教育背景

2005.09-2009.07 成都理工大学 环境工程 本科 工学学士

2009.09-2014.12 浙江大学 农业遥感与信息技术 农学博士

         其中：2012.03-2014.04 澳大利亚联邦科学与工业研究组织（CSIRO）Land & Water 联合培养博士

  工作履历

2015.01-2017.04  加拿大McGill University 博士后/Research Associate

2017.05-2019.09  瑞典Swedish University of Agricultural Sciences 博士后

2019.11-至今        中国农业大学 土地科学与技术学院 副教授

  学术兼职

Global workgroup of Proximal Soil Sensing（WG-PSS） 学术委员会委员

  研究领域

1. 土壤高光谱

2. 近地土壤传感

3. 土壤计量学

4. 数字土壤制图

5. 农业遥感

  奖励荣誉

无

  主持项目

无

  学术成果

一、发表论文

2019年:

1. W Ji*, V Adamchuk, S Chen, A Mat Su, A Ismail, Q Gan, Z Shi, A Biswas. 2019. Simultaneous Measurement of Multiple Soil Properties through Proximal Sensor Fusion: A Case Study. Geoderma, 341: 111-128.

2. S Chen, D Xu, S Li, W Ji, M Yang, Y Zhou, B Hu, H Xu, Z Shi*. 2019. Monitoring soil organic carbon in alpine soils using in situ vis-NIR spectroscopy and a multilayer perceptron. Land Degradation & Development, https://doi.org/10.1002/ldr.3497.

2018年:

3. W Zou, W Ji, BC Si, & A Biswas*. 2018. Detecting nonlinearity in the spatial series of nitrous oxide emission by delay vector variance. Geoderma, 317: 23-31. *Contribution equally shared between two first authors.

4. B Sudarsan, W Ji, V Adamchuk & A Biswas*. 2018. Characterizing soil particle sizes using wavelet analysis of microscope images. Computers and Electronics in Agriculture, 148, 217-225.

5. S Chen, S Li, W Ma, W Ji, D Xu, Z Shi* & G Zhang. 2018. Rapid determination of soil classes in soil profiles using vis–NIR spectroscopy and multiple objectives mixed support vector classification. European Journal of Soil Science, DOI:10.1111/ejss.12715

2017年:

6. Y Zhang, A Biswas*, W Ji, V Adamchuk. 2017. Depth-specific prediction of soil properties in-situ using vis-NIR spectroscopy. Soil Science Society of America Journal, 81: 993-1004.

2016年:

7. W Ji, V Adamchuk*, A Biswas, N Dhawale, B Sudarsan, Y Zhang, R Viscarra Rossel, Z Shi. 2016. Assessment of soil properties in situ using a prototype portable MIR Spectrometer in two agricultural fields. Biosystem Engineering, 152: 14-27.

8. W Ji, M Lin, A Biswas*, B Si, H Chau, H Cresswell. 2016. Fractal behavior of soil water storage at multiple depths. Nonlinear Processes in Geophysics. 08: 23(4).

9. R Viscarra Rossel*, T Behrens, E Ben-Dor, […+36 authors…], W Ji. 2016. A global spectral library to characterize the world’s soil. Earth-Science Reviews, 155:198-230.

10. B Sudarsana, W Ji, A Biswas, V Adamchuk*. 2016. Assessing soil properties using microscope-based computer vision. Biosystem Engineering, 152: 41-50.

11. J Peng, W Ji, Z Ma, S Li, S Chen, L Zhou, Z Shi*. 2016. Predicting total salt and water-soluble salt ion concentrations in agricultural soils using portable visible near-infrared and mid-infrared spectrometers. Biosystems Engineering, 152: 94-103.

12. S Chen, J Peng, W Ji, Y Zhou, J He, Z Shi*. 2016. Study on the Characterization of VNIR-MIR Spectra and Prediction of Soil Organic Matter in Paddy Soil. Spectroscopy and Spectral Analysis, 36 (06): 1712-1716.

2015年:

13. W Ji, S Li, S Chen, Z Shi*, R Viscarra Rossel & A Mouazen. 2015. Prediction of soil attributes using the Chinese soil spectral library and standardized spectra recorded at field conditions. Soil & Tillage Research, 155: 492-500.

14. W Ji, R Viscarra Rossel, Z Shi. 2015. Improved estimates of organic carbon using proximally sensed vis-NIR spectra corrected by piecewise direct standardization. European Journal of Soil Science, 66(4): 670-678.

15. W Ji, R Viscarra Rossel, Z Shi. 2015. Accounting for the effects of water and the environment on proximally sensed vis-NIR spectra and their calibrations. European Journal of Soil Science, 66 (3): 555-565.

16. Z Shi*, W Ji, R Viscarra Rossel, et al. 2015. Prediction of soil organic matter using cluster locally weighted regression and the Chinese vis-NIR soil spectral library. European Journal of Soil Science, 66(4): 679-687.

17. S Li, W Ji, S Chen and Z Shi*. 2015. Potential of VIS-NIR-SWIR Spectroscopy from the Chinese Soil Spectral Library for Assessment of Nitrogen Fertilization Rates in the Paddy-Rice Region, China. Remote Sensing, 7(6): 7029-7043.

18. S Li,·Z Shi*, S Chen, W Ji, L Zhou,·Y Wu, R Webster.  2015. In Situ Measurements of Organic Carbon in Soil Profiles Using vis-NIR Spectroscopy on the Qinghai–Tibet Plateau. Environmental Science & Technology, 49(8): 4980-4987

2014年:

19. W Ji, Z Shi*, J Huang, S Li. 2014. In situ measurement of some soil properties in paddy soil using visible and near-infrared spectroscopy. PLoS ONE, 9(8): 1-11.

2012年:

20. 纪文君, 李曦, 李成学, 周银, 史舟*. 基于全谱数据挖掘技术的土壤有机质高光谱预测建模研究. 光谱学与光谱分析, 32(9): 2393-2398.

21. 纪文君, 史舟*, 周清, 周炼清. 几种不同类型土壤的VIS-NIR光谱特性及有机质相应波段. 红外与毫米波学报, 31(3): 277-282.

二、授权专利：

周炼清, 史舟, 田延峰, 纪文君. 利用全景环带摄影法快速预判土壤类型的装置和方法ZL201210172101.8

三、软件著作权：

1. 马自强，邱超，纪文君，史舟. 基于历史洪水资料的模糊聚类算法系统软件. 2013SR156490

2. 纪文君，马自强，刘丽雅，史舟. 基于野外原位测量光谱的土壤水分影响去除算法软件. 2014R11L026436

3. 滕洪芬，纪文君，姜志刚，史舟. 基于气象卫星数据的土壤降雨侵蚀因子计算软件. 2014SR045634

四、出版著作：

1. 土壤地面高光谱遥感原理与方法. 科学出版社, 2014, 参编.

2. W Ji and A Biswas. (2016) Soil-plant-water interaction in varying ecosystems: Current interactions and future predictions under changed climatic conditions. Chauhan and Bharti (Editors) Ecological Science and Environmental Issues, Apple Academic Press Inc. (CRC Press), Ontario, Canada. (专著章节)

3. Adamchuk, V, W Ji, R Viscarra Rossel, R Gebbers, and N Tremblay. (2018). Proximal soil and plant sensing. In: Precision Agriculture Basics, Chapter 9, 119-140, D.K Shannon and D. Clay, eds. Madison, Wisconsin: ASA-CSSA-SSSA. (专著章节)