A paper led by master student Nengwei Yang, titled “PHDT-DETR: A Lightweight End-to-End Detector for On-Device Truss Tomato Detection in Greenhouses,” has been published in Smart Agricultural Technology. The study proposes the PHDT-DETR, a streamlined detection model that maintains accuracy while being efficient enough to run in real-time on embedded devices within greenhouses, facilitating scalable robotic scouting and harvesting.

A paper led by PhD student Shimin Hu, titled “Calibration-enhanced multi-view RGB-D vision for robust recognition and 3D localization of strawberries under occlusions,” has been accepted by Computers and Electronics in Agriculture.

A paper led by PhD student Meili Sun, titled “Light-resilient visual regression of strawberry ripeness for robotic harvesting,” has been accepted for publication in Computers and Electronics in Agriculture. The research introduces a robust visual regression model that maintains high accuracy in judging strawberry ripeness under varying greenhouse light conditions.

On October 20, 2025, the IROS Workshop on Agricultural Robotics (Agrirobotics), co-organized by Dr. Ya Xiong alongside leading experts from Wageningen University, University of Lincoln, and Northwest A&F University, was successfully held at the top-tier robotics conference IROS.

A paper led by PhD student Lichao Yang, titled “High-Tolerance Soft-Rigid Gripper for Low-Damage Robotic Strawberry Harvesting,” has been published in the prestigious journal IEEE Robotics and Automation Letters (RA-L).