Corn Ear Quality Recognition Based on DCGAN Data Enhancement and Transfer Learning

Author:

Shi Benzheng1,Zhou Xiaolei1,Qin Zhikang1,Sun Lu1,Xu Yan2

Affiliation:

1. Shandong University of Science&Technology, China

2. Shandong University of Science&Technology and Center for Quantum Technologies and Physics Department, Faculty of Science, National University of Singapore, China

Funder

the Natural Science Foundation of China

Shandong Province Postgraduate Education Joint Training Base Project

Shandong Province Postgraduate Education Quality Curriculum Project

Publisher

ACM

Reference14 articles.

1. Tops" of China's Corn Seed Industry[J].;Ten Tong P Y.;Seed Science & Technology

2. Machine vision measurement of corn ear test index using panoramic technology[J];Chuanyu Wang;Transactions of the Chinese Society of Agricultural Engineering

3. Image measurement method of corn ear parameters based on machine vision[J].;Changqing Liu;Transactions of the Chinese Society of Agricultural Engineering

4. Measurement method of corn ear yield component traits based on machine vision[J].;Jinhui Zhou;Transactions of the Chinese Society of Agricultural Machinery

5. Li Wei Hu Yanxia Lu Cen.Detection of corn ear traits based on HSV space[J]. Journal of Hunan Agricultural University (Natural Science Edition) 2017 43( 1) :112-116. Li Wei Hu Yanxia Lu Cen.Detection of corn ear traits based on HSV space[J]. Journal of Hunan Agricultural University (Natural Science Edition) 2017 43( 1) :112-116.

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