Agricultural product growth environment big data detection system

Abstract

The invention discloses an agricultural product growth environment big data detection system which is composed of a soil environment parameter acquisition and evaluation platform and a farmland soil environment big data processing subsystem, and realizes farmland soil environment parameter detection and management and farmland parameter evaluation. The system effectively solves the problems that an existing farmland soil environment detection system does not influence the production yield of farmland plants according to nonlinearity and large lag of changes of farmland plant growth environment parameters, large and complex farmland soil environment areas and the like, and therefore farmland soil yield prediction and production management are greatly influenced.

Description

technical field [0001] The invention relates to the technical field of large data detection and processing of agricultural product growth environment, in particular to a large data detection system of agricultural product growth environment. Background technique [0002] In the agricultural production environment, many environmental factors such as temperature and humidity, soil pH, water content and inorganic salts are crucial to plant growth, and they all directly affect the growth quality and economic benefits of agricultural products. Since the collection of agricultural production environment information is often accompanied by obstacles such as complex types of information, real-time changes, wide collection areas, and complex spatial structures, the Internet of Things technology has overcome the obstacles in the collection of agricultural environmental information, and has a great impact on improving the quality of agricultural products and saving labor. It is of grea...

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Problems solved by technology

[0004] The invention provides a large data detection system for the growth environment of agricultural products. The invention effectively solves the problem of non-linearity, large lag and large and complex area of ​​the farmland soil environment that the existing farmland soil environment detection system does not change according to the parameters of the farmland plant growth environment. The impact of plant production yield, which greatly affects farmland soil yield prediction and production management issues

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