Paper
30 November 2022 Research on intelligent auxiliary decision system for maize breeding
Hecang Zang, Jie Zhang, Qing Zhao, Feng Hu, Guoqiang Li, Guoqing Zheng
Author Affiliations +
Proceedings Volume 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022); 124560H (2022) https://doi.org/10.1117/12.2659688
Event: International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 2022, Qingdao, China
Abstract
As an important part of breeding research, germplasm resources play a fundamental role in maize breeding. This study starts from the needs of corn breeding scientific research, according to modern breeding technology, using computer technology and systems engineering technology, to study the key technologies of corn breeding process informatization, and build a practical and reliable corn breeding intelligent auxiliary decision support system. The establishment of this system will help to mine massive germplasm resources information, shorten the breeding time of new varieties with high quality and high yield, promote the development of informatization and intelligence in the breeding process, improve the level of breeding technology, and improve the level of corn breeding in the future. and provide a reference basis for the utilization of excellent maize germplasm resources.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hecang Zang, Jie Zhang, Qing Zhao, Feng Hu, Guoqiang Li, and Guoqing Zheng "Research on intelligent auxiliary decision system for maize breeding", Proc. SPIE 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 124560H (30 November 2022); https://doi.org/10.1117/12.2659688
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Intelligence systems

Decision support systems

Agriculture

Databases

Computing systems

Software development

Back to Top