An Internet of Things-based plant growth environment selection system and method

Abstract

The present invention discloses a plant growth environment selection system and method based on the Internet of Things, which relates to the technical field of hydroponic cultivation. The data acquisition module sends the data obtained by the data acquisition terminal and the scanning terminal to the data processing module through the data acquisition terminal and the scanning terminal. The data processing module processes the data obtained by the data acquisition terminal and the scanning terminal, and then sends the processing result to the data analysis module. The data analysis module is used to analyze the plants to be planted in the culture solution according to the data obtained by the data acquisition terminal, so as to select the plants to be planted in each area of the culture tank and analyze the growth state of the plants. The planting adjustment module adjusts the planting method of the plants according to the analysis result of the data analysis module, so as to select independent planting or cross planting.

Description

Technical Field

[0001] The present invention belongs to the technical field of hydroponic cultivation, and specifically relates to a plant growth environment selection system and method based on the Internet of Things. Background Art

[0002] With the development of technology, people are gradually dissatisfied with the traditional cultivation method that relies on the land for food. Therefore, a new type of cultivation method that uses machines to simulate the natural growth environment has emerged. New cultivation methods such as facility cultivation and three-dimensional cultivation have appeared in people's vision and are collectively referred to as modern cultivation.

[0003] In the existing modern cultivation systems, only the growth element requirements of plants, such as water, nutrients, and temperature, are often considered, but the co-growth and inhibitory growth situations between plants are not considered. How to incorporate the co-growth and inhibitory growth characteristics between plants into the cultivation system. For this reason, a plant growth environment selection system and method based on the Internet of Things are provided herein. Summary of the Invention

[0004] The purpose of the present invention is to provide a plant growth environment selection system and method based on the Internet of Things.

[0005] The purpose of the present invention can be achieved through the following technical solutions: A plant growth environment selection system based on the Internet of Things includes a monitoring center, a database, a data collection module, a data processing module, a data analysis module, and a cultivation adjustment module.

[0006] A plant information library and a plant growth relationship sub-library are established in the database. The plant information library is used to store the cultivation condition information of the plants to be cultivated. The plant growth relationship sub-library includes a co-growth sub-library and an inhibitory growth sub-library. The data collection module sends the data obtained by the data collection terminal and the scanning terminal to the data processing module through the data collection terminal and the scanning terminal. The data processing module processes the data obtained by the data collection terminal and the scanning terminal, and then sends the processing result to the data analysis module. The data analysis module is used to analyze the plants to be cultivated in the culture solution according to the data obtained by the data collection terminal, so as to select the plants to be cultivated planted in each area of the culture tank and analyze the growth state of the plants. The cultivation adjustment module adjusts the cultivation method of the plants according to the analysis result of the data analysis module, so as to select independent cultivation or cross-cultivation.

[0007] Further, the specific establishment process of the plant information library includes;

[0008] Set up a plant information database, and establish several plant information subsets within the plant information database. Import the names of the plants to be planted into the plant information subsets, and then respectively establish a juvenile growth data sub-database, a growth stage growth data sub-database, and a mature stage growth data sub-database within the plant information subsets according to the names of the plants to be planted, and then import the corresponding growth factors.

[0009] Further, the establishment process of the plant growth relationship sub-database includes:

[0010] Create a list of plants to be planted; Mark a certain plant to be planted, and generate a synergistic plant subset and an inhibitory plant subset respectively;

[0011] Among other plants to be planted, import the plants to be planted that can promote the growth of the marked plant to be planted into the synergistic plant subset; Among other plants to be planted, import the plants to be planted that can inhibit the growth of the marked plant to be planted into the inhibitory plant subset.

[0012] Further, the data acquisition module consists of several data acquisition terminals and a scanning terminal. Install the data acquisition terminals at the corresponding positions according to requirements to obtain the planting data of the plants to be planted, and obtain the root data and leaf data of the plants through the scanning terminal.

[0013] Further, the data processing module is used to process the data obtained by the data acquisition module to determine the plants that can be planted. The process includes: According to the type of the culture solution, obtain the plants to be planted corresponding to this type of culture solution, and record all the plants to be planted suitable for this type of culture solution as the initial plant set;

[0014] According to the temperature and pH value of the culture solution, record all the plants to be planted in the initial plant set that meet the temperature and pH value of this type of culture solution as the adapted plant set.

