Li, Yang

An Adversarial Defense Framework for Consumer UAV Systems: Case Study of Cotton Apical Bud Detection Against AI-Enabled Attacks

Robust AI-Driven Intrusion Detection and Defense for Next-Generation Consumer Services

Perception-Driven Generative Model for High-Precision and Low-Cost Remote Sensing Image Generation in Resource-Constrained Cotton Health Monitoring

Enhancing DDoS Defense in the Internet of Energy Through Intelligent Task Scheduling Framework

Data and domain knowledge dual-driven artificial intelligence: Survey, applications, and challenges

Enhanced Brain Tumor Detection Using DCGAN Augmentation and Optimized EfficientDet in IoT-Based Healthcare Industry 5.0

GNN-EnKF Fusion: A Novel Framework for Cotton Canopy Nitrogen Inversion Using Multi-Source Remote Sensing Fusion and Crop Growth Model Assimilation

Optimization Method for Remote Sensing Image-Based Photovoltaic Panel Segmentation via Perception-Driven Enhancement in Nonideal Environments

Real-Time Multisource Fusion and Processing of Satellite-UAV Remote Sensing Images and Ground Acoustic Signals for Cotton Water and Fertilizer Management

Generative AI-Enhanced Autonomous Driving: Innovating Decision-Making and Risk Assessment in Multi-Interactive Environments

Incremental Cotton Diseases Detection Based on Aerial Remote Sensing Image and Blockchain Sharding

Imbalanced segmentation for abnormal cotton fiber based on GAN and multiscale residual U-Net

Low-Carbon Jujube Moisture Content Detection Based on Spectral Selection and Reconstruction

Efficient Detection of Cotton Verticillium Wilt by Combining Satellite Time-Series Data and Multiview UAV Images

Fuzzy EfficientDet: An Approach for Precise Detection of Larch Infestation Severity in UAV Imagery Under Dynamic Environmental Conditions

UAVEC-FLchain: Distributed multi-regional jujube orchard joint yield estimation for secure agricultural-IoT applications

Few-shot Learning in Intelligent Agriculture: A Review of Methods and Applications

Regional soil water content monitoring based on time-frequency spectrogram of low-frequency swept acoustic signal

Advanced Image Processing and Applications for Smart Agricultural Systems

Explainable human-in-the-loop healthcare image information quality assessment and selection

Data-efficient crop pest recognition based on KNN distance entropy

Dataset and Baselines for IID and OOD Image Classification Considering Data Quality and Evolving Environments

Data quality assessment and analysis for pest identification in smart agriculture

Disturbed-entropy: A simple data quality assessment approach

Image Information Contribution Evaluation for Plant Diseases Classification via Inter-Class Similarity

Remote Sensing Image Information Quality Evaluation via Node Entropy for Efficient Classification

A survey of few-shot learning in smart agriculture: developments, applications, and challenges