Research and Design on Domain-agriculture-crops Software Architecture Oriented Adaptive Model. - Huanliang Xu; Haiyan Jiang; Shougang Ren; Xiaojun Liu 003; Weixin Cao (CCTA, 2007)

Analysis of common canopy vegetation indices for indicating leaf nitrogen accumulations in wheat and rice. - Yan Zhu 005; Xia Yao; Yongchao Tian; Xiaojun Liu 003; Weixing Cao (Int. J. Appl. Earth Obs. Geoinformation, 2008)

Design and Realization of a VRGIS-Based Digital Agricultural Region Management System. - Xiaojun Liu 003; Yuou Zhang; Weixing Cao; Yan Zhu 005 (CCTA (1), 2010)

Using an Active-Optical Sensor to Develop an Optimal NDVI Dynamic Model for High-Yield Rice Production (Yangtze, China). - Xiaojun Liu 003; Richard B. Ferguson; Hengbiao Zheng; Qiang Cao 002; Yongchao Tian; Weixing Cao; Yan Zhu 005 (Sensors, 2017)

Comparison RGB Digital Camera with Active Canopy Sensor Based on UAV for Rice Nitrogen Status Monitoring. - Songyang Li; Xiaojun Liu 003; Yongchao Tian; Yan Zhu 005; Qiang Cao 002 (Agro-Geoinformatics, 2018)

Combining Color Indices and Textures of UAV-Based Digital Imagery for Rice LAI Estimation. - Songyang Li; Fei Yuan 004; Syed Tahir Ata-UI-Karim; Hengbiao Zheng; Tao Cheng 003; Xiaojun Liu 003; Yongchao Tian; Yan Zhu 005; Weixing Cao; Qiang Cao 002 (Remote. Sens., 2019)

Estimation of Rice Growth Parameters Based on Linear Mixed-Effect Model Using Multispectral Images from Fixed-Wing Unmanned Aerial Vehicles. - Yanyu Wang; Ke Zhang; Chunlan Tang; Qiang Cao 002; Yongchao Tian; Yan Zhu 005; Weixing Cao; Xiaojun Liu 003 (Remote. Sens., 2019)

Predicting Rice Grain Yield Based on Dynamic Changes in Vegetation Indexes during Early to Mid-Growth Stages. - Ke Zhang; Xiaokang Ge; Pengcheng Shen; Wanyu Li; Xiaojun Liu 003; Qiang Cao 002; Yan Zhu 005; Weixing Cao; Yongchao Tian (Remote. Sens., 2019)

Using a Portable Active Sensor to Monitor Growth Parameters and Predict Grain Yield of Winter Wheat. - Jiayi Zhang; Xia Liu; Yan Liang; Qiang Cao 002; Yongchao Tian; Yan Zhu 005; Weixing Cao; Xiaojun Liu 003 (Sensors, 2019)

Wheat Growth Monitoring and Yield Estimation based on Multi-Rotor Unmanned Aerial Vehicle. - Zhaopeng Fu; Jie Jiang 006; Yang Gao; Brian Krienke; Meng Wang; Kaitai Zhong; Qiang Cao 002; Yongchao Tian; Yan Zhu 005; Weixing Cao; Xiaojun Liu 003 (Remote. Sens., 2020)

Use of an Active Canopy Sensor Mounted on an Unmanned Aerial Vehicle to Monitor the Growth and Nitrogen Status of Winter Wheat. - Jie Jiang 006; Zeyu Zhang; Qiang Cao 002; Yan Liang; Brian Krienke; Yongchao Tian; Yan Zhu 005; Weixing Cao; Xiaojun Liu 003 (Remote. Sens., 2020)

Mapping Winter Wheat with Combinations of Temporally Aggregated Sentinel-2 and Landsat-8 Data in Shandong Province, China. - Feng Xu; Zhaofu Li; Shuyu Zhang; Naitao Huang; Zongyao Quan; Wenmin Zhang; Xiaojun Liu 003; Xiaosan Jiang; Jianjun Pan; Alexander V. Prishchepov (Remote. Sens., 2020)

