News

Congratulations Dr. Jiajia Li! 11/2025. I successfully defended my dissertation and officially became Dr. Jiajia Li

New Paper! 11/2025. “Detect, Segment, Cluster: Apple Localization for Robotic Harvesting in Complex Orchards” has been accepted by Smart Agriculture Technology

New Paper! 11/2025.  “A survey on 3D reconstruction techniques in plant phenotyping: from classical methods to neural radiance fields (NeRF), 3D Gaussian splatting (3DGS), and beyond” has been accepted by Plant Phenomics

New Paper! 09/2025. “Multi-modal LLMs in agriculture: A comprehensive review” has been accepted by IEEE Transactions on Automation Science and Engineering

New Paper! 08/2025. “Advancement and field evaluation of a dual-arm apple harvesting robot” has been accepted by Smart Agriculture Technology

New Paper! 04/2025. “Foundation Model-Based Apple Ripeness and Size Estimation for Selective Harvesting” has been accepted by Computers and Electronics in Agriculture

New Paper! 01/2025. “MetaFruit Meets Foundation Models: Leveraging a Comprehensive Multi-Fruit Dataset for Advancing Agricultural Foundation Models” has been accepted by the Journal of Computers and Electronics in Agriculture

News! 11/2024. I was honorably invited to be a panelist for  "Foundation Models for Resilient Agriculture" at the Association for the Advancement of Artificial Intelligence (AAAI) 2024 AI and Agricultural Symposium

News! 07/2024. I led and co-taught a CPD course on "Large Language Models and Foundation Models in Agriculture: Bridging Theory and Practice" at the 2024 ASABE Annual International Meeting

New Paper! 07/2024. “Performance Evaluation of Semi-supervised Learning Frameworks for Multi-Class Weed Detection” has been accepted by the Journal of Frontiers in Plant Science 

Award! 07/2024. Our paper  “Advancing Orchard Fruit Detection: An Innovative Agricultural Foundation Model Approach”, by Jiajia Li, Kyle Lammers, Xunyuan Yin, Xiang Yin, Long He, Renfu Lu, Zhaojian Li, was chosen for an ITSC Technical Community Meeting Paper Award 

New Paper! 07/2024. “Foundation models in smart agriculture: Basics, opportunities, and challenges” has been accepted by the Journal of Computers and Electronics in Agriculture 

New Paper! 03/2024. “SoybeanNet: Soybean Pod Counting from Unmanned Aerial Vehicle (UAV) Images with Transformer-Based Convolutional Neural Network” has been accepted by the Journal of Computers and Electronics in Agriculture 

New Paper! 11/2023. “Label-Efficient Learning in Agriculture: A Comprehensive Review” has been accepted by the Journal of Computers and Electronics in Agriculture