A large data agricultural management system

Abstract

The invention discloses a big data agricultural management system. The system includes an Internet of things sensor platform, a big Data Analysis Platform, a meteorological warning and forecasting platform, a Platform for Disease and Pest Control and Disaster Early Warning, a real-time mobile monitoring platform, a Platform for Agricultural Management and Production Forecasting. The large-data agricultural management system realizes the collection of agricultural data in the agricultural greenhouse, data on human nutritional status, Genomic analysis of biological populations, analyzing of therelationship between the parameters of crop growing environment, forecast of weather conditions, the monitoring of agricultural products and food production environment, industrial chain management, pre-production, post-production, warehousing and processing, logistics data, the analysis of agricultural products sales price, sales volume, sales demand, consumer purchase behavior data, the releaseand management of meteorological data and other information, the development of disease and insect pests, the prediction of the scope of influence and the regulation of various equipment.

Description

technical field [0001] The invention relates to the field of agricultural management, in particular to a big data agricultural management system. Background technique [0002] With the continuous development of various undertakings in the agricultural field of our country, the scope of agricultural big data technology is becoming wider and wider, especially the current increase in various links of agricultural activities, and the amount of data generated is also increasing. Therefore, There is also an increasing demand for agricultural data analysis. Agricultural big data technology refers to a data collection that combines regionality, seasonality, diversity, periodicity, and the characteristics of crops in agricultural data research. The data has a wide range of sources, diverse types, complex structures, and potential value. But it is also difficult to use. At present, my country's agricultural big data technology is not very mature, which restricts the economic developme...

AI Technical Summary

Problems solved by technology

Agricultural big data technology refers to a data collection that combines regionality, seasonality, diversity, periodicity, and the characteristics of crops in agricultural data research. The data has a wide range of sources, diverse types, complex structures, and potential value. But it is also difficult to use. At present, my country's agricultural big data technology is not very mature, which restricts the economic development of agriculture and other related fields.

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