Yufeng Ge
Orcid: 0000-0002-6460-0780
According to our database1,
Yufeng Ge
authored at least 33 papers
between 2016 and 2024.
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Bibliography
2024
Bagging Improves the Performance of Deep Learning-Based Semantic Segmentation with Limited Labeled Images: A Case Study of Crop Segmentation for High-Throughput Plant Phenotyping.
Sensors, June, 2024
Image Filtering to Improve Maize Tassel Detection Accuracy Using Machine Learning Algorithms.
Sensors, April, 2024
Evaluating drought stress response of poplar seedlings using a proximal sensing platform via multi-parameter phenotyping and two-stage machine learning.
Comput. Electron. Agric., 2024
Integrating UAV hyperspectral data and radiative transfer model simulation to quantitatively estimate maize leaf and canopy nitrogen content.
Int. J. Appl. Earth Obs. Geoinformation, 2024
2023
AICropCAM: Deploying classification, segmentation, detection, and counting deep-learning models for crop monitoring on the edge.
Comput. Electron. Agric., December, 2023
Intelligent detection of Multi-Class pitaya fruits in target picking row based on WGB-YOLO network.
Comput. Electron. Agric., May, 2023
Improved chlorophyll and water content estimations at leaf level with a hybrid radiative transfer and machine learning model.
Comput. Electron. Agric., March, 2023
Sensors, February, 2023
Faster and accurate green pepper detection using NSGA-II-based pruned YOLOv5l in the field environment.
Comput. Electron. Agric., February, 2023
CanopyCAM - an edge-computing sensing unit for continuous measurement of canopy cover percentage of dry edible beans.
Comput. Electron. Agric., 2023
Visualization of 3D Hyperspectral Soil Mapping Data via Autoencoder-based Clustering.
Proceedings of the IEEE International Conference on Big Data, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
2022
mmWave on a Farm: Channel Modeling for Wireless Agricultural Networks at Broadband Millimeter-Wave Frequency.
Dataset, September, 2022
Unmanned Aerial System-Based Data Ferrying over a Sensor Node Station Network in Maize.
Sensors, 2022
Correction: Demattê et al. The Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communication. Remote Sens. 2022. 14, 740.
Remote. Sens., 2022
The Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communication.
Remote. Sens., 2022
The role of digital health for post-surgery care of older patients with hip fracture: A scoping review.
Int. J. Medical Informatics, 2022
mmWave on a Farm: Channel Modeling for Wireless Agricultural Networks at Broadband Millimeter-Wave Frequency.
Proceedings of the 19th Annual IEEE International Conference on Sensing, 2022
2021
Early Detection of Encroaching Woody Juniperus virginiana and Its Classification in Multi-Species Forest Using UAS Imagery and Semantic Segmentation Algorithms.
Remote. Sens., 2021
2020
Robotics, 2020
2019
Sensors, 2019
Study on communication channel estimation by improved SOMP based on distributed compressed sensing.
EURASIP J. Wirel. Commun. Netw., 2019
Comput. Electron. Agric., 2019
Numerical analysis and validation of spray distributions disturbed by quad-rotor drone wake at different flight speeds.
Comput. Electron. Agric., 2019
Water effects on optical canopy sensing for late-season site-specific nitrogen management of maize.
Comput. Electron. Agric., 2019
NU-Spidercam: A large-scale, cable-driven, integrated sensing and robotic system for advanced phenotyping, remote sensing, and agronomic research.
Comput. Electron. Agric., 2019
<i>In vivo</i> human-like robotic phenotyping of leaf traits in maize and sorghum in greenhouse.
Comput. Electron. Agric., 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Sensors, 2018
A Novel LiDAR-Based Instrument for High-Throughput, 3D Measurement of Morphological Traits in Maize and Sorghum.
Sensors, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2016
Temporal dynamics of maize plant growth, water use, and leaf water content using automated high throughput RGB and hyperspectral imaging.
Comput. Electron. Agric., 2016
A multi-sensor system for high throughput field phenotyping in soybean and wheat breeding.
Comput. Electron. Agric., 2016