Intelligent irrigation system based on big data

Abstract

The invention discloses an intelligent irrigation system based on big data. The intelligent irrigation system comprises a cloud platform, a user management module, an environment monitoring module, awater quantity prediction module, an equipment monitoring module and an auxiliary material adding module. The intelligent irrigation system is provided with the environment monitoring module, so the crop growth environment is monitored, whether crops need to be irrigated or not is judged according to a monitoring result, and a user can know the state of the crops in real time; the intelligent irrigation system is provided with the water quantity prediction module, in which the historical data and an artificial intelligence algorithm are utilized to predict the irrigation water quantity of thecrops, so that the irrigation efficiency of the crops is improved, and the waste of water resources can be avoided; and the intelligent irrigation system is provided with the auxiliary material addingmodule for judging whether auxiliary materials need to be added or not according to the states of crop leaves, the judgment accuracy is high, and the utilization rate of the auxiliary materials can be increased.

Description

technical field [0001] The invention belongs to the technical field of agricultural irrigation, in particular to an intelligent irrigation system based on big data. Background technique [0002] In the development of agriculture, irrigation has always played a decisive role in the growth of crops. The existing agricultural irrigation system exists in isolation. Agricultural cultivators rely entirely on weather forecast information to irrigate by observing the soil moisture in the field, which is very energy-consuming and cannot be completed. Ensure that the irrigation time is appropriate, without forming a suitable and precise crop irrigation control system, which is not conducive to the good growth of crops; at the same time, the existing intelligent irrigation systems often use timed irrigation, which cannot intelligently adjust the irrigation amount according to the environmental conditions, often causing water pollution. Waste of resources. [0003] The invention patent...

AI Technical Summary

Problems solved by technology

[0004]The above scheme uses the cloud server to intelligently adjust the irrigation amount combined with the weather environment and soil humidity, effectively saving water, and generates a management table based on historical data, and users can view it according to the management table The amount of irrigation in each time period; however, the above-mentioned scheme combines less ground source data information, does not distinguish the irrigation information of different crops, and the management table is relatively old, which is inconvenient to apply and has insufficient accuracy; therefore, the above-mentioned scheme still needs further improvement

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