{"title":"作物表型组学大数据技术与装备","authors":"Weiliang Wen, Xinyu Guo, Ying Zhang, Shenghao Gu, Chunjiang Zhao","doi":"10.15302/j-sscae-2023.04.015","DOIUrl":null,"url":null,"abstract":"Automatic equipment and information technologies make it possible to acquire multi-scale and multi-source heterogeneous data of crops under different growth conditions, forming big data on crop phenomics. This will greatly promote the research progress of crop functional genomics, digital breeding, and smart cultivation. In this paper, the demand for and industrial development of technology and equipment of big data on crop phenomics are analyzed. Then, the current situation of research and development in this area is summarized from five aspects: data acquisition hardware, data transmission, data analysis, knowledge formation, and applications. The problems and developmental trends of relevant technologies, equipment, and industrial application in China are analyzed from the perspectives of high-throughput acquisition and intelligent analysis of big data on crop phenomics. At last, the following suggestions are proposed: achieving breakthroughs regarding key crop phenotyping sensor technologies from the underlying chip level, forming an autonomous phenotyping extraction technology system on the basis of controllable open source, 收稿日期:2023-04-21;修回日期:2023-06-12 通讯作者:赵春江,北京市农林科学院信息技术研究中心研究员,中国工程院院士,研究方向为农业信息技术与智能装备; E-mail: zhaocj@nercita.org.cn 资助项目:国家重点研发计划项目(2022YFD2002300);中国工程院咨询项目“生物育种数字化发展战略研究”(2021-JJZD-04),“安徽省智 慧农业发展战略研究”(2021-DFZ-17) 本刊网址:www.engineering.org.cn/ch/journal/sscae","PeriodicalId":175562,"journal":{"name":"Chinese Journal of Engineering Science","volume":"271 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Technology and Equipment of Big Data on Crop Phenomics\",\"authors\":\"Weiliang Wen, Xinyu Guo, Ying Zhang, Shenghao Gu, Chunjiang Zhao\",\"doi\":\"10.15302/j-sscae-2023.04.015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automatic equipment and information technologies make it possible to acquire multi-scale and multi-source heterogeneous data of crops under different growth conditions, forming big data on crop phenomics. This will greatly promote the research progress of crop functional genomics, digital breeding, and smart cultivation. In this paper, the demand for and industrial development of technology and equipment of big data on crop phenomics are analyzed. Then, the current situation of research and development in this area is summarized from five aspects: data acquisition hardware, data transmission, data analysis, knowledge formation, and applications. The problems and developmental trends of relevant technologies, equipment, and industrial application in China are analyzed from the perspectives of high-throughput acquisition and intelligent analysis of big data on crop phenomics. At last, the following suggestions are proposed: achieving breakthroughs regarding key crop phenotyping sensor technologies from the underlying chip level, forming an autonomous phenotyping extraction technology system on the basis of controllable open source, 收稿日期:2023-04-21;修回日期:2023-06-12 通讯作者:赵春江,北京市农林科学院信息技术研究中心研究员,中国工程院院士,研究方向为农业信息技术与智能装备; E-mail: zhaocj@nercita.org.cn 资助项目:国家重点研发计划项目(2022YFD2002300);中国工程院咨询项目“生物育种数字化发展战略研究”(2021-JJZD-04),“安徽省智 慧农业发展战略研究”(2021-DFZ-17) 本刊网址:www.engineering.org.cn/ch/journal/sscae\",\"PeriodicalId\":175562,\"journal\":{\"name\":\"Chinese Journal of Engineering Science\",\"volume\":\"271 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chinese Journal of Engineering Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15302/j-sscae-2023.04.015\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Journal of Engineering Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15302/j-sscae-2023.04.015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Technology and Equipment of Big Data on Crop Phenomics
Automatic equipment and information technologies make it possible to acquire multi-scale and multi-source heterogeneous data of crops under different growth conditions, forming big data on crop phenomics. This will greatly promote the research progress of crop functional genomics, digital breeding, and smart cultivation. In this paper, the demand for and industrial development of technology and equipment of big data on crop phenomics are analyzed. Then, the current situation of research and development in this area is summarized from five aspects: data acquisition hardware, data transmission, data analysis, knowledge formation, and applications. The problems and developmental trends of relevant technologies, equipment, and industrial application in China are analyzed from the perspectives of high-throughput acquisition and intelligent analysis of big data on crop phenomics. At last, the following suggestions are proposed: achieving breakthroughs regarding key crop phenotyping sensor technologies from the underlying chip level, forming an autonomous phenotyping extraction technology system on the basis of controllable open source, 收稿日期:2023-04-21;修回日期:2023-06-12 通讯作者:赵春江,北京市农林科学院信息技术研究中心研究员,中国工程院院士,研究方向为农业信息技术与智能装备; E-mail: zhaocj@nercita.org.cn 资助项目:国家重点研发计划项目(2022YFD2002300);中国工程院咨询项目“生物育种数字化发展战略研究”(2021-JJZD-04),“安徽省智 慧农业发展战略研究”(2021-DFZ-17) 本刊网址:www.engineering.org.cn/ch/journal/sscae