Intelligent farming management system

Abstract

An intelligent farming management system comprises a pasture sub system and a service sub system. The pasture sub system comprises a sensor which can extract information of the temperature, the weight, the movement and the acid-base property of animals and obtain environmental information of a pasture, and actuators which can sense signals of the sensor and transmit the signals to a cloud, wherein one actuator or more actuators serve(s) as the coordinator and the cloud of the pasture sub system, and the service sub system comprises a data transmission cloud module, a data processing and storage cloud module and a service module. The intelligent farming management system is high in intelligence degree and higher in management efficiency.

Description

technical field [0001] The invention belongs to the field of animal breeding and relates to an intelligent breeding management system. Background technique [0002] Animal farming is an important part of agriculture and in many places a key pillar of the rural economy. However, the traditional animal breeding industry is based on artificial breeding. The level of technology in breeding management is low, the production speed is slow, and it is difficult to scale up. [0003] In order to solve the problems existing in traditional animal breeding, in recent years, a scientific animal breeding system based on electronic and information technology has been proposed and has begun to be applied. These animal breeding systems can accurately collect animal information and submit it to the farm for scientific predictive analysis, and ultimately realize intelligent management of animals. [0004] With the expansion of the scale of animal breeding and the further improvement of the i...

AI Technical Summary

Problems solved by technology

Therefore, it is urgent to establish a breeding management system that combines the technical advantages of mobile network, Internet, cloud computing and Internet of Things. However, the current breeding management system cannot meet these needs

Moreover, the current aquaculture management system is relatively scattered, and the maintenance cost for the software client is very high. There is a lack of an intelligent aquaculture management system based on cloud computing that combines sensors and actuators with low maintenance and operation costs.

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