Greenhouse automation system based on deep learning

Abstract

The invention discloses a greenhouse automation system based on deep learning, and belongs to the field of agriculture. The greenhouse automation system comprises data acquisition equipment, a greenhouse equipment gateway and a cloud server. The data acquisition equipment is in communication connection with the greenhouse equipment gateway through a ZigBee wireless technology, and the greenhouse equipment gateway is in communication connection with the cloud server through the Internet; the data acquisition equipment is used for acquiring the humidity, the temperature, the illumination intensity, the soil acidity and alkalinity and the carbon dioxide concentration in the air of the soil at a specified position in real time; the data is sent to the greenhouse equipment gateway through a wireless network; the greenhouse equipment gateway is used for forwarding the environment data received at the acquisition equipment to the cloud server through the Internet; the cloud server is also used for receiving an equipment instruction from the cloud server and operating greenhouse equipment to execute; and finally, when the greenhouse environment is abnormal, the greenhouse equipment can be automatically started to deal with problems, and automatic management of a greenhouse is achieved. The system does not need to be maintained frequently, and manpower cost is saved.

Description

technical field [0001] The technology relates to the field of agriculture, in particular to an agricultural automation system. Background technique [0002] In China, agriculture is the issue that gets most people's attention. At present, many places retain inefficient traditional farming methods, and the utilization rate of agricultural resources and agricultural production efficiency are not high. At the same time, due to the extensive use of manual management, the management method cannot meet the growing scale of greenhouse planting, so it is necessary to popularize an automated planting platform. [0003] The development of the modern Internet, the rapid development of the Internet of Things technology and cloud computing technology have provided technical support for the development of agricultural automation systems, so that the agricultural measurement and control system can be combined with the Internet of Things and cloud computing technology to develop in the dir...

AI Technical Summary

Problems solved by technology

At present, inefficient traditional farming methods are retained in many places, and the utilization rate of agricultural resources and agricultural production efficiency are not high

At the same time, due to the extensive use of manual management, its management methods cannot meet the growing scale of greenhouse planting, so it is necessary to popularize an automated planting platform

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