Agricultural multi-source heterogeneous data analysis and mining method and application thereof

Abstract

The invention discloses an agricultural multi-source heterogeneous data analysis and mining method. The method comprises the steps of S1, agricultural multi-source heterogeneous data management; S2, establishing a multi-source heterogeneous data expression mechanism, and establishing a unified representation for the multi-source heterogeneous data, specifically comprising the following steps: S2-1, semantic object network construction and dynamic management update; S2-2, performing multi-modal content representation on the multi-source heterogeneous data, and classifying and marking the multi-source heterogeneous data to realize joint learning; and S3, association collaboration of multi-source heterogeneous data object modeling and associated data object migration. According to the scheme, through deep analysis and mining of agricultural data, practical application requirements are met, and a user can perform highly intelligent management on a farm anytime and anywhere and perform accurate monitoring and control on a farm production environment; in addition, the application provides technical guarantee for the unmanned farm to continuously exert science and technology in the fields of agricultural standardization, informatization, intelligentization and the like, and promotes the improvement of the agricultural science and technology and informatization level in China.

Description

technical field [0001] The technical solution of this application relates to the technical fields of data mining and machine learning, especially in the field of agriculture, aiming at the realization and analysis of multi-source heterogeneous big data acquired by various sensors, RFID, GPS positioning, visual collection terminals and other sensing devices in unmanned farms In this way, functions such as highly intelligent management of farms, remote environmental monitoring and monitoring, early warning of problems, and intelligent decision support can be realized, that is, an analysis and mining method of agricultural multi-source heterogeneous data and its application. Background technique [0002] my country is a large agricultural country, and agriculture is the foundation of the national economy. With the development of information technology and data technology, agricultural informatization has become an inevitable trend of agricultural development. With the widesprea...

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Problems solved by technology

In order to solve the problems of heterogeneous forms and complex associations of multi-source heterogeneous data generated by multiple sensing devices in unmanned farms, a unified representation and association collaboration method for multi-source heterogeneous data in unmanned farms is proposed to play a technological role in unmanned farms Provide technical support in the fields of agricultural standardization, informatization, and intelligence, and promote the improvement of my country's agricultural technology and informatization level

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