国家自然科学基金青年科学基金项目,31601222,基于时序植被指数的小麦氮素营养诊断模型研究,2017/01-2019/1219万元,结题,主持;

  • 南京农业大学中央高校基本科研业务费专项资金项目(国青项目配套),KJQN201725,基于时序植被指数的小麦氮素营养诊断模型研究,2017/01-2019/1210万元,结题,主持;

  • 国家重点研发计划“地面与航空高工效施药技术及智能化装备”,2016YFD0200702,研发与完善农业航空植保智能化装备关键部件,2016/01-2020/12,100万元,在研,子课题主持;

  • 江苏省基础研究计划(自然科学基金)——青年基金项目,BK20150663,基于无人机遥感的水稻氮素营养无损监测研究,2015/07-2018/06,20万元,结题,主持;

  • 南京农业大学中央高校基本科研业务费专项资金项目,KYZ201502,基于冠层传感器的水稻中后期氮肥精确推荐方法研究,2015/01-2017/12,20万元,结题,主持。

论文(Publications)

*第一或通讯作者*

  • Li, S., Yuan, F., Ata-UI-Karim, S. T., Zheng, H., Cheng, T., Liu, X., Tian, Y., Zhu, Y., Cao, W., and Cao, Q.*2019. Combining color indices and textures of UAV-based digital imagery for rice LAI estimation. Remote Sensing, 11(15), 1763. Doi: 10.3390/rs11151763 (IF5=5.001, Q2, 9/30)

  • Li, S., Ding, X., Kuang, Q., Ata-UI-Karim, S. T., Cheng, T., Liu., X., Tian, Y., Zhu, Y., Cao, W., and Cao, Q.*, 2018. Potential of UAV-based active sensing for monitoring rice leaf nitrogen status. Frontiers in Plant Science, 9: 1834. Doi: 10.3389/fpls.2018.01834 (IF5=5.207, Q1, 19/234)

  • Cao, Q., Miao, Y.*, Shen, J., Yuan, F., Cheng, S., and Cui, Z., 2018. Evaluating two Crop Circle active canopy sensors for in-season diagnosis of winter wheat nitrogen status. Agronomy, 8(10), 201. Doi: 10.3390/agronomy 8100201 (IF=2.603, Q1, 18/91)

  • Cao, Q., Miao, Y.*, Feng, G., Gao, X., Liu, B., Liu, Y., Li, F., Khosla, R., Mulla, D.J., and Zhang, F., 2017. Improving nitrogen use efficiency with minimal environmental risks using an active canopy sensor in a wheat-maize cropping system. Field Crops Research, 214: 365-372. Doi: 10.1016/j.fcr.2017.09.033 (IF5=4.816, Q1, 6/91)

  • Cao, Q., Miao, Y.*, Li, F., Lu, D., Gao, X., Liu, B., and Chen, X., 2017. Developing a new Crop Circle active canopy sensor - based precision nitrogen management strategy for winter wheat in North China Plain. Precision Agriculture, 18: 2-18. Doi: 10.1007/s11119-016-9456-7(IF5=4.298, Q1, 1/58)

  • Cao, Q., Miao, Y.*, Shen, J., Yu, W., Yuan, F., Cheng, S., Huang, S., Wang, H., Jiang, R., Yang, W., and Li H., 2016. Improving in-season estimation of rice yield potential and responsiveness to topdressing nitrogen application with Crop Circle active crop canopy sensor. Precision Agriculture, 17(2): 136-154. Doi: 10.1007/s11119-015-9412-y  (IF5=4.298, Q1, 1/58)

  • Cao, Q., Miao, Y.*, Feng, G., Gao, X., Li, F., Liu B., Yue, S., Cheng, S., Ustin, S., and Khosla, R., 2015. Active canopy sensing of winter wheat nitrogen status: an evaluation of two sensor systems. Computers and Electronics in Agriculture, 112: 54-67. Doi: 10.1016/j.compag.2014.08.012 (IF5=4.008, Q1, 5/58)

