Journal of Agricultural Big Data >
Research on the Construction of the Agricultural Big Data Information Platform
Received date: 2021-05-15
Online published: 2021-08-31
[Concepts]The agricultural big data information platform is a comprehensive system that collects data from agricultural production experiences to realize the informatization, digitization and intelligence of an agricultural industry using modern technologies such as big data and the Internet of Things. [Current Research Status] Big data is pushing forward the construction of modern agriculture in China. A key theme of agricultural development is the use of high technology, guided by policy, to develop intelligent agriculture. [Summary]The construction method and proposed implementation for the agricultural big data information platform are reviewed. In this exercise, we address the characteristics of agricultural big data, describe the core functions of the agricultural big data platform, and explore standard specifications of digital agriculture. We also propose various sampling strategies, combined with a distributed information network and modular agricultural data collection platform. The goal is to implement precise variable management measures to yield low-input, high efficiency, and sustainable agricultural data production. [Outlook]In China, there is currently a strong focus on enhancing agricultural productivity through using digital approaches and big data information platforms. The development of agricultural information collection technologies and methods is important for promoting high-quality agricultural development in China, building digital agriculture, and becoming globally recognized in the agricultural sector.
Qiang Li, Maofang Gao, Ying Fang . Research on the Construction of the Agricultural Big Data Information Platform[J]. Journal of Agricultural Big Data, 2021 , 3(2) : 24 -30 . DOI: 10.19788/j.issn.2096-6369.210203
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