Agricultural big-data model and application thereof on agriculture

Abstract

The invention discloses an agricultural big-data model. A framework of the model is mainly composed of four parts, namely an agricultural data definition part, a sensor part, a data collection part and a data mining analysis part. Three main data streams, namely organization presentation of agricultural data, sensor data and mining analysis result feedback connect the four parts. The data mining analysis part includes data conversion, data integration, database building and mining analysis. Bases of database building and big-data mining analysis are a distributed architecture and a cloud platform. According to the model, data sources of mining analysis are broadened, analysis functions are deepened, and analysis results are more accurate. From the view of a current stage, application of big data in agriculture includes but is not limited to: agricultural visualization monitoring systems, more-accurate short-term, middle-term and long-term disaster prediction, close integration with agricultural remote sensing, agricultural product circulation systems, agricultural meteorology prediction and agricultural environment change trend prediction.

Description

technical field [0001] The invention relates to a big data model and its application in agriculture. Background technique [0002] The sensor part is the interface between the external environment and the system. From a large-scale perspective, it includes various local meteorological stations and remote sensing platforms. On a small scale, it includes GPS, smart sensors, radio frequency identification (RFID), laser scanners, handheld data collection devices for field work, and more. The sensor part also includes the agricultural Internet of Things technology that is currently receiving much attention. The Internet of Things is a short-distance wireless self-organizing network. The object-to-thing communication mode (M2M) is established between the above sensors. According to the agreed protocol, any item can be connected to the Internet. Connect for information exchange and communication to realize intelligent identification, positioning, tracking, monitoring and manageme...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the current lack of quantitative data support in the agricultural field, insufficient data mining capabilities, and difficulty

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