End-to-end lightweight berry number prediction for supporting table grape cultivation

Yan San Woo, Prawit Buayai, Hiromitsu Nishizaki, Koji Makino, Latifah Munirah Kamarudin, Xiaoyang Mao

Abstract: Highlights•New real-time tech for automatic berry counting aids farmers in thinning.•Novel method to predict berry number from a single 2D image.•Design and implementation of 8 key features from a compact deep learning model.•Achieves low mean absolute error (MAE) of 2.60 berries on extensive dataset.