  • Cao, Q., Miao, Y.*, Wang, H., Huang, S., Cheng, S., Khosla, R. and Jiang, R., 2013. Non-destructive estimation of rice plant nitrogen status with Crop Circle multispectral active canopy sensor. Field Crops Research, 154: 133-144. Doi: 10.1016/j.fcr.2013.08.005 (IF5=4.816, Q1, 6/91)

  • Cao, Q., Cui, Z., Chen, X., Khosla, R., Dao, T. H., and Miao, Y.*, 2012.Quantifying spatial variability of indigenous nitrogen supply for precision nitrogen management in small scale farming. Precision Agriculture, 13: 45-61. Doi: 10.1007/s11119-011-9244-3 (IF5=4.298, Q1, 1/58)

  • 田兴帅, 李松阳, 张羽, 刘小军, 田永超, 朱艳, 曹卫星, 曹强*, 2019. 基于临界氮浓度稀释曲线的小麦氮肥需求量估测研究. 麦类作物学报39(9), 1112-1120. Doi: 10.7606/j.issn.1009-1041.2019.09.12

  • 项方林, 李鑫格, 马吉锋, 刘小军, 田永超, 朱艳, 曹卫星, 曹强*, 2020. 基于冠层时序植被指数的冬小麦产量预测研究. 中国农业科学. (已录用)

  • 杜宇笑, 李鑫格, 张羽, 程涛, 刘小军, 田永超, 朱艳, 曹卫星, 曹强*, 2020. 不同产量水平稻茬小麦氮素营养指标特征研究. 植物营养与肥料学报. Doi: 10.11674/zwyf.19498 (已录用)

  • 杜宇笑, 李鑫格, 王雪, 刘小军, 田永超, 朱艳, 曹卫星, 曹强*, 2020. 不同产量水平稻茬小麦氮素需求特征研究. 作物学报. (已录用)

  • 曹强, 田兴帅, 马吉锋, 姚霞, 刘小军, 田永超, 曹卫星, 朱艳*, 2020. 中国三大粮食作物临界氮浓度稀释曲线研究进展. 南京农业大学学报, 43(3), 392-402. Doi: 10.7685/jnau.201907005

*合作作者*

  • Jiang, J., Wang, C., Wang, Y., Cao, Q., Tian, Y., Zhu, Y., Cao, W., Liu, X.*, 2020. Using an active sensor to develop new critical nitrogen dilution curve for winter wheat. Sensors, 20(6), 1577. Doi: 10.3390/s20061577 (IF5=3.427, Q1)

  • Zhang, K., Yuan, Z., Yang, T., Lu, Z., Cao, Q., Tian, Y., Zhu, Y., Cao, W., Liu, X.*, 2020. Chlorophyll meter–based nitrogen fertilizer optimization algorithm and nitrogen nutrition index for in‐season fertilization of paddy rice. Agronomy Journal, Doi: 10.1002/agj2.20036 (IF5=2.095, Q2)

  • Fu, Z., Jiang, J., Gao, Y., Krienke, B., Wang, M., Zhong, K., Cao, Q., Tian, Y., Zhu, Y., Cao, W., Liu, X.*, 2020. Wheat growth monitoring and yield estimation based on multi-rotor unmanned aerial vehicle. Remote Sensing,12: 508. Doi: 10.3390/rs12030508 (IF5=5.001, Q2)

  • Zhang, K., Liu X., Ma, Y., Zhang, R., Cao, Q., Zhu, Y., Cao, W., Tian, Y.*, 2020. A comparative assessment of measures of leaf nitrogen in rice using two leaf-clip meters. Sensors, 20(1): 175. Doi: 10.3390/s20010175 (IF5=3.427, Q1)

  • Huang, S, Miao, Y.*, Yuan, F., Cao, Q., Ye, H., Lenz-Wiedemann, V., Bareth, G., 2019. In-season diagosis if rice nitrogen status using proximal fluorescence canopy sensor at different growth stages. Remote Sensing, 11(16): 1847. Doi: 10.3390/rs11161847 (IF5=5.001, Q2)

  • Wang, Y., Zhang, K., Tang, C., Cao, Q., Tian, Y., Zhu, Y., Cao, W., Liu, X.*, 2019. Estimation of rice growth parameters based on linear mixed-effect model using multispectral images from fxed-wing unmanned aerial vehicles. Remote Sensing, 11: 1371. Doi: 10.3390/rs11111371 (IF5=5.001, Q2)

