Wen-Hao Su
Orcid: 0000-0003-1745-4722
According to our database1,
Wen-Hao Su
authored at least 12 papers
between 2016 and 2024.
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Bibliography
2024
Automatic Localization of Soybean Seedlings Based on Crop Signaling and Multi-View Imaging.
Sensors, May, 2024
Real-time lettuce-weed localization and weed severity classification based on lightweight YOLO convolutional neural networks for intelligent intra-row weed control.
Comput. Electron. Agric., 2024
2023
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