Fruit freshness detection based on multi-task convolutional neural network

Fruit freshness detection based on multi-task convolutional neural network

Background: Fruit freshness detection by computer vision is essential for many agricultural applications, e.g., automatic harvesting and supply chain monitoring. This paper proposes to use the multi-task learning (MTL) paradigm to build a deep convolutional neural work for fruit freshness detection....

Full description

Bibliographic Details
Main Authors: Yinsheng Zhang, Xudong Yang, Yongbo Cheng, Xiaojun Wu, Xiulan Sun, Ruiqi Hou, Haiyan Wang
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Current Research in Food Science
Subjects:
Multi-task learning
Depthwise separable convolution
Fruit freshness
Convolutional neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S2665927124000595

Internet

http://www.sciencedirect.com/science/article/pii/S2665927124000595

Similar Items