most citedLabel-Efficient Learning in Agriculture: A Comprehensive Review

4 citations · 9 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV20241 cited

MetaFruit Meets Foundation Models: Leveraging a Comprehensive Multi-Fruit Dataset for Advancing Agricultural Foundation Models

Jiajia Li, Kyle Lammers, Xunyuan Yin +4

Fruit harvesting poses a significant labor and financial burden for the industry, highlighting the critical need for advancements in robotic harvesting solutions. Machine vision-ba…

cs.CV2024

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…

cs.CV20231 cited

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…

cs.RO20231 cited

High-Precision Fruit Localization Using Active Laser-Camera Scanning: Robust Laser Line Extraction for 2D-3D Transformation

Pengyu Chu, Zhaojian Li, Kaixiang Zhang +2

Recent advancements in deep learning-based approaches have led to remarkable progress in fruit detection, enabling robust fruit identification in complex environments. However, muc…

cs.SD2023

Cross-modal Generative Model for Visual-Guided Binaural Stereo Generation

Zhaojian Li, Bin Zhao, Yuan Yuan

Binaural stereo audio is recorded by imitating the way the human ear receives sound, which provides people with an immersive listening experience. Existing approaches leverage auto…

cs.RO20231 cited

Active Laser-Camera Scanning for High-Precision Fruit Localization in Robotic Harvesting: System Design and Calibration

Kaixiang Zhang, Pengyu Chu, Kyle Lammers +2

Robust and effective fruit detection and localization is essential for robotic harvesting systems. While extensive research efforts have been devoted to improving fruit detection,…