Hongwei Li

Orcid: 0000-0002-2121-8872

Affiliations:
  • Guangxi University, Nanning, China


According to our database1, Hongwei Li authored at least 12 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Near-point-of-care identification of mango fruit species via a cloud platform bridging smartphone and deep learning.
Eng. Appl. Artif. Intell., 2026

A lightweight deep learning model for synchronized crop stem detection and row segmentation at the seedling stage: Exploring their contribution to agricultural navigation line extraction.
Comput. Electron. Agric., 2026

CSLTSM-Net: A lightweight two-stream mixed neural network for chicken sound recognition.
Comput. Electron. Agric., 2026

2025
Optimizing edge-enabled system for detecting green passion fruits in complex natural orchards using lightweight deep learning model.
Comput. Electron. Agric., 2025

2024
Temporal multi-resolution hypergraph attention network for remaining useful life prediction of rolling bearings.
Reliab. Eng. Syst. Saf., 2024

Research on density grading of hybrid rice machine-transplanted blanket-seedlings based on multi-source unmanned aerial vehicle data and mechanized transplanting test.
Comput. Electron. Agric., 2024

A lightweight improved YOLOv5s model and its deployment for detecting pitaya fruits in daytime and nighttime light-supplement environments.
Comput. Electron. Agric., 2024

Simultaneous detection of fruits and fruiting stems in mango using improved YOLOv8 model deployed by edge device.
Comput. Electron. Agric., 2024

2023
An improved YOLOv5s model for effectively predict sugarcane seed replenishment positions verified by a field re-seeding robot.
Comput. Electron. Agric., November, 2023

2022
Smartphone application-based measurements of stem-base width and plant height in rice seedling.
Comput. Electron. Agric., 2022

2021
An automatic approach for detecting seedlings per hill of machine-transplanted hybrid rice utilizing machine vision.
Comput. Electron. Agric., 2021

2019
Detection of Performance of Hybrid Rice Pot-Tray Sowing Utilizing Machine Vision and Machine Learning Approach.
Sensors, 2019


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