Pan Gao

发表

Non-Destructive and Rapid Variety Discrimination and Visualization of Single Grape Seed Using Near-Infrared Hyperspectral Imaging Technique and Multivariate Analysis

Chu Zhang, Susu Zhu, Yiying Zhao, 2018, Molecules.

Variety Identification of Raisins Using Near-Infrared Hyperspectral Imaging

Chu Zhang, Yidan Bao, Susu Zhu, 2018, Molecules.

Application and interpretation of deep learning methods for the geographical origin identification of Radix Glycyrrhizae using hyperspectral imaging

Pan Gao, Wei Xu, Xiaopan Chen, 2020, RSC advances.

Detection of Pesticide Residue Level in Grape Using Hyperspectral Imaging with Machine Learning

Chu Zhang, Pan Gao, Tianying Yan, 2022, Foods.

Predicting Leaf Nitrogen Content in Cotton with UAV RGB Images

Xin Lv, Pan Gao, Long Duan, 2022, Sustainability.

Spectral Preprocessing Combined with Deep Transfer Learning to Evaluate Chlorophyll Content in Cotton Leaves

Qinlin Xiao, Lei Zhou, Chu Zhang, 2022, Plant phenomics.

Application of Near-Infrared Hyperspectral Imaging with Machine Learning Methods to Identify Geographical Origins of Dry Narrow-Leaved Oleaster (Elaeagnus angustifolia) Fruits

Yong He, Chu Zhang, W. Xu, 2019, Foods.

Visible and near-infrared spectroscopy and deep learning application for the qualitative and quantitative investigation of nitrogen status in cotton leaves

Qinlin Xiao, Lei Zhou, Chu Zhang, 2022, Frontiers in Plant Science.

Near-Infrared Hyperspectral Imaging Combined with Deep Learning to Identify Cotton Seed Varieties

Yidan Bao, Susu Zhu, Yong He, 2019, Molecules.

Cotton leaf segmentation with composite backbone architecture combining convolution and attention

Wei Xu, Xin Lv, Pan Gao, 2023, Frontiers in Plant Science.

Application of Hyperspectral Imaging for Maturity and Soluble Solids Content Determination of Strawberry With Deep Learning Approaches

Lei Feng, Pan Gao, Zhenzhu Su, 2021, Frontiers in Plant Science.

Application of near-infrared hyperspectral imaging for variety identification of coated maize kernels with deep learning

Yidan Bao, Pan Gao, Chu Zhang, 2020, Infrared physics & technology.

Combining Multi-Dimensional Convolutional Neural Network (CNN) With Visualization Method for Detection of Aphis gossypii Glover Infection in Cotton Leaves Using Hyperspectral Imaging

Pan Gao, Tianying Yan, Long Duan, 2021, Frontiers in Plant Science.

Application of Convolutional Neural Network-Based Feature Extraction and Data Fusion for Geographical Origin Identification of Radix Astragali by Visible/Short-Wave Near-Infrared and Near Infrared Hyperspectral Imaging

Yong He, Pan Gao, Xiulin Bai, 2020, Sensors.

Cotton Seedling Detection and Counting Based on UAV Multispectral Images and Deep Learning Methods

Wei Chen, Xin Lv, Pan Gao, 2023, Remote. Sens..

Application of Near-Infrared Spectroscopy and Hyperspectral Imaging Combined with Machine Learning Algorithms for Quality Inspection of Grape: A Review

Pan Gao, Wei-Min Xu, Tianying Yan, 2022, Foods.

Soil Salinity Estimation in Cotton Fields in Arid Regions Based on Multi-Granularity Spectral Segmentation (MGSS)

Xin Lv, Pan Gao, Ze Zhang, 2023, Remote. Sens..

Automatic segmentation of cotton roots in high-resolution minirhizotron images based on improved OCRNet

Yuan Zhang, Xin Lv, Pan Gao, 2023, Frontiers in Plant Science.

Determination of quality and maturity of processing tomatoes using near-infrared hyperspectral imaging with interpretable machine learning methods

Yifan Zhang, Wei Xu, Pan Gao, 2023, LWT.

Early detection of cotton verticillium wilt based on root magnetic resonance images

Qinlin Xiao, Lei Feng, Pan Gao, 2023, Frontiers in Plant Science.

Organ Segmentation and Phenotypic Trait Extraction of Cotton Seedling Point Clouds Based on a 3D Lightweight Network

Pan Gao, Jiacheng Shen, Tan Wu, 2024, Agronomy.

Soil Quality Evaluation for Cotton Fields in Arid Region Based on Graph Convolution Network

Pan Gao, Ze Zhang, Long Duan, 2023, Land.