11 citations · 34 across the 12 of their papers we have counts for
12 papers
Object-Centric 3D Gaussian Splatting for Strawberry Plant Reconstruction and Phenotyping
Jiajia Li, Keyi Zhu, Qianwen Zhang +3
Strawberries are among the most economically significant fruits in the United States, generating over $2 billion in annual farm-gate sales and accounting for approximately 13% of t…
DiSA-IQL: Offline Reinforcement Learning for Robust Soft Robot Control under Distribution Shifts
Linjin He, Xinda Qi, Dong Chen +2
Soft snake robots offer remarkable flexibility and adaptability in complex environments, yet their control remains challenging due to highly nonlinear dynamics. Existing model-base…
A Survey on 3D Reconstruction Techniques in Plant Phenotyping: From Classical Methods to Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and Beyond
Jiajia Li, Xinda Qi, Seyed Hamidreza Nabaei +5
Plant phenotyping plays a pivotal role in understanding plant traits and their interactions with the environment, making it crucial for advancing precision agriculture and crop imp…
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…
Back-stepping Experience Replay with Application to Model-free Reinforcement Learning for a Soft Snake Robot
Xinda Qi, Dong Chen, Zhaojian Li +1
In this paper, we propose a novel technique, Back-stepping Experience Replay (BER), that is compatible with arbitrary off-policy reinforcement learning (RL) algorithms. BER aims to…
Design and Nonlinear Modeling of a Modular Cable Driven Soft Robotic Arm
Xinda Qi, Yu Mei, Dong Chen +2
We propose a novel multi-section cable-driven soft robotic arm inspired by octopus tentacles along with a new modeling approach. Each section of the modular manipulator is made of…
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…
O2RNet: Occluder-Occludee Relational Network for Robust Apple Detection in Clustered Orchard Environments
Pengyu Chu, Zhaojian Li, Kaixiang Zhang +3
Automated apple harvesting has attracted significant research interest in recent years due to its potential to revolutionize the apple industry, addressing the issues of shortage a…
Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach
Dong Chen, Xinda Qi, Yu Zheng +2
Weed management plays an important role in many modern agricultural applications. Conventional weed control methods mainly rely on chemical herbicides or hand weeding, which are of…
Performance Evaluation of Deep Transfer Learning on Multiclass Identification of Common Weed Species in Cotton Production Systems
Dong Chen, Yuzhen Lu, Zhaojiang Li +1
Precision weed management offers a promising solution for sustainable cropping systems through the use of chemical-reduced/non-chemical robotic weeding techniques, which apply suit…