个人简介：

杜瑞麒，男，中共党员，工学博士，副教授，硕士生导师。主要从事智慧农业、低空遥感及智能决策等领域研究。主持国家自然科学基金1项和参与国家重点研发计划等科研项目4项，近年来在国内外权威期刊发表学术论文29篇，其中SCI收录24篇，担任《International Journal of Applied Earth Observation and Geoinformation》《Geoderma》《Computers and Electronics in Agriculture》《International Soil And Water Conservation Research》《Agricultural Water Management》《Field Crops Research》等SCI期刊审稿人，邮箱：duruiqi@126.com。

研究领域：

聚焦农业遥感与智慧农业，围绕土壤-作物-水肥系统，结合无人机/卫星遥感、机器/深度学习、遥感机理/作物生长模型，开展土壤水肥盐、作物生长参数反演、产量预测与智能决策研究，具体研究方向如下：

1.无人机/卫星多源融合驱动的农田土壤-作物参数定量反演

2.智慧灌溉与氮素管理的智能决策体系构建

3.全球农业水文-生态环境监测及可持续管理

Researchgate主页：https://www.researchgate.net/profile/Ruiqi-Du-3

学习及工作经历：

2013.9-2017.6，内蒙古农业大学，农业水利工程，获工学学士学位

2018.9-2021.6，西北农林科技大学，水文水资源工程，获工学硕士学位

2021.9-2024.12，西北农林科技大学，农业水利工程，获工学博士学位

2025.1-2025.12，西安科技大学，测绘科学与技术学院，讲师

2026.1-至今，西安科技大学，测绘科学与技术学院，副教授

代表性学术成果：

1.TrSC2Y: A transfer-learning-based model from UAV hyper-spectra imagery for field-scale canola yield prediction by integrating DSSAT with PROSAIL,European Journal of Agronomy,2026.(中科院1区)

2.Development of an interference mitigation chlorophyll index for mitigating soil and canopy dependence to improve vegetation chlorophyll content monitoring, Remote sensing of Environment,2026.(中科院1区)

3.Improved estimation of irrigated field soil water (SWC) and salt content (SSC) from Sentinel-2 imagery by combining multi-dimensional spectra decomposition with ensemble learning,Computers and Electronics in Agriculture,2025.(中科院1区)

4.An intelligent decision-making framework for optimizing canola irrigation-nitrogen application schedule by DSSAT model and machine learning,Field Crops Research,2025. (中科院1区)

5.The daily soil water content monitoring of cropland in irrigation area using Sentinel-2/3 spatio-temporal fusion and machine learning,International Journal of Applied Earth Observation and Geoinformation,2024.(中科院1区)

6.Potential of solar-induced chlorophyll fluorescence (SIF) to access long-term dynamics of soil salinity using OCO-2 satellite data and machine learning method, Geoderma,2024.(中科院1区)

7.Estimation of winter canola growth parameter from UAV multi-angular spectral-texture information using stacking-based ensemble learning model.Computers and Electronics in Agriculture,2024.(中科院1区)

8.Combing transfer learning with the OPtical TRApezoid Model (OPTRAM) to diagnosis small-scale field soil moisture from hyperspectral data.Agricultural Water Management,2024.(中科院1区)

9.Timely monitoring of soil water-salt dynamics within cropland by hybrid spectral unmixing and machine learning models.International Soil and Water Conservation Research,2023.(中科院1区)

10.Incremental learning for crop growth parameters estimation and nitrogen diagnosis from hyperspectral data.Computers and Electronics in Agriculture,2023.(中科院1区)

11.Simultaneous estimation of surface soil moisture and salinity during irrigation with the moisture-salinity-dependent spectral response model.Agricultural Water Management,2022(中科院1区)

主要科研项目：

1.国家自然科学基金青年项目，南疆滴灌玉米响应水-氮-盐的低空遥感光谱表达与诊断（52509069），主持

2.国家自然科学基金面上项目，作物覆盖度及其热点效应对无人机遥感诊断土壤含盐量的影响（52279047），参与

3.国家自然科学基金面上项目“基于无人机光谱遥感的冬油菜水氮管理决策研究”（52179045），参与

4.“十四五”国家重点研发计划子课题，新疆微灌土壤水肥气热盐互作机制与作物高产优质调控技术（2022YFD1900400），参与

5.“十三五”国家重点研发计划子课题，多尺度水盐诊断与预测技术及方法（2017YFC0403302），参与

联系方式：

E-mail：duruiqi@126.com

欢迎具有遥感、地理学、地球科学等学科背景的同学来件联系，优秀者可推荐“双一流”高校和科研院所攻读博士学位。