Shuxiang Fan

Orcid: 0000-0002-4732-100X

According to our database1, Shuxiang Fan authored at least 12 papers between 2015 and 2023.

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

Timeline

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Bibliography

2023
Assessment of protein content and insect infestation of maize seeds based on on-line near-infrared spectroscopy and machine learning.
Comput. Electron. Agric., August, 2023

2022
An improved method for predicting soluble solids content in apples by heterogeneous transfer learning and near-infrared spectroscopy.
Comput. Electron. Agric., 2022

Real-time defects detection for apple sorting using NIR cameras with pruning-based YOLOV4 network.
Comput. Electron. Agric., 2022

Model robustness in estimation of blueberry SSC using NIRS.
Comput. Electron. Agric., 2022

2020
Determination of Moisture Content of Single Maize Seed by Using Long-Wave Near-Infrared Hyperspectral Imaging (LWNIR) Coupled With UVE-SPA Combination Variable Selection Method.
IEEE Access, 2020

2019
Prediction and Comparison of Models for Soluble Solids Content Determination in 'Ya' Pears Using Optical Properties and Diffuse Reflectance in 900-1700 nm Spectral Region.
IEEE Access, 2019

2018
Data Fusion of Two Hyperspectral Imaging Systems with Complementary Spectral Sensing Ranges for Blueberry Bruising Detection.
Sensors, 2018

2016
Fast detection and visualization of early decay in citrus using Vis-NIR hyperspectral imaging.
Comput. Electron. Agric., 2016

2015
Hyperspectral imaging combined with multivariate analysis and band math for detection of common defects on peaches (Prunus persica).
Comput. Electron. Agric., 2015

Design and Implementation of an Automatic Grading System of Diced Potatoes Based on Machine Vision.
Proceedings of the Computer and Computing Technologies in Agriculture IX, 2015

Penetration Depth of Near-Infrared Light in Small, Thin-Skin Watermelon.
Proceedings of the Computer and Computing Technologies in Agriculture IX, 2015

Comparison of Four Types of Raman Spectroscopy for Noninvasive Determination of Carotenoids in Agricultural Products.
Proceedings of the Computer and Computing Technologies in Agriculture IX, 2015


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