[0015] Further, the process of the data processing module processing the data obtained by the scanning terminal includes:

[0016] Conduct atlas analysis on the obtained plant root scanning map and leaf scanning map in the sub-region to obtain the distribution of the plant roots in the culture solution, and at the same time obtain the outline of the leaves; According to the distribution of the plant roots in the culture solution, obtain the number of plant roots and the length of each plant root; According to the outline of the leaves, obtain the leaf size of the plant.

[0017] Further, the process of the data analysis module analyzing the plants to be planted in the culture solution includes:

[0018] The process of the data analysis module analyzing the plants to be planted in the culture solution includes:

[0019] Among the selected plants to be planted, select one plant to be planted, then plant it in an area of the culture tank, and mark this plant to be planted as a planted plant; obtain the subset of synergistic plants and the subset of inhibitory plants corresponding to the planted plant; if the plant to be planted exists in the subset of synergistic plants, it means that there is a synergistic growth relationship between the plant to be planted and the planted plant, and mark these plants to be planted as growth-promoting plants;

[0020] If the plant to be planted exists in the subset of inhibitory plants, it means that there is an inhibitory growth relationship between the plant to be planted and the planted plant, and mark these plants to be planted as growth-inhibiting plants;

[0021] Summarize all the growth-promoting plants to generate a set of growth-promoting plants;

[0022] When there is only one growth-promoting plant in the set of growth-promoting plants, select this growth-promoting plant;

[0023] When there are multiple growth-promoting plants in the set of growth-promoting plants;

[0024] Obtain the types of plant hormones secreted by each growth-promoting plant and the contents of plant hormones secreted during the corresponding juvenile, growth, and maturity periods;

[0025] Mark the plant species with the highest secretion of plant hormone content in each growth period respectively;

[0026] Then when the planted plant grows to the corresponding growth period, select the plant with the highest secretion of plant hormone content in the growth-promoting plant set corresponding to the growth period.

[0027] A selection method for a plant growth environment selection system based on the Internet of Things, including the following steps:

[0028] Step 1: Establish a plant information database and a plant growth relationship sub-database in the database;

[0029] Step 2: Obtain the planting data, root data, and leaf data of the plants to be planted through the data acquisition module;

[0030] Step 3: Process the data obtained by the data acquisition module through the data processing module to determine the plants that can be planted;

[0031] Step 4: Analyze the plants to be planted in the culture solution through the data analysis module, so as to select the plants to be planted in each area of the culture tank, analyze the growth status of the plants, and finally adjust the planting method of the plants according to the analysis results of the data analysis module through the planting adjustment module.

[0032] Compared with the prior art, the beneficial effects of the present invention are as follows: when it is necessary to plant multiple different plants in the same planting area, by obtaining the plant information in the synergistic growth sub-library and the growth inhibition sub-library of each plant, it is possible to give priority to promoting the mutual growth of plants during the planting process, thereby making the planting method of plants more reasonable and the growth rate faster; at the same time, it is possible to avoid the occurrence of mutual growth inhibition between plants, resulting in poor growth or even death of plants, thereby improving the planting efficiency and survival rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 is the schematic diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0034] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0035] As Figure 1 shown, a plant growth environment selection system based on the Internet of Things includes a monitoring center, a database, a data acquisition module, a data processing module, a data analysis module, and a planting adjustment module;

[0036] A plant information library is established in the database, and the planting condition information of the plants to be planted is stored in the plant information library. The specific establishment process of the plant information library includes;

[0037] Set up a plant information library, and establish several plant information subsets in the plant information library. Each plant information subset corresponds to a unique plant to be planted;

[0038] Import the name of the plant to be planted into the plant information subset, and then establish a juvenile growth data sub-library, a growth stage growth data sub-library, and a mature stage growth data sub-library in the plant information subset respectively according to the name of the plant to be planted;

[0039] Import the corresponding growth factors of the plants to be planted into the juvenile growth data sub-library, the growth stage growth data sub-library, and the mature stage growth data sub-library respectively. The growth factors include the type of hydroponic solution, the temperature of the hydroponic solution, the pH value of the hydroponic solution, environmental data, and light requirements; the environmental data includes environmental temperature and environmental humidity, and the light requirements include light intensity, light type, and light duration;

