Abstract

In order to improve intelligent agricultural management, control and decision-making, in view of the practical needs of agricultural big data application, it is necessary to collect and process large amounts of agricultural data. In order to deal with these massive agricultural data, based on Hadoop large data analysis tool, a large agricultural data analysis and processing system is designed and implemented. Through its powerful distributed data processing capability, various agricultural related data can be analyzed efficiently and quickly. Experiments show that the system can effectively complete large-scale data processing and analysis of agriculture, mining useful information from massive data, so as to store and analyze agricultural data reliably and efficiently. The large-scale data system has important practical significance for improving the level of intelligent agriculture development.

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