Author:
Cao Jingjun,Sun Tan,Zhang Wenrong,Zhong Ming,Huang Bo,Zhou Guomin,Chai Xiujuan
Funder
National Natural Science Foundation of China
Subject
Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry
Reference28 articles.
1. Computer vision based fruit grading system for quality evaluation of tomato in agriculture industry;Arakeri;Procedia Comput. Sci.,2016
2. Automatic apple grading model development based on back propagation neural network and machine vision, and its performance evaluation;Bhatt;AI Soc.,2013
3. Deulkar, S.S., Barve, S.S., 2018. An automated tomato quality grading using clustering based support vector machine. In: Proceedings of the 3rd International Conference on Communication and Electronics Systems, ICCES 2018, IEEE. pp. 1128–1133. doi:10.1109/CESYS.2018.8724084.
4. Eitel, A., Spinello, L., Riedmiller, M., 2015. Multimodal Deep Learning for Robust RGB-D Object Recognition. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 681–687.
5. Understanding the difficulty of training deep feedforward neural networks;Glorot;J. Mach. Learn. Res.,2010
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