Browsing NIBIO Brage by Author "Miao, Yuxin"
Now showing items 1-5 of 5
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Canopy fluorescence sensing for in-season maize nitrogen status diagnosis
Dong, Rui; Miao, Yuxin; Wang, Xinbing; Yuan, Fei; Kusnierek, Krzysztof (Peer reviewed; Journal article, 2021-12-17)Accurate assessment of crop nitrogen (N) status and understanding the N demand are considered essential in precision N management. Chlorophyll fluorescence is unsusceptible to confounding signals from underlying bare soil ... -
Developing a proximal active canopy sensor-based precision nitrogen management strategy for high-yielding rice
Lu, Junjun; Miao, Yuxin; Shi, Wei; Li, Jingxin; Hu, Xiaoyi; Chen, Zhichao; Wang, Xinbing; Kusnierek, Krzysztof (Peer reviewed; Journal article, 2020-05-02)RapidSCAN is a portable active canopy sensor with red, red-edge, and near infrared spectral bands. The objective of this study is to develop and evaluate a RapidSCAN sensor-based precision nitrogen (N) management (PNM) ... -
Developing an Active Canopy Sensor-Based Integrated Precision Rice Management System for Improving Grain Yield and Quality, Nitrogen Use Efficiency, and Lodging Resistance
Lu, Junjun; Wang, Hongye; Miao, Yuxin; Zhao, Liqin; Zhao, Guangming; Cao, Qiang; Kusnierek, Krzysztof (Peer reviewed; Journal article, 2022-05-19)Active crop sensor-based precision nitrogen (N) management can significantly improve N use efficiency but generally does not increase crop yield. The objective of this research was to develop and evaluate an active canopy ... -
Economic optimal nitrogen rate variability of maize in response to soil and weather conditions: Implications for site-specific nitrogen management
Wang, Xinbing; Miao, Yuxin; Dong, Rui; Chen, Zhichao; Kusnierek, Krzysztof; Mi, Guohua; Mulla, David J. (Peer reviewed; Journal article, 2020-08-21)The dynamic interactions between soil, weather and crop management have considerable influences on crop yield within a region, and should be considered in optimizing nitrogen (N) management. The objectives of this study ... -
Improving Unmanned Aerial Vehicle Remote Sensing-Based Rice Nitrogen Nutrition Index Prediction with Machine Learning
Zha, Hainie; Miao, Yuxin; Wang, Tiantian; Li, Yue; Zhang, Jing; Sun, Weichao; Feng, Zhengqi; Kusnierek, Krzysztof (Peer reviewed; Journal article, 2020-01-08)Optimizing nitrogen (N) management in rice is crucial for China’s food security and sustainable agricultural development. Nondestructive crop growth monitoring based on remote sensing technologies can accurately assess ...