Deep learning for the identification of bruised apples by fusing 3D deep features for apple grading systems

Automated bruised apple detection is an important application in the fruit industry. In this paper, we investigated convolutional neural network-based predictive models for the identification of bruised apples based on shape information (in a form of three-dimensional [3D] surface meshes) acquired from a 3D infrared imaging system. There are often irregularities on bruised apple surfaces, which can be used to differentiate those bruised apples...