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Research on Key Technologies of Intelligent Agriculture based on Agricultural Big Data

文献类型: 外文期刊

作者: Hao, Fengqi 1 ; Luo, Xuan 1 ; Mu, Chunhua 2 ;

作者机构: 1.Natl Supercomp Ctr Jinan, Shandong Comp Sci Ctr, Shandong Prov Key Lab Comp Networks, Jinan, Peoples R China

2.Shandong Acad Agr Sci, Maize Inst, Jinan, Peoples R China

关键词: intelligent agriculture;big data;crop growth;comprehensive evaluation

期刊名称:2016 INTERNATIONAL CONFERENCE ON SMART CITY AND SYSTEMS ENGINEERING (ICSCSE)

ISSN:

年卷期: 2016 年

页码:

收录情况: SCI

摘要: The intelligent perception nodes for farmland environment information has the features of low cost and high efficiency, and with it the data in multiple crop growth cycle are available. Based on this, this paper, after making clear the relationship between farmland environmental factors and crop growth cycle and crop yield, aims at the establishment of environment-production model and building the system of crop growth environment perception and intelligent decision, in order to analyze agricultural data and give constructive advice about agricultural production, agricultural layout and agricultural scientific research.

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