Farmland fertility data collect and analysis system based on data mining

Abstract

The invention discloses a farmland fertility data collect and analysis system based on data mining and relates to the technical field of farmland accurate variable rate fertilization operation. The farmland fertility data collect and analysis system based on the data mining comprises a sensor data collect module, a global positioning system (GPS) positioning module, a data blind source separation module, a multi-data integration fusion module, a data mining module, a database module, a sensor supervisory module and an upper and lower computer communicating module. Due to the fact that the data mining module and the upper and lower computer communicating module are added to a sensor data collect and analysis system, the farmland fertility data collect and analysis system can effectively analyze analytical data of various sensors. By means of the data mining module, the farmland fertility data collect and analysis system analyzes real-time data collected by the various sensors, obtains certain regularity, generates content asocciation rules of soil matters such as moisture, carbon, phosphorus, potassium and heavy metal about different land parcels, and transmits the association rules to the upper and lower computer communicating module, the upper and lower computer communicating module sends a control order to a central control system, and therefore different accurate operation models can be carried out to the land parcels of different space and different time. Therefore, a purpose of accurate fertilization and irrigation can be achieved.

Description

technical field [0001] The invention relates to the technical field of farmland precision variable fertilization operations, in particular to a data mining-based farmland fertility data collection and analysis system. Background technique [0002] Precision Agriculture is a system that implements a complete set of modern agricultural operation techniques and management systems based on spatial variation, positioning, timing, and quantification, supported by information technology. Spatial variation, effectively adjust the input of agricultural materials to crops, determine the production goals of crops, implement "data acquisition, formula optimization, technology integration, and scientific management", maximize soil productivity, and achieve the highest economic benefits and environmental protection with the least input Benefits, while improving the environment, efficient use of various agricultural resources. [0003] Precision agriculture is based on real-time data coll...

AI Technical Summary

Problems solved by technology

[0004] Because it is difficult for us to intuitively obtain the essential and potential knowledge of the data, it leads to the phenomenon of "data explosion but poor knowledge"

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