  • Zhang, J., Liu, X., Liang, Y., Cao, Q., Tian, Y., Zhu, Y., Cao, W., Liu, X.*, 2019. Using a portable active sensor to monitor growth parameters and predict grain yield of winter wheat. Sensors, 19: 1108. Doi: 10.3390/s19051108 (IF5=3.427, Q1)

  • Lu, N., Zhou, J., Han, Z., Li, D., Cao, Q., Yao, X., Tian, Y., Zhu, Y., Cao, W., Cheng, T.*, 2019. Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low‑cost unmanned aerial vehicle system. Plant Methods, 15: 17. Doi: 10.1186/s13007-019-0402-3 (IF5=4.266, Q1)

  • Zhang, K., Liu, X., Ata-Ul-Karim, S. T., Lu, J., Krienke, B., Li, S., Cao, Q., Zhu, Y., Cao, W., Tian, Y.*, 2019. Development of chlorophyll-meter-index-based dynamic models for evaluation of high-yield Japonica rice production in Yangtze River Reaches. Agronomy, 9(2): 106. Doi: 10.3390/agronomy9020106 (IF=2.259, Q1)

  • Zhang, K., Ge, X., Shen, P., Li, W., Liu, X., Cao, Q., Zhu, Y., Cao, W., Tian, Y.*, 2019. Predicting rice grain yield based on dynamic changes in vegetation indexes during early to mid-growth stages. Remote Sensing, 11: 387. Doi: 10.3390/rs11040387 (IF5=5.001, Q2)

  • Xu, X., Ji, X., Jiang, J., Yao, X., Tian, Y., Zhu, Y., Cao, W., Cao, Q., Yang, H., Shi, Z., Cheng, T.*, 2018. Evaluation of one-class support vector classification for mapping the paddy rice planting area in Jiangsu Province of China from Landsat 8 OLI imagery. Remote Sensing, 10: 546. Doi:10.3390/rs10040546 (IF5=5.001, Q2)

  • Liu, X., Cao, Q., Yuan, Z., Liu, X., Wang, X., Tian, Y., Cao, W., Zhu, Y.*, 2018. Leaf area index based nitrogen diagnosis in irrigated lowland rice. Journal of Integrative Agriculture, 17: 111-121. Doi: 10.1016/S2095-3119(17)61714-3 (IF5=1.959, Q2)

  • Huang, S., Miao, Y.*, Cao, Q., Yao, Y., Zhao, G., Yu, W., Shen, J., Yu, K., Bareth, G., 2018.  A new critical nitrogen dilution curve for rice nitrogen status diagnosis in Northeast China. Pedosphere, 28(5): 814-822. Doi: 10.1016/S1002-0160(17)60392-8 (IF5=3.564, Q2)

  • Liu, X., Zhang, K., Zhang, Z., Cao, Q., Lv, Z., Yuan, Z., Tian, Y., Cao, W., Zhu, Y.*, 2017. Canopy chlorophyll density based index for estimating nitrogen status and predicting grain yield in rice. Frontiers in Plant Science, 8: 1829. Doi: 10.3389/fpls.2017.01829 (IF5=5.207, Q1)

  • Ata-Ul-Karim, S. T., Zhu, Y., Cao, Q., Rehmani, M. I. A., Cao, W., Tang, L.*, 2017. In-season assessment of grain protein and amylose content in rice using critical nitrogen dilution curve. European Journal of Agronomy, 90: 139-151. Doi: 10.1016/j.eja.2017.08.001 (IF5=4.373, Q1)

  • He, Z., Qiu, X., Ata-UI-Karim, S. T., Li, Y., Liu, X., Cao, Q., Zhu, Y., Cao, W., Tang, L.*, 2017. Development of critical nitrogen dilution curve of double cropping rice in south China. Frontiers in Plant Science, 8: 638. Doi: 10.3389/fpls.2017.00638 (IF5=5.207, Q1)

