Sheng Wang

Orcid: 0000-0003-3385-3109

Affiliations:
  • Aarhus University, Aarhus, Denmark


According to our database1, Sheng Wang authored at least 19 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Unraveling the impact of environmental factors on wheat yield across the European Union via explainable machine learning.
Comput. Electron. Agric., 2026

Assessing in-season crop nitrogen status based on UAV multispectral imaging and AI-driven model optimization.
Comput. Electron. Agric., 2026

Multi-sensor assessment of phenology-based field-level cover cropping detection using satellite vegetation time series from Harmonized Landsat-8 and Sentinel-2, MODIS, and PlanetScope.
Int. J. Appl. Earth Obs. Geoinformation, 2026

CropCraft: Complete Structural Characterization of Crop Plants from Images.
Proceedings of the International Conference on 3D Visio, 2026

2025
Demeter: A Parametric Model of Crop Plant Morphology from the Real World.
CoRR, October, 2025

Addressing Crop Dormancy for Phenology-Based Field-Level Detection of Winter Wheat Planting Dates in the United States.
IEEE Trans. Geosci. Remote. Sens., 2025

Simulating Bidirectional Reflectance in Croplands With Various Crop Residue Cover by a Geometric Optical-Radiative Transfer Model.
IEEE Trans. Geosci. Remote. Sens., 2025

Integrating multi-angle and multi-scale remote sensing for precision nitrogen management in agriculture: A review.
Comput. Electron. Agric., 2025

Transfer learning for improved crop yield predictions in a cross-scale pathway: a case study for Brazilian national soybean.
Int. J. Appl. Earth Obs. Geoinformation, 2025

Demeter: A Parametric Model of Crop Plant Morphology from the Real World.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
CropCraft: Inverse Procedural Modeling for 3D Reconstruction of Crop Plants.
CoRR, 2024

Physical Property Understanding from Language-Embedded Feature Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Advancing Airborne Hyperspectral Data Processing and Applications for Sustainable Agriculture Using RTM-Based Machine Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Adaptive Transfer Learning for Plant Phenotyping.
CoRR, 2022

Distribution-Informed Neural Networks for Domain Adaptation Regression.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Evaluation of Four New Land Surface Temperature (LST) Products in the U.S. Corn Belt: ECOSTRESS, GOES-R, Landsat, and Sentinel-3.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Airborne hyperspectral imaging of nitrogen deficiency on crop traits and yield of maize by machine learning and radiative transfer modeling.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2018
Mapping Root-Zone Soil Moisture Using a Temperature-Vegetation Triangle Approach with an Unmanned Aerial System: Incorporating Surface Roughness from Structure from Motion.
Remote. Sens., 2018

2016
Comparison of temporal trends from multiple soil moisture data sets and precipitation: The implication of irrigation on regional soil moisture trend.
Int. J. Appl. Earth Obs. Geoinformation, 2016


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