[0040] Import the reference root length range, reference root quantity range, and reference leaf size range of the corresponding plants to be planted into the juvenile growth data sub-library, the growth period growth data sub-library, and the maturity period growth data sub-library respectively;

[0041] The database also establishes a plant growth relationship sub-library, which includes a co-growth sub-library and an inhibitory growth sub-library. The establishment process of the plant growth relationship sub-library includes:

[0042] Create a list of plants to be planted;

[0043] Mark a certain plant to be planted, and generate a co-plant subset and an inhibitory plant subset respectively;

[0044] Among the other plants to be planted, import the plants to be planted that can improve the growth of the marked plant to be planted into the co-plant subset; among the other plants to be planted, import the plants to be planted that can inhibit the growth of the marked plant to be planted into the inhibitory plant subset.

[0045] The data acquisition module consists of several data acquisition terminals and a scanning terminal. Install the data acquisition terminals at the corresponding positions according to requirements to obtain the planting data of the plants to be planted, and obtain the root data and leaf data of the plants through the scanning terminal;

[0046] The specific process of the data acquisition terminal obtaining the planting data of the plants to be planted includes:

[0047] Determine the type of culture solution, divide the culture tank where the culture solution is located into several regions, then install the data acquisition terminals in the culture solution according to requirements, label the data acquisition terminals as i, i = 1, 2,..., n; then obtain the temperature and pH value of the culture solution in each region through the data acquisition terminals, and label the temperature and pH value of the culture solution in each region as WP i and SP i ; Set scales in the culture tank, and obtain the depth of the culture solution through the scales, denoted as H;

[0048] The process of the scanning terminal obtaining the root data and leaf data of the plants includes:

[0049] Regularly scan the roots and leaves of the plants in each region of the culture solution to obtain the root scan map and leaf scan map of the plants;

[0050] Send the data obtained by the data acquisition terminal and the scanning terminal to the data processing module.

[0051] The data processing module is used to process the data obtained by the data acquisition terminal. The specific processing process includes:

[0052] According to the type of culture solution, obtain the plants to be planted corresponding to this type of culture solution, and mark all the plants to be planted suitable for this type of culture solution, which is recorded as the initial plant set;

[0053] According to the temperature and pH value of the culture solution, further screen the plants to be planted in the initial plant set, and then select the plants to be planted that meet the temperature and pH value of this type of culture solution, which is recorded as the adapted plant set; then send it to the data analysis module;

[0054] It should be further noted that in the specific implementation process, after the plants to be planted are selected, during the growth process of the plants, regularly obtain the root data and leaf data of the plants through the scanning terminal to obtain the growth status of the plants. The process of the data processing module processing the data obtained by the scanning terminal includes:

[0055] Conduct atlas analysis on the plant root scanning map and leaf scanning map in the obtained sub-region to obtain the distribution of plant roots in the culture solution, and at the same time obtain the outline of the leaves;

[0056] According to the distribution of plant roots in the culture solution, obtain the number of plant roots, and at the same time obtain the length of each plant root;

[0057] According to the outline of the leaves, obtain the leaf size of the plants;

[0058] Send the processing result of the data processing module to the data analysis module.

[0059] The data analysis module is used to analyze the plants to be planted in the culture solution according to the data obtained by the data acquisition terminal, so as to select the plants to be planted in each area of the culture tank and analyze the growth state of the plants. The specific process includes:

[0060] Among the selected plants to be planted, select a plant to be planted, then plant it in an area of the culture tank, and record this plant to be planted as the planted plant;

[0061] According to this plant to be planted, call the corresponding synergistic plant subset and inhibitory plant subset;

[0062] Respectively obtain the plant species in the corresponding synergistic plant subset and inhibitory plant subset of the planted plant, and then match the plants to be planted in the adapted plant set with the plant species in the synergistic plant subset and inhibitory plant subset respectively;

[0063] If there are plants to be planted in the synergistic plant subset, it means that there is a synergistic growth relationship between this plant to be planted and the planted plant, and mark these plants to be planted as growth-promoting plants;