  • Liu, X., Ferguson, R. B., Zheng, H., Cao, Q., Tian, Y., Cao, W., Zhu, Y.*, 2017. Using an active-optical sensor to develop an optimal NDVI dynamic model for high-yielding rice production (Yangtze, China). Sensors, 17(4): 672. Doi:10.3390/s17040672 (IF5=3.427, Q1)

  • Huang, S., Miao, Y.*, Yuan, F., Gnyp, L. M., Yao, Y., Cao, Q., Wang, H., Lenz-Wiedemann, V., Bareth, G. 2017. Potential of RapidEye and WorldView-2 satellite data for improving rice nitrogen status monitoring at different growth stages. Remote sensing, 9(3): 277. Doi: 10.3390/rs9030227 (IF5=5.001, Q2)

  • Ata-Ul-Karim, S. T., Zhu, Y., Liu, X., Cao, Q., Tian, Y., Cao, W.*, 2017. Comparison of different critical nitrogen dilution curves for nitrogen diagnosis in rice. Scientific Reports, 7: 42679. Doi: 10.1038/srep42679 (IF5=4.576, Q1)

  • Ata-Ul-Karim, S. T., Cao, Q., Zhu, Y., Tang, L., Rehmani, M. I. A., Cao, W.*, 2016. Non-destructive assessment of plant nitrogen parameters using leaf chlorophyll measurements in rice. Frontiers in Plant Science, 7: 1829. Doi: 10.3389/fpls.2016.01829 (IF5=5.207, Q1)

  • Yuan, Z., Cao, Q., Zhang, K., Ata-Ul-Karim, S. T., Tian, Y., Zhu, Y., Cao, W., Liu, X.*, 2016. Optimal leaf positions for SPAD meter measurement in rice. Frontiers in Plant Science, 7: 719. Doi: 10.3389/fpls.2016.00719 (IF5=5.207, Q1)

  • Yuan, Z., Ata-Ul-Karim, S. T., Cao, Q., Lu Z., Cao, W., Zhu, Y., Liu, X.*, 2016. Indicators for diagnosing nitrogen status of rice based on chlorophyll meter readings. Field Crops Research, 185: 12-20. Doi: 10.1016/j.fcr.2015.10.003 (IF5=4.816, Q1)

  • Tilly, N.*, Hoffmeister, D., Cao, Q., Lenz-Wiedemann, V., Miao, Y., Bareth, G. 2015. Transferability of Models for Estimating Paddy Rice Biomass from Spatial Plant Height Data. Agriculture, 5: 538-560. Doi: 10.3390/agriculture5030538 (IF2019=2.072, Q2)

  • Tilly, N.*, Hoffmeister, D., Cao, Q., Huang, S., Lenz-Wiedemann, V., Miao, Y., Bareth, G. 2014. Multi-temporal Crop Surface Models: Accurate plant height measurement and biomass estimation with terrestrial laser scanning in paddy rice. Journal of Applied Remote Sensing, 8(1), 083671. Doi: 10.1117/1.JRS.8.083671 (IF5=1.301, Q4)

  • Yao, Y., Miao, Y.*, Cao, Q., Wang, H., Gnyp, L. M., Bareth, G., Khosla, R., Yang, W., Liu, F., Liu C. 2014. In-season estimation of rice nitrogen status with an active crop canopy sensor. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7: 4403-4413. Doi: 10.1109/JSTARS.2014.2322659 (IF5=3.909, Q2)

  • 江杰, 张泽宇, 曹强, 田永超, 朱艳, 曹卫星, 刘小军*, 2019. 基于消费级无人机搭载数码相机监测小麦长势状况研究. 南京农业大学学报, 42(4): 622-631.

  • 贺志远, 朱艳, 李艳大, 刘小军, 曹强, 曹卫星, 汤亮*, 2017. 中国南方双季稻氮营养指数及产量估算模型研究. 南京农业大学学报, 40(1): 11-19.

专利(Patents)

  • 曹强,李松阳,刘小军,程涛,田永超,朱艳,曹卫星. 一种基于无人机载主动冠层传感器的水稻氮素营养监测方法. 专利申请号:201811067606.1,申请日期:2018-09-18.



更新于20200630

Baidu
sogou