大数据在山东马铃薯全产业的应用及建设探索

doi:10.19788/j.issn.2096-6369.200104

摘要/Abstract

摘要：

本文重点就山东马铃薯全产业现有数据进行分析，从而掌握生产、流通、仓储、加工等环节的特点。生产环节数据分析得知山东马铃薯采用春秋两季种植模式，种植区域分布以滕州、胶州为主；流通环节数据分析得知市场价格波动呈现“三年一周期”的规律，精细化管理效益突出，出口山东居全国之首；仓储环节数据分析得知仓储能力尚能满足所需，冷库建设多发展现代新型恒温库；加工环节数据分析得知加工能力有待提升。本文设想山东马铃薯单品种大数据平台建设，生产环节发展现代精准农业，建设天地空一体的测控体系，指导智能生产；流通环节打造马铃薯电子商务网上交易系统，建设质量安全追溯系统，提高农产品质量安全水平；仓储环节提升马铃薯冷藏包装产业，加快建立冷藏、仓贮和物流联盟；加工环节发展马铃薯主食产品加工产业，推动加工企业集聚发展。切实加强顶层设计和统筹协调，强化大数据关键技术集成研发，推进数据共享开放、开发利用。继而提出未来马铃薯产业发展重点集中在加快调整区域布局、防范薯价波动过大、强化全产业链信息分析预警等方面，以期更好地引领马铃薯产业持续高质量发展。

关键词: 大数据, 山东马铃薯, 全产业, 应用, 建设, 农业大数据, 产业链

Abstract:

This paper analyzes the existing data for the Shandong potato industry to understand its production, circulation, storage, and processing characteristics, among other elements. According to the data analysis of production in the Shandong potato industry, potatoes are planted in spring and autumn, with Tengzhou and Jiaozhou as the main planting areas. According to the data analysis of circulation, the market price fluctuation shows the rule of “three years/one cycle,” with outstanding and refined management benefits. Potato exports from Shandong are the highest among potato exports in China. According to the data analysis of storage, the potato storage capacity can still meet local needs and cold storage constructions have been developed to include more modern and constant temperature storage facilities. According to the data analysis of processing, improvement is still needed in processing capacity. This paper outlines the construction of a big data platform for a single variety of Shandong potato. Modern precision agriculture in production will develop a measurement system that integrates all production elements and spaces will be constructed to guide intelligent production. In the circulation element, online e-commerce trading and safety traceability systems for potatoes will be constructed in addition to developing the quality of agricultural products. For the storage element, a potato refrigeration–packaging industry will be promoted, including the accelerated establishment of cold storage, warehouse storage, and logistics alliances. In the processing element, a staple potato food processing industry will be developed alongside the promotion of the cluster development of processing enterprises. We will effectively strengthen top-level designs, consolidate and integrate research into key technologies for big data, and promote data sharing, opening up, development, and utilization. By speeding up the adjustment of regional layouts, preventing excessive fluctuation of potato prices, and strengthening the information analysis and early warning for the whole industry chain, we can better lead the sustainable and high-quality development of the Shandong potato industry.

Key words: big data, Shandong potato, industry, application, construction, agricultural big data, industry chain

中图分类号:

G203

赵佳, 阮怀军, 封文杰. 大数据在山东马铃薯全产业的应用及建设探索[J]. 农业大数据学报, 2020, 2(1): 29-35.

Jia Ruan Huaijun Feng Wenjie Zhao. Big Data Applications and Construction for the Shandong Potato Industry[J]. Journal of Agricultural Big Data, 2020, 2(1): 29-35.

