农业大数据学报 ›› 2020, Vol. 2 ›› Issue (4): 86-94.doi: 10.19788/j.issn.2096-6369.200411
胡国铮1,2,3(), 干珠扎布1,2, 余沛东1,2, 杨振琳1,2, 高清竹1,2,3()
收稿日期:
2020-12-01
出版日期:
2020-12-26
发布日期:
2021-03-11
通讯作者:
高清竹
E-mail:huguozheng@caas.cn;gaoqingzhu@caas.cn
作者简介:
胡国铮,男,博士,研究方向:全球变化与农业环境数据观测;E-mail: 基金资助:
Guozheng Hu1,2,3(), Zhabu Ganzhu1,2, Peidong Yu1,2, Zhenlin Yang1,2, Qingzhu Gao1,2,3()
Received:
2020-12-01
Online:
2020-12-26
Published:
2021-03-11
Contact:
Qingzhu Gao
E-mail:huguozheng@caas.cn;gaoqingzhu@caas.cn
摘要:
长期定位观测是揭示全球环境结构与功能演变规律的重要研究手段,我国农业科学观测数据积累具有良好的实验站基础,已形成由土壤肥力网和种质资源圃网为代表的长期定位观测网络,但信息化程度较低,农业科学长期定位观测工作在系统化、标准化、网络化方面仍有较长的路要走。本文以农业环境科学观测数据为出发点,重点关注农业科学观测数据的跨领域融合问题,探讨农业环境与作物种质资源、土壤质量、病虫害、农业微生物、畜禽养殖、渔业资源环境、农产品质量安全的交叉与联系,研究农业环境对农业科学观测大数据融合的纽带作用。进一步论述了以农业环境为纽带的农业科学观测数据融合,建立了农业科学观测数据融合框架,讨论了农业科学观测大数据融合在联网观测、数据标准化、数据采集和数据融合等方面的条件。提出了在联网观测的基础上,着重发展学科交叉,推动数据标准化,稳定经费支持,保障数据采集,加强交叉学科研究,探索数据融合方法等建议,以期促进农业科学观测大数据融合发展,挖掘农业科学观测数据的价值,指导农业生产,为农业政策制定提供基础支撑。
中图分类号:
胡国铮, 干珠扎布, 余沛东, 杨振琳, 高清竹. 基于农业环境的农业科学观测数据融合研究[J]. 农业大数据学报, 2020, 2(4): 86-94.
Guozheng Hu, Zhabu Ganzhu, Peidong Yu, Zhenlin Yang, Qingzhu Gao. Research on Data Fusion in Agricultural Scientific Observation Based on of Agricultural Environment[J]. Journal of Agricultural Big Data, 2020, 2(4): 86-94.
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