文献类型： 外文期刊
作者： Wang, Xiaoding 1 ; Wu, Qibin 1 ; Zeng, Haitao 2 ; Yang, Xu 3 ; Yang, Xuechao 4 ; Yi, Xun 5 ; Khalil, Ibrahim 5 ; Que, Youxiong 1 ;
作者机构： 1.Chinese Acad Trop Agr Sci, Inst Trop Biosci & Biotechnol, Sanya Res Inst, Natl Key Lab Trop Crop Breeding, Sanya 572024, Hainan, Peoples R China
2.Fujian Normal Univ, Coll Comp & Cyber Secur, Fujian Prov Key Lab Network Secur & Cryptol, Fuzhou 350117, Fujian, Peoples R China
3.Minjiang Univ, Coll Comp & Data Sci, Fuzhou 350108, Fujian, Peoples R China
4.Victoria Univ, Coll Arts Business Law Educ & IT, Melbourne, Vic 3011, Australia
5.RMIT Univ, Sch Comp Technol, Melbourne, Vic 3000, Australia
关键词： Sugarcane breeding; Smart breeding; Artificial intelligence; Blockchain; Human-Cyber-Physical System; Digital twin
期刊名称：FIELD CROPS RESEARCH （ 影响因子：6.4； 五年影响因子：6.6 ）
ISSN： 0378-4290
年卷期： 2024 年 318 卷
页码：
收录情况： SCI
摘要： Context: Sugarcane, as an important economic crop, faces challenges such as long breeding cycles, low genetic improvement efficiency, and complex breeding operations. Method: In order to address these challenges and improve the economic benefits of sugarcane breeding, this paper proposes an innovative smart sugarcane breeding system driven by artificial intelligence (AI), blockchain and digital twin technologies. Results: The system integrates these technologies within a Human-Cyber-Physical System framework to offer a more efficient, secure, and smart strategy for sugarcane breeding. Firstly, AI processes extensive genetic and phenotypic data to enable precise prediction and optimization of sugarcane traits, resulting in shortened breeding cycles and enhanced efficiency and accuracy in selecting elite sugarcane varieties. Secondly, blockchain technology ensures the security and traceability of breeding data, enhancing the reliability and integrity of the breeding process. Thirdly, digital twin technology enables the real-time circulation of lifelike representations of real-world data among breeding-related workers. The system architecture consists of three layers: a physical layer for data collection, a cyber layer responsible for data analysis, storage and circulation managed by AI, blockchain and digital twin, and a human layer comprised of breeders and stakeholders. This multi-layered approach allows for sophisticated interaction and collaboration between the physical and digital realms, enhancing decision-making and breeding outcomes. Conclusion: Taken together, the system utilizes AI, blockchain, and digital twin technologies to support sugarcane breeding, offering a promising solution to overcome the limitations of traditional methods and establish a more sustainable and profitable sugarcane breeding system.
- 相关文献
作者其他论文 更多>>
-
Blockchain-Empowered H-CPS Architecture for Smart Agriculture
作者：Wang, Xiaoding;Wu, Qibin;Que, Youxiong;Wang, Xiaoding;Zeng, Haitao;Yang, Xu;Cui, Hui;Yi, Xun;Piran, Md. Jalil;Luo, Ming;Que, Youxiong
关键词：blockchain; human-cyber-physical systems; prospect; semantic blockchain; smart agriculture
-
FCDSB: A Fog Computing Network Architecture Based on Dynamic Sharding Blockchain for Consumer Electronics in AIoT
作者：Wei, Chenxiang;Lin, Hui;Wang, Xiaoding;Wei, Chenxiang;Lin, Hui;Que, Youxiong;Wang, Xiaoding;Que, Youxiong
关键词：Artificial Intelligence of Things; consumer elec-tronics; fog computing; sharding blockchain; sharding blockchain; deep reinforcement learning; deep reinforcement learning; deep reinforcement learning
-
Structure and changing trends of carbon footprint in sugarcane
作者：Xie, Yuan;He, Ting;Que, Yuyue;Chen, Rukai;Que, Youxiong;Wu, Qibin;Que, Youxiong;Que, Yuyue;Chen, Niandong
关键词：sugarcane carbon footprint; structural analysis; sensitivity analysis; individual fixed regression
-
Identification and Characterization of Key Genes for Nitrogen Utilization from Saccharum spontaneum Sub-Genome in Modern Sugarcane Cultivar
作者：Hui, Qianlong;Song, Ting;Yang, Dantong;Wu, Qibin;Guo, Jinlong;Que, Youxiong;Xu, Liping;Wu, Qibin;Que, Youxiong
关键词：sugarcane; nitrogen use efficiency; genetic mechanisms; sub-genome;
ScNRT2.3 -
A Sugarcane Smut Fungus Effector Hijacks Plant Vacuolar Sorting Receptor-Mediated Trafficking to Evade Host Immune Detection
作者：Ling, Hui;Fu, Xueqin;Que, Youxiong;Ling, Hui;Fu, Xueqin;Que, Youxiong;Ling, Hui;Fu, Xueqin;Que, Youxiong;Ling, Hui;Huang, Ning;Liu, Tingting;Zhong, Zaofa;Cui, Haitao;Que, Youxiong
关键词：effector; MVB; PVC;
Sporisorium scitamineum ; sugarcane; VSR1 -
Remote sensing revolutionizing agriculture: Toward anew frontier
作者：Wang, Xiaoding;Wu, Qibin;Que, Youxiong;Yang, Xu;Shu, Jiwu;Wang, Xiaoding;Zeng, Haitao;Shu, Jiwu;Yang, Xuechao;Yi, Xun;Khalil, Ibrahim;Zomaya, Albert Y.
关键词：Remote sensing; Artificial intelligence; Precision agriculture; Smart agriculture; Intelligent decision-making
-
Sugarcane genetics: Underlying theory and practical application
作者：Wang, Hengbo;Wu, Mingxing;Liu, Junhong;Yang, Shiwei;Wu, Qibin;Que, Youxiong;Wu, Qibin;Que, Youxiong;Wu, Qibin;Que, Youxiong;Pan, Yong-Bao
关键词：Interspecific hybridization; Nobilization breeding; Non-Mendelian inheritance; Sugarcane breeding
