We are delighted to announce that our paper, “Harvesting Sequence Optimization for Clustered Strawberries Using a Fruit-Level Harvesting Difficulty Score,” has been accepted for publication in Computers and Electronics in Agriculture.

The paper is led by Lin Yang (杨琳), a Master’s student and the first author. The co-authors are Shimin Hu, Meili Sun, and Ya Xiong. This research was conducted by the Intelligent Equipment Research Center at the Beijing Academy of Agriculture and Forestry Sciences, in collaboration with the College of Information Science and Engineering at Shandong Agricultural University.

We are excited to share that our team has begun field testing WeedHitter 2, the latest version of our laser weeding robot.

WeedHitter 2 features a new modular design that brings the platform closer to an industrial-ready system. The redesigned architecture supports more efficient integration, testing, maintenance, and future upgrades as we continue moving the technology from research prototypes toward practical agricultural deployment.

We are pleased to announce that two papers led by our master’s students, Changyou Miao and Li Teng, have been accepted for presentation at IEEE/RSJ IROS 2026. Both works address

A paper led by PhD student Meili Sun has been published in Artificial Intelligence in Agriculture, titled “Vision-based early fault diagnosis and self-recovery for strawberry harvesting robots”. The study presents

We are pleased to announce that two papers led by our master’s students have been accepted. Quan Zhao (first author) and colleagues present a VLM-driven framework for active obstacle separation