“Lightweight System for Berry Number Prediction” Accepted for Publication in Computers and Electronics in Agriculture

Our research team is pleased to announce that our manuscript titled “End-to-End Lightweight Berry Number Prediction for Supporting Table Grape Cultivation,” has been accepted for publication in the journal Computers and Electronics in Agriculture.
This paper, authored by Yan San Woo, Prawit Buayai, Hiromitsu Nishizaki, Koji Makino, Latifah Munirah Kamarudin, and Xiaoyang Mao, introduces a novel lightweight system developed to automate the berry thinning process in table grape cultivation. The system incorporates advanced object detection techniques and is optimized for edge computing devices, which allows it to achieve high accuracy while maintaining a small computational footprint. This makes it particularly suitable for practical applications, even in locations with limited internet connectivity.
It is our hope that the results and insights provided in this paper will be a valuable contribution to the ongoing research and discussions in the field of agriculture technology. We extend our gratitude to our co-authors, contributors, and readers for their constant support.
The full paper can be accessed here.