Agricultural environment monitoring system based on big data

Abstract

The invention provides an agricultural environment monitoring system based on big data, and the system comprises an environment sampling module which carries out the collection of all-region agricultural environment data at a T moment, and stores the data to a big data cloud server; a big data matching module which obtains the all-region agricultural environment data of the big data cloud server, matches the all-region agricultural environment data with the sample data one by one, obtains the difference condition of the all-region agricultural environment data and the sample data, and divides a sub-region according to the difference condition; an environment modeling module which constructs a regional environment model according to the agricultural environment data in the sub-region; and a quality monitoring analysis module which inputs the sub-region agricultural environment data at the T+1 moment into the current regional environment model to obtain an environment regulation and control instruction at the T+1 moment. According to the invention, the zoning monitoring of a all-region agricultural environment is realized, grading modeling prediction can be carried out on soil and crop growth conditions in real time, and the automation degree of farmland monitoring and zoning management and control precision are improved.

Description

technical field [0001] The invention relates to the technical field of wires and cables, in particular to an agricultural environment monitoring system based on big data. Background technique [0002] Among the existing technologies, information technology is getting more and more attention in promoting the development of agriculture. Agricultural environment monitoring equipment collects important indicators in the agricultural production process, such as: meteorological information, soil nutrient conditions, etc., and monitors all agricultural production conditions, crop growth conditions, etc. Equipped with a wireless control system as required to remotely control hardware equipment such as irrigation and fertilization, and realize information detection and standardized production monitoring of agricultural bases. Provide continuous and reliable base agricultural environment parameters for the agricultural expert advisory system and agricultural big data analysis. Help ...

AI Technical Summary

Problems solved by technology

[0003] The current information-based agricultural ecological environment monitoring experience often adopts large-scale unified management and control, while ignoring the regional management and control strategies for different crops or the ecological environment of the same crop planting area, which leads to the inability of current monitoring methods to accurately and effectively monitor the agricultural environment Targeted irrigation or fertilization or air environment improvement, there are problems of low monitoring level and unscientific management

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