Wen-Hao Su

Orcid: 0000-0003-1745-4722

According to our database1, Wen-Hao Su authored at least 10 papers between 2016 and 2023.

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

Timeline

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PhD thesis 
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Bibliography

2023
Quantitative Evaluation of Maize Emergence Using UAV Imagery and Deep Learning.
Remote. Sens., April, 2023

Discrimination of Deoxynivalenol Levels of Barley Kernels Using Hyperspectral Imaging in Tandem with Optimized Convolutional Neural Network.
Sensors, March, 2023

2022
Two-Stage Convolutional Neural Networks for Diagnosing the Severity of Alternaria Leaf Blotch Disease of the Apple Tree.
Remote. Sens., 2022

2021
Automatic Evaluation of Wheat Resistance to Fusarium Head Blight Using Dual Mask-RCNN Deep Learning Frameworks in Computer Vision.
Remote. Sens., 2021

2020
Non-destructive evaluation of photostability of crop signaling compounds and dose effects on celery vigor for precision plant identification using computer vision.
Comput. Electron. Agric., 2020

2017
Variation analysis in spectral indices of volatile chlorpyrifos and non-volatile imidacloprid in jujube (Ziziphus jujuba Mill.) using near-infrared hyperspectral imaging (NIR-HSI) and gas chromatograph-mass spectrometry (GC-MS).
Comput. Electron. Agric., 2017

Chemical imaging for measuring the time series variations of tuber dry matter and starch concentration.
Comput. Electron. Agric., 2017

2016
Comparative assessment of feature-wavelength eligibility for measurement of water binding capacity and specific gravity of tuber using diverse spectral indices stemmed from hyperspectral images.
Comput. Electron. Agric., 2016

Multivariate analysis of hyper/multi-spectra for determining volatile compounds and visualizing cooking degree during low-temperature baking of tubers.
Comput. Electron. Agric., 2016

Potential of hyperspectral imaging for visual authentication of sliced organic potatoes from potato and sweet potato tubers and rapid grading of the tubers according to moisture proportion.
Comput. Electron. Agric., 2016


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