3 papers
cs.CV2026
Resource-Constrained UAV-Based Weed Detection for Site-Specific Management on Edge Devices
Linyuan Wang, Haibo Yao, Te-Ming Tseng +4
Weeds compete with crops for light, water, and nutrients, reducing yield and crop quality. Efficient weed detection is essential for site-specific weed management (SSWM). Although…
cs.CV2025
FedReplay: A Feature Replay Assisted Federated Transfer Learning Framework for Efficient and Privacy-Preserving Smart Agriculture
Long Li, Jiajia Li, Dong Chen +3
Accurate classification plays a pivotal role in smart agriculture, enabling applications such as crop monitoring, fruit recognition, and pest detection. However, conventional centr…
cs.CV2025
VLLFL: A Vision-Language Model Based Lightweight Federated Learning Framework for Smart Agriculture
Long Li, Jiajia Li, Dong Chen +3
In modern smart agriculture, object detection plays a crucial role by enabling automation, precision farming, and monitoring of resources. From identifying crop health and pest inf…