图/表 2

参考文献 18

1	吴亚军.马铃薯主粮化的必要性和可行性研究[J].农民致富之友,2019,07.
	Wu Y J. Necessity and Feasibility of Potato Main Grain Production[J]. Friends of Farmers to Get Rich, 2019,07.
2	李文华,吕典秋,闵凡祥.中国、荷兰和比利时马铃薯生产概况对比分析[J].中国马铃薯,2018,01.
	Li W H, Lv D Q, Min F X. Comparative Analysis of Potato Production in China, Netherlands and Belgium[J]. Chinese Potato Journal, 2018,01.
3	宋长青,高明秀,周虎.高等农业院校农业大数据研究现状及发展思路[J].中国农业教育,2014,05.
	Song C Q, Gao M X, Zhou H. Research Status and Development Ideas of Agricultural Big Data in Agricultural Colleges and Universities[J]. Agricultural Education in China, 2014,05.
4	罗善军,何英彬,罗其友.中国马铃薯生产区域比较优势及其影响因素分析[J].中国农业资源与区划,2018,05.
	Luo S J, He Y B, Luo Q Y. Regional Comparative Advantage of Potato Production in China and Its Influencing Factors[J]. Agricultural Resources and Regionalization in China, 2018,05.
5	关佳晨,蔡海龙.我国马铃薯生产格局变化特征及原因分析[J].中国农业资源与区划,2019,03.
	Guan J C, Cai H L. Characteristics And Causes Of Potato Production Pattern Changes in China[J]. Agricultural Resources and Regionalization in China, 2019,03.
6	罗其友,高明杰,刘洋,等.2017-2018年中国马铃薯产业发展态势[J].马铃薯产业与脱贫攻坚,2018,07.
	Luo Q Y, Gao M J, Liu Y, et al. Development Trend of Potato Industry in China from 2017 to 2018[J]. Potato Industry and Poverty Alleviation, 2018,07.
7	周向阳,张晶,彭华,等.2017年马铃薯市场形势分析及2018年前景展望[J].中国蔬菜,2018,02.
	Zhou X Y, Zhang J, Peng H, et al. Analysis of Potato Market Situation in 2017 and Prospect in 2018[J]. Chinese vegetables, 2018,02.
8	周向阳,张洪宇,张晶,等.2018年上半年马铃薯市场形势分析及下半年走势预测[J].中国蔬菜,2019,(02):8-11.
	Zhou X Y, Zhang H Y, Zhang J, et al. Analysis of Potato Market Situation in the First Half of 2018 and Prediction of Potato Market Trend in the Second Half of 2018[J]. Chinese vegetables, 2019,(02):8-11.
9	韩黎明,童丹.中国马铃薯产业质量标准体系建设研究[J].中国食物与营养,2016,05.
	Han L M, Tong D. Study on the Construction of Quality Standard System of Potato Industry in China[J]. Food and Nutrition in China, 2016,05.
10	张德亮,郭华春.云南省马铃薯产业发展刍议[J].马铃薯产业与小康社会建设,2014,07.
	Zhang D L, Guo H C. On the Development of Potato Industry in Yunnan Province[J]. Potato Industry and Construction of a Well-off Society,2014,07.
11	周国民,樊景超.农业科学观测数据汇聚管理平台设计与实现[J].农业大数据学报,2019,01(03):38-45.
	Zhou G M, Fan J C. Design and Implementation of Agricultural Science Observation Data Collection Management Platform[J].Journal of Agricultural Big Data,2019,01(03):38-45.
12	沈学善, 刘小谭,王平,等.西南地区马铃薯机械化种植现状、问题与建议[J].耕作与栽培,2018,02.
	Shen X S, Liu X T, Wang P, et al. Present Situation, Problems and Suggestions of Potato Mechanized Planting in Southwest China[J].Tillage and Cultivation, 2018,02.
13	Luyan Niu, Xiaoyan Zhang. A Study of Estimation Model for the Chlorophyll Content of Wheat Leaf Based on Hyperspectral Imaging [J]. Asian Agricultural Research, 2017,9(11):58-61.
14	Fengyun Wang, Jiye Zheng, Lin Mei. Design and Development of Intelligent Monitoring System for Plastic Tea Greenhouse [C]. CCTA Part I, 2013: 443-449.
15	李秀峰,陈守合,郭雷风.大数据时代农业信息服务的技术创新[J].中国农业科技导报,2014,04.
	Li X F, Chen S H, Guo L F. Technological Innovation of Agricultural Information Service in the Age of Big Data[J]. Report on Agricultural Science and Technology in China, 2014,04.
16	陈朝阳.农业大数据技术研究现状与发展趋势[J].电脑知识与技术,2017,05.
	Chen Z Y. Research Status and Development Trend of Agricultural Big Data Technology[J]. Computer Knowledge and Technology, 2017,05.
17	Jia Zhao, Jianfei Wang, Wenjie Feng. Research and Exploration of Rural and Agricultural Information Service –Taking Shandong Province as a Case [C]. Computers and Electronics in Agriculture, 2016: 557-562.
18	Wenjie Feng, Lei Wang, Jia Zhao, et al. Research on agricultural development based on Internet [C]. Computers and Electronics in Agriculture, 2016: 563-569.

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