Agricultural product growth environment big data detection system

A detection system and growth environment technology, applied in the direction of measuring devices, biological neural network models, instruments, etc., can solve the problems of farmland plant production yield, farmland soil yield prediction and production management, and farmland soil environment with large and complex areas. Achieve the effects of increasing feature inclusion and memory capabilities, avoiding underfitting and gradient disappearance, and solving gradient disappearance and surge
CN112665656AActive Publication Date: 2021-04-16HENAN YUANFENG TECH NETWORK CO LTD

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
HENAN YUANFENG TECH NETWORK CO LTD
Publication Date
2021-04-16

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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.
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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...

Claims

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