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

文献类型: 外文期刊

第一作者: Hao, Fengqi

作者: Hao, Fengqi;Luo, Xuan;Mu, Chunhua

作者机构:

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.

分类号:

  • 相关文献

[1]A Hybrid Sensory Evaluation System for Vegetable Breeding Selections. Liu Xiaoqiang,Guo Jiale,Jiang Ke,Song Hui,Zhao Xiaoyan,Ma Yue. 2012

[2]The Process of Metropolis Modern Agriculture Low-carbon Economic Evaluation and Suggestions-Taking Daxing District For An Example. Jiang Cuihong,Li Hong,Li Hong,Li Guangyong. 2011

[3]Wheat Growth and Photosynthesis as Affected by Oxytetracycline as a Soil Contaminant. Li Zhao-Jun,Xie Xiao-Yu,Zhang Shu-Qing,Liang Yong-Chao.

[4]Long-term effective microorganisms application promote growth and increase yields and nutrition of wheat in China. Hu, Cheng,Qi, Yingchun. 2013

[5]Global sensitivity analysis and calibration of parameters for a physically-based agro-hydrological model. Xu, Xu,Huang, Guanhua,Xu, Xu,Huang, Guanhua,Sun, Chen,Mohanty, Binayak P.. 2016

[6]The growth and antioxidant defense responses of wheat seedlings to omethoate stress. Liang, Yongchao,Zhang, Bo,Chu, Guixin,Wei, Changzhou,Ye, Jun,Li, Zhiqiang,Zhang, Bo.

[7]The Methodology of Monitoring Crops with Remote Sensing at the National Scale. Wu, Quan,Sun, Li,He, Yajuan,Wang, Fei,Wang, Danqiong,Jiao, Weijie,Wang, Haijun,Han, Xue. 2016

[8]Agricultural cooperatives and the role of organisational models in new intelligent traceability systems and big data analysis. Giagnocavo, Cynthia,Bienvenido, Fernando,Sanchez-Molina, Jorge Antonio,Ming, Li,Yang Xinting,Zhao Yurong. 2017

[9]Design of Mobile Message Push Service Platform Based on User Characteristics Big Data. Xu, D.,Hu, Y. X.. 2015

[10]Application and Implementation of Private Cloud in Agriculture Sensory Data Platform. Jiang, Shuwen,Chen, Tian'en,Dong, Jing,Jiang, Shuwen,Chen, Tian'en,Dong, Jing,Jiang, Shuwen,Chen, Tian'en,Dong, Jing,Jiang, Shuwen,Chen, Tian'en,Dong, Jing. 2016

[11]Linking and Consuming Agricultural Big Data with Linked Data and KOS. Xian, Guojian,Zhao, Ruixue,Meng, Xianxue,Kou, Yuantao,Zhu, Liang. 2015

[12]Research on Big Data Technology-Based Agricultural Information System. Xie, N. F.,Zhang, X. F.,Sun, W.,Hao, X. N.. 2015

[13]The Countermeasures of Carrying on Web of the Research Institutions in the Era of Big Data - Consider the Web of Chinese Academy of Agricultural Sciences. Zhang, Liping,Zhang, Liping. 2016

作者其他论文 更多>>