Intelligent agriculture system

Abstract

The invention provides an intelligent agriculture system. The intelligent agriculture system comprises a data acquisition unit, a central processor, a cloud server, a government monitoring unit and an expert guidance unit. The data acquisition unit is connected with the central processor through a CAN bus. The central processor communicates with the cloud server through the network. The government monitoring unit and the expert guidance unit communicate with the cloud server through the network. The government monitoring unit shares information with the expert guidance unit. The data acquisition unit acquires environmental conditions during product growth processes so as to allow the government to be capable of monitoring planting of agriculture products and giving agriculture product planting guidance depending on an expert platform. The government monitoring unit shares information with the expert guidance unit, so mutual supervision between the government and the expert can be achieved, wherein agriculture experts supervise policies formulated by the government and the government supervises the agriculture experts who provide guidance to farmers.

Description

technical field [0001] The invention relates to the technical field of agricultural systems, in particular to an intelligent agricultural system. Background technique [0002] The Internet of Things is an important part of the new generation of information technology, and it is also an important stage of development in the "informationization" era. The Internet of Things is the internet of connected things. This has two meanings: first, the core and foundation of the Internet of Things is still the Internet, which is an extended and expanded network based on the Internet; Exchange and communication are also closely related. [0003] With the development of the Internet of Things, the technology of the Internet of Things has become more mature, and my country's agriculture has gradually developed from extensive agriculture to refined and intelligent. The traditional crop planting environment mainly relies on the sensory experience of planters, without accurate and reliable...

AI Technical Summary

Problems solved by technology

The traditional crop planting environment mainly relies on the sensory experience of the planters, without accurate and reliable quantitative data, and completely relies on manual control of the planting process, which makes it impossible to conduct all-round supervision, control and management of the crop planting environment

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