Peer-reviewed International Journal Articles
- Li, S.; Yuan, F.; Ata-UI-Karim, S.T.; Zheng, H.; Cheng, T.; Liu, X.; Tian, Y.; Zhu, Y.; Cao, W.; Cao, Q. Combining Color Indices and Textures of UAV-Based Digital Imagery for Rice LAI Estimation. Remote Sensing 2019, 11, 1763. doi: 10.3390/rs11151763. (Q1, IF = 4.118)
- Li, S.; Ding, X.; Kuang, Q.; Ata-UI-Karim, S.T.; Cheng, T.; Liu, X.; Tian, Y.; Zhu, Y.; Cao, W.; Cao, Q. Potential of UAV-Based Active Sensing for Monitoring Rice Leaf Nitrogen Status. Frontiers in Plant Science 2018, 9. doi: 10.3389/fpls.2018.01834. (Q1, IF = 3.677)
- Zhang, K.; Liu, X.; Tahir Ata-Ul-Karim, S.; Lu, J.; Krienke, B.; Li, S.; Cao, Q.; Zhu, Y.; Cao, W.; Tian, Y. Development of Chlorophyll-Meter-Index-Based Dynamic Models for Evaluation of High-Yield Japonica Rice Production in Yangtze River Reaches. Agronomy 2019, 9, 106. doi: 10.3390/agronomy9020106 (Q2, IF = 1.419)
International Conference Proceedings
- Li, S.; Liu, X.; Tian, Y.; Zhu, Y.; Cao, Q. Comparison RGB Digital Camera with Active Canopy Sensor Based on UAV for Rice Nitrogen Status Monitoring. In 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), Hangzhou China; 2018; pp. 16, doi: 10.1109/Agro-Geoinformatics.2018.8476066.
- Li, S.; Cao, Q.; Liu, X.; Tian, Y.; Zhu, Y. Using a UAV-based active canopy sensor to estimate rice nitrogen status. In 14th International Conference on Precision Agriculture, Montreal, Canada; 2018; p. 4, url: tinyurl.com/y8t8qajn.
Peer-reviewed Journal Articles in Chinese
- Tian, X.; Li, S.; Zhang, Y.; Liu, X.; Tian, Y.; Zhu, Y.; Cao, W.; Cao, Q. Estimation of nitrogen fertilizer requirement of winter wheat based on critical nitrogen dilution curve. Journal of Triticeae Crops 2019. (Accepted, To be published)
田兴帅; 李松阳; 张羽; 刘小军; 田永超; 朱艳; 曹卫星; 曹强. 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》 2019. (已录用，待刊载)