[0064] If the plant to be planted exists in the subset of inhibitory plants, it indicates that there is an inhibitory growth relationship between the plant to be planted and the planted plants, and these plants to be planted are marked as inhibitory growth type plants;

[0065] Summarize all the growth-promoting plants to generate a set of growth-promoting plants;

[0066] When there is only one growth-promoting plant in the set of growth-promoting plants, select this growth-promoting plant;

[0067] When there are multiple growth-promoting plants in the set of growth-promoting plants, mark the growth-promoting plants respectively, denoted as j, j = 1, 2,..., m; m is an integer, and m < n;

[0068] Obtain the types of plant hormones secreted by each growth-promoting plant and the contents of plant hormones secreted during the corresponding juvenile, growth, and maturity periods, and mark them as JH j幼 、JH j长 、JH j熟 ;

[0069] Mark the plant species with the highest secretion of plant hormone content in each growth period respectively;

[0070] Then when the planted plants grow to the corresponding growth period, select the plant with the highest secretion of plant hormone content in the corresponding growth period in the set of growth-promoting plants for mixed planting;

[0071] The data analysis module is also used to analyze the growth situation of plants. The specific process includes:

[0072] Obtain the growth period of the plant, then obtain the root reference length range, root reference quantity, and leaf reference size range in the corresponding juvenile growth data sub-library, growth period growth data sub-library, or maturity period growth data sub-library in the plant information subset, and then compare the number of plant roots, leaf size, and the length of each root obtained by the scanning terminal with the root reference length range, root reference quantity range, and leaf reference size range in the corresponding growth period. If it is less than the corresponding reference range, it is judged that the plant growth is poor;

[0073] Send the analysis result of the data analysis module to the planting adjustment module, and adjust the planting method of the plant through the planting adjustment module. The specific process includes:

[0074] When there are no other plants in the corresponding set of compatible plants for the planted plants, plant the planted plants independently;

[0075] When there are other plants to be planted in the set of adaptable plants corresponding to the already planted plants, mixed planting can be carried out according to requirements. Based on the environmental data and light requirements of the already planted plants, screen the other plants to be planted in the set of adaptable plants. If there are plants in the set of adaptable plants with the same environmental data and light requirements as the already planted plants, mark the plant to be planted, and then cross-plant the plant to be planted with the already planted plants.

[0076] When multiple different plants need to be planted in the same planting area, by obtaining the plant information in the co-growth sub-library and the growth inhibition sub-library of each plant, it is possible to give priority to promoting the growth of plants during the planting process, making the planting method of plants more reasonable and the growth rate faster. At the same time, it can avoid the situation of mutual growth inhibition between plants, resulting in poor growth or even death of plants, thus improving the planting efficiency and survival rate.

[0077] A selection method for a plant growth environment selection system based on the Internet of Things, comprising the following steps:

[0078] Step 1: Establish a plant information library and a plant growth relationship sub-library in the database;

[0079] Step 2: Obtain the planting data, root data, and leaf data of the plants to be planted through the data acquisition module;

[0080] Step 3: Process the data obtained by the data acquisition module through the data processing module to determine the plants that can be planted;

[0081] Step 4: Analyze the plants to be planted in the culture solution through the data analysis module, select the plants to be planted in each area of the culture tank, analyze the growth state of the plants, and finally adjust the planting method of the plants according to the analysis results of the data analysis module through the planting adjustment module.

