Standard Framework Construction of Technology and Equipment for Big Data in Crop Phenomics
Weiliang Wen,
Shenghao Gu,
Ying Zhang,
Wanneng Yang,
Xinyu Guo
Affiliations
Weiliang Wen
Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; Beijing Key Lab of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
Shenghao Gu
Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; Beijing Key Lab of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
Ying Zhang
Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; Beijing Key Lab of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
Wanneng Yang
National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Huazhong Agricultural University, Wuhan 430070, China; Corresponding authors.
Xinyu Guo
Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; Beijing Key Lab of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China; Corresponding authors.
Crop phenomics has rapidly progressed in recent years due to the growing need for crop functional genomics, digital breeding, and smart cultivation. Despite this advancement, the lack of standards for the creation and usage of crop phenomics technology and equipment has become a bottleneck, limiting the industry’s high-quality development. This paper begins with an overview of the crop phenotyping industry and presents an industrial mapping of technology and equipment for big data in crop phenomics. It analyzes the necessity and current state of constructing a standard framework for crop phenotyping. Furthermore, this paper proposes the intended organizational structure and goals of the standard framework. It details the essentials of the standard framework in the research and development of hardware and equipment, data acquisition, and the storage and management of crop phenotyping data. Finally, it discusses promoting the construction and evaluation of the standard framework, aiming to provide ideas for developing a high-quality standard framework for crop phenotyping.
