Yuzhen Lu

According to our database, Yuzhen Lu authored at least 31 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Classification of Urban Surface Elements by Combining Multisource Data and Ontology.

Ling Zhu, Yuzhen Lu, YeWen Fan

Remote. Sens., January, 2024

Synthetic data augmentation by diffusion probabilistic models to enhance weed recognition.

Dong Chen, Xinda Qi, Yu Zheng, Yuzhen Lu, Yanbo Huang, Zhaojian Li

Comput. Electron. Agric., January, 2024

Weed database development: An updated survey of public weed datasets and cross-season weed detection adaptation.

Boyang Deng, Yuzhen Lu, Jiajun Xu

Ecol. Informatics, 2024

Public Computer Vision Datasets for Precision Livestock Farming: A Systematic Survey.

Anil Bhujel, Yibin Wang, Yuzhen Lu, Daniel Morris, Mukesh Dangol

CoRR, 2024

Prototyping and evaluation of a novel machine vision system for real-time, automated quality grading of sweetpotatoes.

Jiajun Xu, Yuzhen Lu

Comput. Electron. Agric., 2024

Field test and evaluation of an innovative vision-guided robotic cotton harvester.

Hussein Gharakhani, J. Alex Thomasson, Yuzhen Lu, K. Raja Reddy

Comput. Electron. Agric., 2024

Advancing sweetpotato quality assessment with hyperspectral imaging and explainable artificial intelligence.

Toukir Ahmed, Nuwan Wijewardane, Yuzhen Lu, Daniela S. Jones, Michael W. Kudenov, Cranos M. Williams, Arthur Villordon, Mohammed Kamruzzaman

Comput. Electron. Agric., 2024

2023

Integration and preliminary evaluation of a robotic cotton harvester prototype.

Hussein Gharakhani, J. Alex Thomasson, Yuzhen Lu

Comput. Electron. Agric., August, 2023

YOLOWeeds: A novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems.

Fengying Dang, Dong Chen, Yuzhen Lu, Zhaojian Li

Comput. Electron. Agric., February, 2023

2022

Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach.

Dong Chen, Xinda Qi, Yu Zheng, Yuzhen Lu, Zhaojian Li

CoRR, 2022

Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review.

Ebenezer Olaniyi, Dong Chen, Yuzhen Lu, Yanbo Huang

CoRR, 2022

Robust plant segmentation of color images based on image contrast optimization.

Yuzhen Lu, Sierra N. Young, Haifeng Wang, Nuwan Wijewardane

Comput. Electron. Agric., 2022

Hyperspectral imaging with chemometrics for non-destructive determination of cannabinoids in floral and leaf materials of industrial hemp (<i>Cannabis sativa</i> L.).

Yuzhen Lu, Xu Li, Sierra Young, Xin Li, Eric Linder, David Suchoff

Comput. Electron. Agric., 2022

Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review.

Yuzhen Lu, Dong Chen, Ebenezer Olaniyi, Yanbo Huang

Comput. Electron. Agric., 2022

Performance evaluation of deep transfer learning on multi-class identification of common weed species in cotton production systems.

Dong Chen, Yuzhen Lu, Zhaojian Li, Sierra N. Young

Comput. Electron. Agric., 2022

2021

Hyperspectral Imaging Combined with Machine Learning for the Detection of Fusiform Rust Disease Incidence in Loblolly Pine Seedlings.

Piyush Pandey, Kitt G. Payn, Yuzhen Lu, Austin J. Heine, Trevor D. Walker, Juan J. Acosta, Sierra N. Young

Remote. Sens., 2021

Performance Evaluation of Deep Transfer Learning on Multiclass Identification of Common Weed Species in Cotton Production Systems.

Dong Chen, Yuzhen Lu, Zhaojiang Li, Sierra N. Young

CoRR, 2021

2020

A survey of public datasets for computer vision tasks in precision agriculture.

Yuzhen Lu, Sierra N. Young

Comput. Electron. Agric., 2020

Enhancing chlorophyll fluorescence imaging under structured illumination with automatic vignetting correction for detection of chilling injury in cucumbers.

Yuzhen Lu, Renfu Lu

Comput. Electron. Agric., 2020

2019

Data-Based Approximate Policy Iteration for Optimal Course-Keeping Control of Marine Surface Vessels.

Yuming Bai, Yifan Liu, Qi-He Shan, Tieshan Li, Yuzhen Lu

Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

2018

Fast Bi-dimensional empirical mode decomposition as an image enhancement technique for fruit defect detection.

Yuzhen Lu, Renfu Lu

Comput. Electron. Agric., 2018

Marine Floating Raft Aquaculture Back Scattering Feature Analysis Based On ISAR Imagery.

Deyi Wang, Jianchao Fan, Min Han, Ping Guo, Yuzhen Lu

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2017

Out-of-focus Blur: Image De-blurring.

Yuzhen Lu

CoRR, 2017

Simplified gating in long short-term memory (LSTM) recurrent neural networks.

Yuzhen Lu, Fathi M. Salem

Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017

2016

Empirical Evaluation of A New Approach to Simplifying Long Short-term Memory (LSTM).

Yuzhen Lu

CoRR, 2016

Food Image Recognition by Using Convolutional Neural Networks (CNNs).

Yuzhen Lu

CoRR, 2016

Fast demodulation of pattern images by spiral phase transform in structured-illumination reflectance imaging for detection of bruises in apples.

Yuzhen Lu, Richard Li, Renfu Lu

Comput. Electron. Agric., 2016

2012

Multivariate Isotonic Regression under Tree Semi-order Restrictions and Test in Multivariate Normal Distribution.

Yuzhen Lu, Pu Dong, Qing Li

Proceedings of the Neural Information Processing - 19th International Conference, 2012

2009

A Trust Discovery Model Based on Weighted Closeness.

Junfeng Tian, Yuzhen Lu, Peng Yuan

Proceedings of the 10th International Symposium on Pervasive Systems, 2009

A weighted closeness-based trust combination model.

Junfeng Tian, Yuzhen Lu, Peng Yuan

Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, 2009

Security for Resource Allocation Based on Trust and Reputation in Computational Economy Model for Grid.

Junfeng Tian, Peng Yuan, Yuzhen Lu

Proceedings of the Fourth International Conference on Frontier of Computer Science and Technology, 2009