Internet of things-based green vegetable growth vigor analysis system

Abstract

The invention discloses an internet of things-based green vegetable growth vigor analysis system. The key point of the technical scheme is that the system comprises a generation unit, a timer shooting unit, a parameter display unit, a parameter setting unit and a parameter uploading unit, wherein the generation unit is used for generating unique anti-fake codes according to vegetable cultivation batches; the timer shooting unit is configured controlling a shooting device to shoot growth vigor images of vegetables when periodic counting achieves a predetermined time; the parameter display unit is used for receiving and displaying environment data processed by a controller; the parameter setting unit is used for respectively setting threshold values of temperature/humidity data, illumination intensity data, soil environment data and vegetable color intensity data; the parameter uploading unit is used for periodically uploading the temperature/humidity data, illumination intensity data, soil environment data, vegetable color data and growth vigor images of the vegetables of the batches to a database of the server to store according to the growth stages; and a user terminal scans the anti-fake code according to a carried code scanning function so as to obtain the environment data and growth vigor images of the vegetables of the batches from the server.

Description

technical field [0001] The invention relates to a green vegetable growth analysis system based on the Internet of Things. Background technique [0002] With the continuous accumulation of urban population in our country, the supply pressure of fresh vegetables is gradually increasing, and fresh vegetables must be the most cost-effective for the production around the city, but the land that can be used for planting around the city is often relatively scarce, and digital production and management is imperative . [0003] For vegetable farmers, in order to adapt to the scientific and technological production of modern agriculture and also conform to the trend of the times, the mechanism of instrument control in vegetable production and processing will benefit them a lot. Digital management will greatly increase production capacity and reduce the shackles of traditional agriculture relying on the sky. , Secondly, reducing labor costs can also produce high-quality agricultural p...

AI Technical Summary

Problems solved by technology

[0005] However, the greenhouse vegetable system in the prior art has the following disadvantages: (1) It is too dependent on manpower, the degree of automation is not high, and the work efficiency is too low; (2) It is not intelligent enough to analyze the changes of environmental factors in the greenhouse in time, Cannot actively adjust environmental factors, so that greenhouse vegetables cannot grow in the best environment; (3), not enough information, no complete central database, unable to realize efficient and comprehensive monitoring of different growth stages of various greenhouse vegetables and management; therefore, some room for improvement exists

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