Using an Active Sensor to Develop New Critical Nitrogen Dilution Curve for Winter Wheat. - Jie Jiang 006; Cuicun Wang; Yu Wang; Qiang Cao 002; Yongchao Tian; Yan Zhu 005; Weixing Cao; Xiaojun Liu 003 (Sensors, 2020)

A Comparative Assessment of Measures of Leaf Nitrogen in Rice Using Two Leaf-Clip Meters. - Ke Zhang; Xiaojun Liu 003; Yong Ma; Rui Zhang; Qiang Cao 002; Yan Zhu 005; Weixing Cao; Yongchao Tian (Sensors, 2020)

Combining texture, color, and vegetation indices from fixed-wing UAS imagery to estimate wheat growth parameters using multivariate regression methods. - Jiayi Zhang; Xiaolei Qiu; Yueting Wu; Yan Zhu 005; Qiang Cao 002; Xiaojun Liu 003; Weixing Cao (Comput. Electron. Agric., 2021)

Evaluation of Three Portable Optical Sensors for Non-Destructive Diagnosis of Nitrogen Status in Winter Wheat. - Jie Jiang 006; Cuicun Wang; Hui Wang; Zhaopeng Fu; Qiang Cao 002; Yongchao Tian; Yan Zhu 005; Weixing Cao; Xiaojun Liu 003 (Sensors, 2021)

Advances in the estimations and applications of critical nitrogen dilution curve and nitrogen nutrition index of major cereal crops. A review. - Xinyu Li; Syed Tahir Ata-UI-Karim; Yue Li; Fei Yuan 004; Yuxin Miao; Kato Yoichiro; Tao Cheng 003; Liang Tang; Xingshuai Tian; Xiaojun Liu 003; Yongchao Tian; Yan Zhu 005; et al. (Comput. Electron. Agric., 2022)

Improving wheat yield prediction integrating proximal sensing and weather data with machine learning. - Guojie Ruan; Xinyu Li; Fei Yuan 004; Davide Cammarano; Syed Tahir Ata-UI-Karim; Xiaojun Liu 003; Yongchao Tian; Yan Zhu 005; Weixing Cao; Qiang Cao 002 (Comput. Electron. Agric., 2022)

Optimizing rice in-season nitrogen topdressing by coupling experimental and modeling data with machine learning algorithms. - Jiayi Zhang; Zhaopeng Fu; Ke Zhang; Jiayu Li; Qiang Cao 002; Yongchao Tian; Yan Zhu 005; Weixing Cao; Xiaojun Liu 003 (Comput. Electron. Agric., 2023)

Improving yield prediction based on spatio-temporal deep learning approaches for winter wheat: A case study in Jiangsu Province, China. - Peipei Chen; Yue Li; Xiaojun Liu 003; Yongchao Tian; Yan Zhu 005; Weixing Cao; Qiang Cao 002 (Comput. Electron. Agric., 2023)

Multi-source data fusion improved the potential of proximal fluorescence sensors in predicting nitrogen nutrition status across winter wheat growth stages. - Qing Liu; Cuicun Wang; Jie Jiang 006; Jiancheng Wu; Xue Wang 012; Qiang Cao 002; Yongchao Tian; Yan Zhu 005; Weixing Cao; Xiaojun Liu 003 (Comput. Electron. Agric., 2024)

Investigating data-driven approaches to optimize nitrogen recommendations for winter wheat. - Guojie Ruan; Davide Cammarano; Syed Tahir Ata-UI-Karim; Xiaojun Liu 003; Yongchao Tian; Yan Zhu 005; Weixing Cao; Qiang Cao 002 (Comput. Electron. Agric., 2024)

Screening drought-resistant and water-saving winter wheat varieties by predicting yields with multi-source UAV remote sensing data. - Xu Liu; Han Yang; Syed Tahir Ata-UI-Karim; Urs Schmidhalter; Yunzhou Qiao; Baodi Dong; Xiaojun Liu 003; Yongchao Tian; Yan Zhu 005; Weixing Cao; Qiang Cao 002 (Comput. Electron. Agric., 2025)