The Implementation of a Practical Agricultural Big Data System

Xingqi Wang, Kai Yang, Tailian Liu
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引用次数: 3

Abstract

Agricultural big data is growing rapidly and it faces many known and unknown obstacles. This paper focuses on the need for managing farms effectively and making decisions accurately. Using agricultural IoT technology, big data technology and machine learning algorithms, the big data application system is established. Including data collection, data storage, data analysis and visualization management, we present a complete scheme. Through the agricultural big data system, the production cost is reduced and the production efficiency is improved.
农业大数据系统实用化实施
农业大数据发展迅速,面临着许多已知和未知的障碍。本文着重讨论了有效管理农场和准确决策的必要性。利用农业物联网技术、大数据技术和机器学习算法,建立大数据应用体系。从数据采集、数据存储、数据分析和可视化管理四个方面提出了完整的方案。通过农业大数据系统,降低生产成本,提高生产效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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