7 citations · 13 across the 6 of their papers we have counts for
6 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…
Large Language Models and Foundation Models in Smart Agriculture: Basics, Opportunities, and Challenges
Jiajia Li, Mingle Xu, Lirong Xiang +4
The past decade has witnessed the rapid development and adoption of ML & DL methodologies in agricultural systems, showcased by great successes in agricultural applications. Howeve…
Label-Efficient Learning in Agriculture: A Comprehensive Review
Jiajia Li, Dong Chen, Xinda Qi +4
The past decade has witnessed many great successes of machine learning (ML) and deep learning (DL) applications in agricultural systems, including weed control, plant disease diagn…