Journal of Agricultural Big Data >

2020 , Vol. 2 >Issue 1: 70 - 78

DOI: https://doi.org/10.19788/j.issn.2096-6369.200109

Construction of an Agricultural Big Data Platform for XPCC Cotton Production

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  • 1. National-Local Joint Engineering Research Center for XPCC’s Agricultural Big Data, Shihezi 832000, China
    2. Agriculture College of Shihezi University, Shihezi 832000, China
    3. The Key Laboratory of Oasis Eco-Agriculture of Xinjiang Production and Construction Corps, Shihezi 832000, China
    4. Nanjing Forest Police College, Nanjing 210023, China
    5. Administration of Agriculture and Rural Affairs of Xinjiang Production and Construction Corps, Urumchi 830002, China
    6. Aerospace Information Research Institute, Chinese Academy of Science, Beijing 100101, China
    7. Chinese Academy of Agricultural Mechanization Sciences, Beijing 100083, China
    8. College of Information Science and Technology, Shihezi University, Shihezi 832000, China

Received date: 2019-09-01

  Online published: 2020-06-02

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Abstract

The Xinjiang Production and Construction Corps (XPCC) have created a modern cotton planting system with regional characteristics in China. This new system advances Chinese production techniques in the aspects of agricultural intensification, scale, development of agricultural machinery, and application of modern agricultural technology. During the years of systematic development and performance, massive data were accumulated by XPCC in the cotton planting field. As big data technology has become an important driving force for the development of intelligent agriculture in China, how to apply this technology to further improve the intelligent level of the cotton planting system and realize the healthy, efficient, and sustainable development of the whole cotton industry chain is a key problem in strengthening and enhancing XPCC’s ability to reclaim and defend the Chinese border in the information age. Thus, we constructed a big data platform that covers the entire industrial chain for cotton production in China based on a mature commercial big data storage and analysis system framework to promote the cooperation of industry, colleges, and institutes for cotton production big data in the XPCC. This platform was comprised of data, model, system, and application layers from the bottom up. In each layer, the cotton production chain was analyzed using five dimensions of agricultural resources, agricultural monitoring, production management, agricultural machinery scheduling, and market prediction. After completion, the developed platform intends to provide big data for comprehensive management and sharing, remote-sensing monitoring, agricultural machinery operation monitoring and maintenance, intelligent decision-making, quality traceability, and market early warning and prediction services for cotton production to potential users involved in cotton production and management. Finally, this paper analyzes the problems encountered in data sharing, model upgrades, and service modes in the process of platform research and development, and puts forward some suggestions to provide references for agricultural big data resource sharing and platform construction in China.

Key words： cotton; big data; informatization agriculture; intelligent agriculture; Xinjiang; agricultural big data; industry chain; data platform

Cite this article

Xin Lv, Bin Liang, Lifu Zhang, Fuyu Ma, Haijiang Wang, Yangchun Liu, Pan Gao, Zhangze, HouTongyu . Construction of an Agricultural Big Data Platform for XPCC Cotton Production[J]. Journal of Agricultural Big Data, 2020 , 2(1) : 70 -78 . DOI: 10.19788/j.issn.2096-6369.200109

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