Xinbing Wang

发表

Maize Grain Yield and Dry Matter Production Responses to Variations in Weather Conditions

Zhimin Wang, Ming Zhao, Wei Ma, 2016 .

Economic Optimal Nitrogen Rate Variability of Maize in Response to Soil and Weather Conditions: Implications for Site-Specific Nitrogen Management

Y. Miao, D. Mulla, G. Mi, 2020, Agronomy.

Weathering of microplastics and their enhancement on the retention of cadmium in coastal soil saturated with seawater

Ling Zhao, Xiaoyun Xu, Xinde Cao, 2022, Journal of Hazardous Materials.

Characterization of Root Morphology and Anatomical Structure of Spring Maize under Varying N Application Rates and Their Effects on Yield

Cong-feng Li, Jian Wang, Baoyuan Zhou, 2022, Agronomy.

Adjusting sowing date improves the photosynthetic capacity and grain yield by optimizing temperature condition around flowering of summer maize in the North China Plain

Ming Zhao, Cong-feng Li, Wei Ma, 2022, Frontiers in Plant Science.

Growth Stages Classification of Potato Crop Based on Analysis of Spectral Response and Variables Optimization

Hong Sun, Ning Liu, Minzan Li, 2020, Sensors.

Subsoiling practices change root distribution and increase post-anthesis dry matter accumulation and yield in summer maize

Zhimin Wang, Ming Zhao, Junzhu Ge, 2017, PloS one.

Constructing the active surface soil layer with ZVI-biochar amendment for simultaneous immobilization of As and Zn in both contaminated soil and groundwater: Continuous versus intermittent infiltration mode.

Xiaoyun Xu, Xinde Cao, Xinbing Wang, 2022, Journal of hazardous materials.

Soil Tillage Management Affects Maize Grain Yield by Regulating Spatial Distribution Coordination of Roots, Soil Moisture and Nitrogen Status

Ming Zhao, Wei Ma, Y. Yue, 2015, PloS one.

Characterization of Source–Sink Traits and Carbon Translocation in Maize Hybrids under High Plant Density

X. Gong, Cong-feng Li, Hua Qi, 2022, Agronomy.

Machine learning-based in-season nitrogen status diagnosis and side-dress nitrogen recommendation for corn

Hong Sun, Minzan Li, Krzysztof Kusnierek, 2021 .

Combining leaf fluorescence and active canopy reflectance sensing technologies to diagnose maize nitrogen status across growth stages

Y. Miao, Fei Yuan, K. Kusnierek, 2022, Precision Agriculture.

Developing a Proximal Active Canopy Sensor-based Precision Nitrogen Management Strategy for High-Yielding Rice

Xiaoyi Hu, Junjun Lu, Yuxin Miao, 2020, Remote. Sens..

Evaluating an unmanned aerial vehicle-based remote sensing system for estimation of rice nitrogen status

Wei Shi, Junjun Lu, Yanbo Huang, 2015, 2015 Fourth International Conference on Agro-Geoinformatics (Agro-geoinformatics).

Understanding the Physiological Mechanisms of Canopy Light Interception and Nitrogen Distribution Characteristics of Different Maize Varieties at Varying Nitrogen Application Levels

Ming Zhao, Junzhu Ge, Cong-feng Li, 2023, Agronomy.

Canopy Fluorescence Sensing for In-Season Maize Nitrogen Status Diagnosis

Krzysztof Kusnierek, Rui Dong, Fei Yuan, 2021, Remote. Sens..

Improving maize nitrogen nutrition index prediction using leaf fluorescence sensor combined with environmental and management variables

Yuxin Miao, Zhichao Chen, Rui Dong, 2021, Field Crops Research.

Developing Active Canopy Sensor-Based Precision Nitrogen Management Strategies for Maize in Northeast China

Xuezhi Yue, Yuxin Miao, David J. Mulla, 2019, Sustainability.

Evaluating model-based strategies for in-season nitrogen management of maize using weather data fusion

Y. Miao, W. Batchelor, K. Kusnierek, 2021 .

Estimating Plant Nitrogen Concentration of Maize Using a Leaf Fluorescence Sensor across Growth Stages

Yuxin Miao, Zhichao Chen, Xinbing Wang, 2020, Remote. Sens..

In-season prediction of maize stem lodging risk using an active canopy sensor

K. Kusnierek, R. Dong, Xinbing Wang, 2023, European Journal of Agronomy.

Field traffic-induced soil compaction under moderate machine-field conditions affects soil properties and maize yield on sandy loam soil

Mehmood Ali Noor, Weijian Zhang, H. Latifmanesh, 2023, Frontiers in Plant Science.

Xiaoyun Xu, Xinde Cao, Xinbing Wang, 2022, Journal of hazardous materials.

Minimizing active canopy sensor differences in nitrogen status diagnosis and in-season nitrogen recommendation for maize with multi-source data fusion and machine learning

K. Kusnierek, R. Dong, Xinbing Wang, 2023, Precision Agriculture.

An active canopy sensor-based in-season nitrogen recommendation strategy for maize to balance grain yield and lodging risk

K. Kusnierek, R. Dong, Xinbing Wang, 2024, European Journal of Agronomy.

In-season dynamic diagnosis of maize nitrogen status across the growing season by integrating proximal sensing and crop growth modeling

H. Zha, K. Kusnierek, Xinbing Wang, 2024, Comput. Electron. Agric..