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Plant cultivation method based on intelligent data collection and the cloud service technology

A technology for intelligent data collection and plant cultivation, applied in botany equipment and methods, plant cultivation, neural learning methods, etc., can solve problems such as inability to control malnutrition or withering, lack of cultivation experience, etc., to achieve complete memory and modeling The effect of high precision and simple encoding process

Inactive Publication Date: 2018-10-23
CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY +1
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problem of malnutrition or withering caused by lack of cultivation experience and inability to control the optimal cultivation scheme in the existing plant cultivation process, the present invention provides a plant cultivation method based on intelligent data collection and cloud service technology

Method used

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  • Plant cultivation method based on intelligent data collection and the cloud service technology
  • Plant cultivation method based on intelligent data collection and the cloud service technology
  • Plant cultivation method based on intelligent data collection and the cloud service technology

Examples

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Embodiment

[0054] Such as figure 1 As shown, a plant cultivation method based on intelligent data collection and cloud service technology includes the following steps:

[0055] S1: Use hardware such as plant smart sensors to collect various environmental indicators of plants, plant images, watering amount, fertilization amount, and fertilization type, and form an influencing factor matrix X to upload to the cloud server. The decision variables are watering amount, fertilization amount, Fertilization type.

[0056] The health degree y is obtained through the statistics of the physiological indicators of Luluo 1 , water shortage y 2 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 , image x 7 , Watering amount x 8 , fertilization amount x 9 , fertilization type x 10 , ambient humidity x 11 A total of 10 variables, all sample data are the data of a green Luo's daily life.

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Abstract

The invention discloses a plant cultivation method based on intelligent data collection and cloud service technology. The method comprises: S1, collecting plant growth indicators, the watering amount,the fertilization amount and the fertilization type, forming an influence factor matrix X, and uploading to the cloud server, wherein the decision variables are the watering amount, the fertilizationamount and the fertilization type; S2, determining plant health indexes, forming an indicator matrix Y, performing training and testing by an Elman neural network, and establishing a plant cultivation model; S3, optimizing the plant cultivation model by using the MOPSO algorithm to obtain a set of optimal solutions for each decision variable and plant health indexes corresponding to the optimal solutions; and S4, predicting the real-time data by using the model in the S3 to obtain a recommended decision X<*>, sending the X<*> to a user terminal, displaying the recommended optimal watering amount, fertilizing amount and fertilizing type in the user interface, a user remotely operating a device control sensor through the user terminal to complete automatic watering and automatic fertilization.

Description

technical field [0001] The invention relates to the field of intelligent plant cultivation, in particular to a plant cultivation method based on intelligent data collection and cloud service technology. 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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/08A01G22/00
CPCA01G22/00G06N3/08
Inventor 张志亮管雪姿乔榆玎李家庆向明刚李太福周伟段棠少尹蝶
Owner CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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