We stand with Ukraine

We stand with Ukraine

Yufei Liu

Orcid: 0000-0001-7027-8911

Affiliations:

Zhejiang University, College of Biosystems Engineering and Food Science, Hangzhou, China
Hokkaido University, Research Faculty of Agriculture, Vehicle Robotics Laboratory, Sapporo, Japan

According to our database¹, Yufei Liu authored at least 19 papers between 2016 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2025

Applications of deep learning in tea quality monitoring: a review.

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Artif. Intell. Rev., October, 2025

Development and Field Evaluation of a Radial Large-Stroke Adaptive End-Effector for Continuous Robotic Harvesting of Banana Fruits at Different Stalk Diameters.

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J. Field Robotics, September, 2025

2024

Robust Attitude Estimation for Low-Dynamic Vehicles Based on MEMS-IMU and External Acceleration Compensation.

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Sensors, July, 2024

Robust multiple obstacle tracking method based on depth aware OCSORT for agricultural robots.

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Comput. Electron. Agric., 2024

Determination and quantitative evaluation of early postharvest hidden damage in fresh strawberry fruit based on coupling of dynamic finite element method and response surface methodology.

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Comput. Electron. Agric., 2024

Detection of oilseed rape clubroot based on low-field nuclear magnetic resonance imaging.

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Comput. Electron. Agric., 2024

2023

Prior knowledge and active learning enable hybrid method for estimating leaf chlorophyll content from multi-scale canopy reflectance.

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Comput. Electron. Agric., November, 2023

Observability-Constrained Resampling-Free Cubature Kalman Filter for GNSS/INS with Measurement Outliers.

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Remote. Sens., September, 2023

Dynamic path planning method for headland turning of unmanned agricultural vehicles.

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Comput. Electron. Agric., March, 2023

Obstacle avoidance method based on double DQN for agricultural robots.

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Comput. Electron. Agric., 2023

2022

A hybrid model of ghost-convolution enlightened transformer for effective diagnosis of grape leaf disease and pest.

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J. King Saud Univ. Comput. Inf. Sci., 2022

Unmanned airboat technology and applications in environment and agriculture.

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Comput. Electron. Agric., 2022

2021

Crop Row Segmentation and Detection in Paddy Fields Based on Treble-Classification Otsu and Double-Dimensional Clustering Method.

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Remote. Sens., 2021

A Multi-Source Data Fusion Decision-Making Method for Disease and Pest Detection of Grape Foliage Based on ShuffleNet V2.

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Remote. Sens., 2021

Unmanned aerial vehicle-based field phenotyping of crop biomass using growth traits retrieved from PROSAIL model.

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Comput. Electron. Agric., 2021

2020

Vision-Based Moving Obstacle Detection and Tracking in Paddy Field Using Improved Yolov3 and Deep SORT.

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Liangliang Yang

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Sensors, 2020

2019

Research on Method of Farmland Obstacle Boundary Extraction in UAV Remote Sensing Images.

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Sensors, 2019

Development of a positioning system using UAV-based computer vision for an airboat navigation in paddy field.

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Lingguang Liang

Comput. Electron. Agric., 2019

2016

Wind direction-based path planning for an agricultural unmanned airboat navigation.

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Lingguang Liang

Proceedings of the 2016 IEEE/SICE International Symposium on System Integration, 2016

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