Agricultural big data platform based on cloud

Abstract

The invention discloses a cloud-based agricultural big data platform, which comprises a system integration platform, an intermediate database and an application integration system, and is characterized in that the system integration platform comprises a digital agricultural on-line data acquisition module, a digital agricultural on-line data control module, a digital agricultural on-line data monitoring module, a digital agricultural on-line data alarm module, a facility digital production system, a digital model and standardized safety production regulations; resource sharing and remote management are provided; the system integration platform selects a WebGIS and configuration animation embedding technology. The agricultural big data platform based on the cloud relates to the application of big data, Internet of Things, Beidou, artificial intelligence and other technical means in the agricultural field, acquires agricultural resource elements, production process and other data in real time, and realizes precision, automation, intelligence and standardization of agricultural production and management; through intelligent analysis and decision-making of agricultural big data, the government can comprehensively grasp agricultural conditions, more efficient and comprehensive support is provided for agricultural development, and the purpose of speaking by using data and making decisions by using data is achieved.

Description

technical field [0001] The invention relates to the technical field of agricultural big data, in particular to a cloud-based agricultural big data platform. Background technique [0002] Agricultural big data has obvious big data characteristics such as huge quantity, complex structure, diverse forms, real-time changes and important information, which makes it more difficult for people to collect, transmit, store, manage and cluster decision-making. The data sharing mechanism is not smooth: most of the application systems of relevant departments are vertical and isolated systems, and the low degree of information sharing cannot provide scientific overall value for the overall development of agriculture. The comprehensive utilization rate of data is not high: agricultural data involves many types of data, the data structure is inconsistent, the data quality is uneven, the workload of data analysis and sorting is heavy, and the comprehensive utilization rate of data is not hig...

AI Technical Summary

Problems solved by technology

The construction flexibility of the agricultural big data platform is not strong, and the actual data expansion capacity needs to be improved

After all, the data itself lacks a unified standard. If the original standard is still used in data collection and storage, it will inevitably bring certain restrictions to the later system upgrade and data expansion.

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