Large scale pest classification using efficient Convolutional Neural Network with augmentation and regularizers

Adhi Setiawan, Novanto Yudistira, Randy Cahya Wihandika

Abstract: Highlights•An efficient training framework using CNN for pest classification is introduced.•Our training procedure helps efficient networks achieve high accuracy.•CutMix augmentation and Adam optimizer are suitable for pest classification.