1 citations · 1 across the 2 of their papers we have counts for
4 papers
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…
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…
Performance Evaluation of Semi-supervised Learning Frameworks for Multi-Class Weed Detection
Jiajia Li, Dong Chen, Xunyuan Yin +1
Effective weed control plays a crucial role in optimizing crop yield and enhancing agricultural product quality. However, the reliance on herbicide application not only poses a cri…
SoybeanNet: Transformer-Based Convolutional Neural Network for Soybean Pod Counting from Unmanned Aerial Vehicle (UAV) Images
Jiajia Li, Raju Thada Magar, Dong Chen +5
Soybeans are a critical source of food, protein and oil, and thus have received extensive research aimed at enhancing their yield, refining cultivation practices, and advancing soy…