Journal of Agricultural Big Data >
Construction and Application of Big Data Platform for Intelligent Apiculture
Received date: 2021-02-27
Online published: 2021-05-18
In order to help solve problems such as low level of informatization, asymmetry of industry information, low management efficiency, lack of guarantee for the quality of bee products, and heavy operations of bee farming, the research was carried out on building a big data platform for beekeeping, including information collection, data management, decision analysis and data visualization.
By means of technologies of internet of Things, 3S(Remote Sensing、Geography Information Systems、Global Positioning Systems), artificial intelligence, embedded, unmanned aerial vehicles, mobile Internet and anti-counterfeiting traceability, big data information collection channels in the apiculture were built. According to a five-layer design model, including the data collection layer, data resource layer, business support layer, application system layer and user layer, we developed a big data platform of intelligent apiculture based on the construction idea of "1+1+1+N".
A big data center of intelligent apiculture with a total data volume of about 40TB, which has multiple dimensions, such as bee farm environment, bee colony breeding, the quality and safety of bee products in the whole industry chain, and public information, and a big data management platform and visualization system for the intelligent apiculture have been established. After demonstration applications in Miyun District of Beijing and Zhushan County of Hubei Province, some achievements have been made in data production, data management, data decision-making and data service.
This research conducted in-depth analysis from the aspects of overall architecture construction, platform design, database construction, technology implementation and system application, the platform realizes the information collection, intelligent management and control, auxiliary decision-making and public application services of the entire chain of the bee industry. It can help improve the level of intelligence, standardization and informatization of the bee industry and conducive to the quality improvement, cost saving and efficiency increase. This set of technical solutions and design ideas can provide references for constructing big data platforms in other industries.
Jie Zhang, Shengping Liu, Huili Yue, Lü Chunyang, Wei Hong . Construction and Application of Big Data Platform for Intelligent Apiculture[J]. Journal of Agricultural Big Data, 2021 , 3(1) : 3 -13 . DOI: 10.19788/j.issn.2096-6369.210101
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