Plant culture method and system based on IoT (Internet of things) big data analysis

A technology of plant cultivation and big data, applied in the field of plant cultivation methods and systems based on big data analysis of the Internet of Things, can solve the problems of plant growth deviating from expected indicators, unable to provide suitable growth environment for plants, etc.

Active Publication Date: 2017-02-22
重庆扩博科技有限公司
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Problems solved by technology

[0004] The present invention provides a plant cultivation method and system based on big data analysis of the Internet of Things to solve the problem in the prior art th...

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  • Plant culture method and system based on IoT (Internet of things) big data analysis
  • Plant culture method and system based on IoT (Internet of things) big data analysis
  • Plant culture method and system based on IoT (Internet of things) big data analysis

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Embodiment Construction

[0022] figure 1 It shows the flow of the plant cultivation method based on the big data analysis of the Internet of Things according to the embodiment of the present invention.

[0023] Such as figure 1 Shown, the plant cultivation method based on Internet of Things big data analysis of the present invention comprises:

[0024] Step S1: Collect plant species, growth period, soil humidity, soil pH, light intensity, ambient temperature, ambient humidity, images, watering amount, fertilization amount, and fertilization type to form an influencing factor matrix X, and upload it to the server; Among them, watering amount, fertilization amount and fertilization type constitute decision variables.

[0025] Get the health index y of the plant through statistics 1 The most influential variable is: plant species x 1 , growth period x 2 , soil moisture x 3 , soil pH x 4 , light intensity x 5 , ambient temperature x 6 , ambient humidity x 7 , image x 8 , Watering amount x 9 , ...

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Abstract

The invention provides a plant culture method and system based on IoT (Internet of things) big data analysis, wherein the method comprises the steps of collecting plant species, soil humidity, a soil pH value, illumination intensity, environment temperature, environment humidity, images, watering quantity, fertilizing amount and fertilizing types; forming influence factor matrices X; uploading the influence factor matrices X to a server, wherein the watering quantity, the fertilizing amount and the fertilizing types form decision variables; building a complicated non-linear relationship between plant health indexes and all influence factor matrices X of plants in the server by an Elman neural network, and obtaining a plant culture model; optimizing the plant culture model by an NSGA-II algorithm, and obtaining a group of optimal solutions of the decision variables; using the group of optimal solutions of the decision variables as a plant recommendation decision X*, and issuing the recommendation decision to terminal equipment of a user through the server for displaying; culturing the plants by the user according to the recommendation decision displayed by the terminal equipment. By using the plant culture method and system provided by the invention, an optimal plant culture scheme can be determined; better living environment is created for the plants.

Description

technical field [0001] The invention relates to the field of plant intelligent cultivation, in particular to a plant cultivation method and system based on big data analysis of the Internet of Things. Background technique [0002] With the rapid development of the national economy, potted plants have entered thousands of households as a way to increase living comfort. But because most plant owners lack experience in planting plants, the plants grow in a sub-healthy environment for a long time. On the other hand, due to limited indoor space, plant owners will require plants to have different degrees of denseness according to their own conditions, so as to avoid space waste. [0003] At present, the problem that needs to be solved urgently is to establish a comprehensive plant cultivation model and feed back the plant health indicators to users, so that users can make timely adjustments to the plant cultivation plan. The various factors affecting the health of plants often r...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 周伟李家庆白竣仁吴凌杜明华唐海红陈实李晓亮易军李太福
Owner 重庆扩博科技有限公司
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