[0082] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An Internet of Things-based plant growth environment selection system, characterized in that, It includes monitoring center, database, data acquisition module, data processing module, data analysis module and planting adjustment module; A plant information database and a plant growth relationship sub-library are established in the database. The plant information database is used to store planting condition information of plants to be planted. The plant growth relationship sub-library includes a synergistic growth sub-library and a growth inhibition sub-library. The data acquisition module sends the acquired data to the data processing module through the data acquisition terminal and the scanning terminal. The acquired data is processed by the data processing module, and then the processing result is sent to the data analysis module. The data analysis module is used to analyze the plants to be planted in the culture solution according to the data acquired by the data acquisition terminal, so as to select the plants to be planted in each area in the culture tank, and analyze the growth status of the plants. The planting adjustment module adjusts the planting method of the plants according to the analysis result of the data analysis module, so as to select independent planting or cross planting. The process of establishing the plant growth relationship sub-library includes: Create a list of plants to be planted; mark a certain plant to be planted, and generate a synergistic plant subset and an inhibitory plant subset respectively; Introducing the plants to be planted that can enhance the growth of the marked plants to be planted from other plants to be planted into the cooperative plant subset; introducing the plants to be planted that can inhibit the growth of the marked plants to be planted from other plants to be planted into the inhibiting plant subset; The process of the data analysis module analyzing the plants to be planted in the culture medium includes: Among the selected plants to be planted, one plant to be planted is selected, and then the plant is planted in an area of a culture tank, and the plant to be planted is recorded as a planted plant; a synergistic plant subset and an inhibitory plant subset corresponding to the planted plant are obtained; if the plant to be planted exists in the synergistic plant subset, it means that there is a synergistic growth relationship between the plant to be planted and the planted plant, and the plants to be planted are marked as growth-promoting plants; If the plants to be planted exist in the inhibitory plant subset, it means that there is a growth inhibitory relationship between the plants to be planted and the plants already planted, and these plants to be planted are marked as growth inhibitory plants; Summarize all growth-promoting plants to generate a growth-promoting plant set; When the growth-promoting plant set contains only one growth-promoting plant, the growth-promoting plant is selected; When the growth-promoting plant set contains multiple growth-promoting plants; Obtain the types of plant hormones secreted by each growth-promoting plant and the corresponding plant hormone content secreted in the juvenile stage, growth stage, and mature stage; Mark the plant species that secrete the highest levels of plant hormones in each growth period; When the planted plants grow to the corresponding growth period, the growth-promoting plants are selected to concentrate the plants with the highest plant hormone secretion content in the corresponding growth period.

2. The plant growth environment selection system based on the Internet of Things according to claim 1, characterized in that The specific process of establishing the plant information database includes: Set up a plant information database, and establish several plant information subsets within the plant information database. Import the names of the plants to be planted into the plant information subsets, and then respectively establish a juvenile growth data sub-library, a growth stage growth data sub-library, and a mature stage growth data sub-library within the plant information subsets according to the names of the plants to be planted. Then import the corresponding growth factors.

3. The plant growth environment selection system based on the Internet of Things according to claim 1, characterized in that The data acquisition module consists of several data acquisition terminals and a scanning terminal. Install the data acquisition terminals at the corresponding positions according to requirements to obtain the planting data of the plants to be planted, and obtain the root system data and leaf data of the plants through the scanning terminal.

4. The plant growth environment selection system based on the Internet of Things according to claim 3, characterized in that, The data processing module is used to process the data obtained by the data acquisition module to determine the plants that can be planted. The process includes: obtaining the plants to be planted corresponding to this type of culture solution according to the type of the culture solution, and recording all the plants to be planted suitable for this type of culture solution as the initial plant set; According to the temperature and pH value of the culture solution, record all the plants to be planted in the initial plant set that meet the temperature and pH value of this type of culture solution as the adapted plant set.

5. The plant growth environment selection system based on the Internet of Things according to claim 3, characterized in that, The process of the data processing module processing the data obtained by the scanning terminal includes: Conduct atlas analysis on the obtained plant root system scan map and leaf scan map in the sub-region to obtain the distribution of the plant root system in the culture solution, and at the same time obtain the outline of the leaves; according to the distribution of the plant root system in the culture solution, obtain the number of plant root systems and the length of each plant root system; according to the outline of the leaves, obtain the leaf size of the plant.

6. The selection method of a plant growth environment selection system based on the Internet of Things according to any one of claims 1-5, characterized in that It includes the following steps: Step 1: Establish a plant information database and a plant growth relationship sub-library in the database; Step 2: Obtain the planting data, root system data and leaf data of the plants to be planted through the data acquisition module; Step 3: Process the obtained data through the data processing module to determine the plants that can be planted; Step 4: Analyze the plants to be planted in the culture solution through the data analysis module, so as to select the plants to be planted in each area of the culture tank, analyze the growth status of the plants, and finally adjust the planting method of the plants according to the analysis results of the data analysis module through the planting adjustment module.

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