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. - Wen-Hao Su; Da-Wen Sun (Comput. Electron. Agric., 2016)

Multivariate analysis of hyper/multi-spectra for determining volatile compounds and visualizing cooking degree during low-temperature baking of tubers. - Wen-Hao Su; Da-Wen Sun (Comput. Electron. Agric., 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. - Wen-Hao Su; Da-Wen Sun (Comput. Electron. Agric., 2016)

Chemical imaging for measuring the time series variations of tuber dry matter and starch concentration. - Wen-Hao Su; Da-Wen Sun (Comput. Electron. Agric., 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). - Wen-Hao Su; Da-Wen Sun; Jianguo He; Ling-Biao Zhang (Comput. Electron. Agric., 2017)

Non-destructive evaluation of photostability of crop signaling compounds and dose effects on celery vigor for precision plant identification using computer vision. - Wen-Hao Su; David C. Slaughter; Steven A. Fennimore (Comput. Electron. Agric., 2020)

Automatic Evaluation of Wheat Resistance to Fusarium Head Blight Using Dual Mask-RCNN Deep Learning Frameworks in Computer Vision. - Wen-Hao Su; Jiajing Zhang; Ce Yang; Rae Page; Tamas Szinyei; Cory D. Hirsch; Brian J. Steffenson (Remote. Sens., 2021)

Two-Stage Convolutional Neural Networks for Diagnosing the Severity of Alternaria Leaf Blotch Disease of the Apple Tree. - Bo-Yuan Liu; Ke-Jun Fan; Wen-Hao Su; Yankun Peng (Remote. Sens., 2022)

Discrimination of Deoxynivalenol Levels of Barley Kernels Using Hyperspectral Imaging in Tandem with Optimized Convolutional Neural Network. - Ke-Jun Fan; Bo-Yuan Liu; Wen-Hao Su (Sensors, 2023)

Quantitative Evaluation of Maize Emergence Using UAV Imagery and Deep Learning. - Minguo Liu; Wen-Hao Su; Xi-Qing Wang (Remote. Sens., 2023)

Convolutional Neural Network and Hyperspectral Imaging for Detection of Deoxynivalenol Levels of Barley Kernels. - Bo-Yuan Liu; Ke-Jun Fan; Wen-Hao Su (IIKI, 2024)

Real-time Identification of Crop Plant Based on Computer Vision and Crop Signaling Technology for Weed Control. - He-Yi Zhang; Wen-Hao Su; Jia-Le Li (IIKI, 2024)

Real-time lettuce-weed localization and weed severity classification based on lightweight YOLO convolutional neural networks for intelligent intra-row weed control. - Rui Hu; Wen-Hao Su; Jia-Le Li; Yankun Peng (Comput. Electron. Agric., 2024)

Automatic Localization of Soybean Seedlings Based on Crop Signaling and Multi-View Imaging. - Bo Jiang; He-Yi Zhang; Wen-Hao Su (Sensors, 2024)

Smart weeding system with multi-sensor fusion for tomato plant detection and targeted micro-spraying of intra-row weeds. - Jia-Le Li; Wen-Hao Su; Rui Hu; Long-Tao Niu; Qi Wang (Comput. Electron. Agric., 2025)

Real-time precision crop identification in high weed-density environments for robotic weed control using spectral fluorescence imaging in celery. - Rekha Raja; Wen-Hao Su; David C. Slaughter; Steven A. Fennimore (Comput. Electron. Agric., 2025)

Automatic visualization of crop signaling markers in tomato plants for differentiation of labeled plants from weeds based on fluorescence imaging. - He-Yi Zhang; Wen-Hao Su; Bo Jiang; Yankun Peng (Comput. Electron. Agric., 2025)

Semi-supervised deep learning framework based on modified pyramid scene parsing network for multi-label fine-grained classification and diagnosis of apple leaf diseases. - Ke-Jun Fan; Bo-Yuan Liu; Wen-Hao Su; Yankun Peng (Eng. Appl. Artif. Intell., 2025)

Development of intelligent equipment for weed identification and variable spraying in lettuce fields based on instance segmentation framework. - Long-Tao Niu; Wen-Hao Su; He-Yi Zhang; Qi Wang; Bo-Wen Dong; Yankun Peng (Eng. Appl. Artif. Intell., 2025)