Jianlin Qiu

LFT-YOLO: Lightweight Feature Transfer and Adaptive Upsampling for Small-Object Pine Wilt Disease Detection in UAV Imagery

Monitoring forest diseases is essential for sustainable forestry management and ecological security. However, unmanned aerial vehicle (UAV)-based forest inspection remains challenging because diseased pine canopies are often small, densely distributed, partially occluded, and eas...

Improved YOLOv11 Framework with Channel Attention for High-Precision Identification of Luffa Leaf Diseases

Early accurate identification of luffa crop diseases is essential for timely treatment and high-quality agricultural production. Currently, luffa disease diagnosis relies solely on manual field inspection, which is labor-intensive and error-prone, and lacks assessment uniformity....