个人简历

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
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
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

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""

近期论文

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