PlantSpecLab: A comprehensive open-source platform for high-throughput plant spectral data processing and phenotypic modeling，Plant Phenomics，2026-03
TimesNet-BFT: Mitigating Network State Uncertainty in Byzantine Consensus via Deep Temporal Modeling，Entropy，2026-03
TSS-ZKP: Enabling Blockchain Account Supervision Without Compromising User Identity，IEEE Internet of Things Journal，2025
Rapid detection and visualization of physiological signatures in cotton leaves under Verticillium wilt stress，Artificial Intelligence in Agriculture，2025-12
YOLO-MSLT: A Multimodal Fusion Network Based on Spatial Linear Transformer for Cattle and Sheep Detection in Challenging Environments，Agriculture，2025-12
Automated detection of cotton aphids (Aphis gossypii Glover) using a bi-enhanced attention mechanism and domain-adaptive transfer learning strategy，Artificial Intelligence Review，2025-12
Fig-YOLO: An Improved YOLOv11-Based Fig Detection Algorithm for Complex Environments，Foods，2025-12
Early detection of cotton Verticillium wilt based on generative adversarial networks and hyperspectral imaging technology，Industrial Crops and Products，2025-09
IRHunter: Universal Detection of Instruction Reordering Vulnerabilities for Enhanced Concurrency in Distributed and Parallel Systems，IEEE Transactions on Parallel and Distributed Systems，2025-06
Cotton Verticillium Wilt Severity Detection Based on Hyperspectral Imaging and SSFNet，光谱学与光谱分析（Spectroscopy and Spectral Analysis），2025-06
Early Detection of Verticillium Wilt in Cotton by Using Hyperspectral Imaging Combined with Recurrence Plots，Agronomy，2025-01
Monitoring Soil Salinity in Arid Areas of Northern Xinjiang Using Multi-Source Satellite Data: A Trusted Deep Learning Framework，Land（ESI高被引），2025-01
Metric-Based Meta-Learning Combined with Hyperspectral Imaging for Rapid Detection of Adulteration in Domain-Shifted Camel Milk Powder，LWT，2024-08
The fusion of vegetation indices increases the accuracy of cotton leaf area prediction，Frontiers in Plant Science，2024-07-04
YOLO SSPD: a small target cotton boll detection model during the boll-spitting period based on space-to-depth convolution，Frontiers in Plant Science，2024-06-20
Stem–Leaf segmentation and phenotypic trait extraction of individual plant using a precise and efficient point cloud segmentation network，Computers and Electronics in Agriculture，2024-05
Organ Segmentation and Phenotypic Trait Extraction of Cotton Seedling Point Clouds Based on a 3D Lightweight Network，Agronomy，2024-05-20
Jujube quality grading using a generative adversarial network with an imbalanced data set，Biosystems Engineering，2023-12
Application of Visible/Near-Infrared Spectroscopy and Hyperspectral Imaging with Machine Learning for High-Throughput Plant Heavy Metal Stress Phenotyping: A Review，Plant Phenomics，2023-11
Soil Quality Evaluation for Cotton Fields in Arid Region Based on Graph Convolution Network，Land，2023-10
Combining Vis-NIR and NIR Spectral Imaging Techniques with Data Fusion for Rapid and Nondestructive Multi-Quality Detection of Cherry Tomatoes，Foods，2023-09
Hyperspectral Classification of Frost Damage Stress in Tomato Plants Based on Few-Shot Learning，Agronomy，2023-09
Determination of quality and maturity of processing tomatoes using near-infrared hyperspectral imaging with interpretable machine learning methods，LWT，2023-06
Soil Salinity Estimation in Cotton Fields in Arid Regions Based on Multi-Granularity Spectral Segmentation (MGSS)，Remote Sensing，2023-06
Cotton Seedling Detection and Counting Based on UAV Multispectral Images and Deep Learning Methods，Remote Sensing，2023-05
Automatic segmentation of cotton roots in high-resolution minirhizotron images based on improved OCRNet，Frontiers in Plant Science，2023-05
Early detection of cotton verticillium wilt based on root magnetic resonance images，Frontiers in Plant Science，2023-03
Cotton leaf segmentation with composite backbone architecture combining convolution and attention，Frontiers in Plant Science，2023-01
A Novel Blockchain-Enabled Supply-Chain Management Framework for Xinjiang Jujube: Research on Optimized Blockchain Considering Private Transactions，Foods，2023-01
Application of Near-Infrared Spectroscopy and Hyperspectral Imaging Combined with Machine Learning Algorithms for Quality Inspection of Grape: A Review，Foods，2022-12
Establishment of a Monitoring Model for the Cotton Leaf Area Index Based on the Canopy Reflectance Spectrum，Land，2022-12
Visible and near-infrared spectroscopy and deep learning application for the qualitative and quantitative investigation of nitrogen status in cotton leaves，Frontiers in Plant Science，2022-12
Predicting Leaf Nitrogen Content in Cotton with UAV RGB Images，Sustainability，2022-07
Detection of Pesticide Residue Level in Grape Using Hyperspectral Imaging with Machine Learning，Foods，2022-05
Spectral Preprocessing Combined with Deep Transfer Learning to Evaluate Chlorophyll Content in Cotton Leaves，Plant Phenomics（ESI高被引），2022
Combine Hyperspectral Imaging and Machine Learning to Identify the Age of Cotton Seeds，光谱学与光谱分析（Spectroscopy and Spectral Analysis），2021
Establish real-time monitoring models of cotton aphid quantity based on different leaf positions in cotton seedlings，Notulae Botanicae Horti Agrobotanici Cluj-Napoca，2021
棉田复杂背景下棉花黄萎病病斑分割算法研究，南京师范大学学报.自然科学版，2021，CSCD
Application of Hyperspectral Imaging for Maturity and Soluble Solids Content Determination of Strawberry With Deep Learning Approaches，Frontiers in plant science，2021-09
Combining Multi-dimensional Convolutional Neural Network (CNN) with Visualization Method for Detection of Aphis Gossypii Glover Infection in Cotton Leaves Using Hyperspectral Imaging，Frontiers in plant science，2021-03
基于ConvLSTM网络的维度情感识别模型研究，计算机应用研究，2021，CSCD
Application and interpretation of deep learning methods for the geographical origin identification of Radix Glycyrrhizae using hyperspectral imaging，RSC Advances，2020
Application of near-infrared hyperspectral imaging for variety identification of coated maize kernels with deep learning，Infrared Physics & Technology，2020-12
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，Sensors，2020-09-01
Application of Near-Infrared Hyperspectral Imaging with Machine Learning Methods to Identify Geographical Origins of Dry Narrow-Leaved Oleaster (Elaeagnus angustifolia) Fruits，Foods，2020
