10 citations · 12 across the 5 of their papers we have counts for
5 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…
A Comparative Study of Deep Reinforcement Learning for Crop Production Management
Joseph Balderas, Dong Chen, Yanbo Huang +2
Crop production management is essential for optimizing yield and minimizing a field's environmental impact to crop fields, yet it remains challenging due to the complex and stochas…
Integrating Reinforcement Learning and Large Language Models for Crop Production Process Management Optimization and Control through A New Knowledge-Based Deep Learning Paradigm
Dong Chen, Yanbo Huang
Efficient and sustainable crop production process management is crucial to meet the growing global demand for food, fuel, and feed while minimizing environmental impacts. Tradition…
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review
Ebenezer Olaniyi, Dong Chen, Yuzhen Lu +1
In agricultural image analysis, optimal model performance is keenly pursued for better fulfilling visual recognition tasks (e.g., image classification, segmentation, object detecti…