Intelligent agricultural Internet of Things monitoring system

Through the smart agricultural Internet of Things monitoring system, real-time monitoring and data analysis of crops can be achieved in multiple aspects, solving the problems of time-consuming, labor-intensive and prone to errors in the existing technology, and improving agricultural production efficiency and plant growth quality.

CN119805977AInactive Publication Date: 2025-04-11LUDONG UNIVERSITY
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202411641562.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-18
Publication Date
2025-04-11
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

In modern agricultural planting, it is difficult for the existing technology to achieve real-time monitoring of crops, resulting in a lot of manpower consumed by manual inspection and prone to judgment errors, affecting plant growth.

Method used

A smart agricultural IoT monitoring system was designed, including soil monitoring unit, central control unit, leaf state monitoring unit, fruit state monitoring unit, biological monitoring unit, meteorological monitoring unit, data analysis unit, database and terminal. Through various real-time monitoring and data analysis, growth state judgment and management suggestions are provided.

Benefits of technology

Through comprehensive monitoring data analysis, we can quickly understand the growth problems of plants, provide targeted management, reduce the probability of plant damage and death, ensure that plants have the best growth environment, and improve agricultural production efficiency.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119805977A_ABST
    Figure CN119805977A_ABST
Patent Text Reader

Abstract

The invention discloses a smart agriculture Internet of Things monitoring system, relates to the technical field of smart agriculture, and provides the following scheme that the smart agriculture Internet of Things monitoring system comprises a soil monitoring unit, a central control unit, a leaf state monitoring unit, a fruit state monitoring unit, a biological monitoring unit, a meteorological monitoring unit, a data analysis unit, a database and a terminal; the soil monitoring unit is used for monitoring soil near a plant root system in multiple aspects and transmitting multiple monitored data to the data analysis unit; according to the invention, multi-aspect monitoring is carried out on the plant, the growth state of the plant is analyzed and judged by integrating monitoring data, the growth problem of the plant is rapidly understood through various data, medicines are applied according to indications, plant needs are understood, plant nutrition is guaranteed, and the probability of damage and death of the plant is reduced; the conditions of plant fallen leaves, rotten leaves, fruit damage and fruit drop are avoided, birds are repelled, and plant harvest is guaranteed.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present invention relates to the technical field of smart agriculture, and in particular to a smart agriculture Internet of Things monitoring system. Background Art

[0002] Internet of Things monitoring refers to the real-time collection of any objects or processes that need to be monitored, connected, and interacted through various devices and technologies such as various information sensors, radio frequency identification technology, global positioning systems, infrared sensors, laser scanners, etc., and the collection of various required information. Through various possible network access, it realizes ubiquitous connection between objects and objects, and objects and people, and realizes intelligent perception, identification, and management of objects and processes.

[0003] In modern agricultural planting, crops need to be monitored to observe the growth status of crops in real time, so that agricultural planting personnel can take different measures according to the status of crops in time. In the process of monitoring crops, if only manual inspection is performed, a lot of manpower is required, and manual judgment of plant status and deficiency is prone to errors, delaying plant growth. Summary of the invention

[0004] The present invention proposes a smart agricultural Internet of Things monitoring system to solve the above-mentioned deficiencies in the prior art.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A smart agricultural Internet of Things monitoring system, comprising a soil monitoring unit, a central control unit, a leaf state monitoring unit, a fruit state monitoring unit, a biological monitoring unit, a meteorological monitoring unit, a data analysis unit, a database and a terminal;

[0007] The soil monitoring unit is used to monitor the soil near the plant root system in various aspects, and transmits a plurality of monitored data to the data analysis unit. The data analysis unit retrieves a plurality of parameters corresponding to the data in the database according to the solar terms and time for comparison and judgment, thereby obtaining soil data and lacking components, and transmits them to the central control unit. The central control unit remotely transmits the data to the mobile terminal. The soil monitoring unit provides soil data to the staff, and timely adjusts the soil to provide the best growth environment for the plants.

[0008] The meteorological monitoring unit is connected to the Internet to obtain meteorological data for several days, and transmits the meteorological data to the data analysis unit. The data analysis unit combines the meteorological data with the soil data and compares the data in the database to obtain a treatment suggestion method for this situation, and transmits it to the central control unit. The central control unit remotely transmits the data to the mobile terminal. The meteorological monitoring unit provides meteorological suggestions to the staff based on the meteorological data, so that the plants are protected in advance to avoid the situation where the weather damages the plants;

[0009] The leaf state monitoring unit monitors the state of plant leaves through multiple monitors, and transmits multiple monitoring data to the data analysis unit. The data analysis unit retrieves multiple parameters corresponding to the data in the database according to the solar terms and time for comparison, so as to judge the state of the plant, and at the same time, comprehensively judges the nutrients and water that need to be supplemented by combining soil information and meteorological information, and transmits them to the central control unit. The central control unit remotely transmits the data to the mobile terminal. The leaf state monitoring unit assists the staff in judging the growth state of the plant by monitoring the fallen leaves, rotten leaves and yellow leaves of the plant;

[0010] The biological monitoring unit is used to monitor birds landing on plants and transmit the monitoring data to the data analysis unit for analysis. The data analysis unit analyzes the data in combination with the database, and transmits the data to the central control unit when it is analyzed that birds have landed on plants. The biological monitoring unit monitors the birds to prevent them from damaging the plants.

[0011] The fruit state monitoring unit monitors the color of the fruit and the number of fallen fruits on the ground, and transmits the data to the data analysis unit. The data analysis unit then analyzes the fruit state problems in combination with meteorological data, biological data, soil data and leaf state data, and transmits them to the central control unit. The central control unit remotely transmits the data to the mobile terminal. The fruit state monitoring unit monitors the color of the fruit. If large black spots appear on the fruit, it means that the fruit is damaged. The data is provided to the staff for timely processing to avoid more bad fruits.

[0012] Preferably, the system further comprises a warning unit and a driving unit;

[0013] The warning unit is activated by the central control unit and warns the staff in various ways;

[0014] The driving unit is activated by a central control unit to scare away birds that harm plants.

[0015] Preferably, the soil monitoring unit includes a moisture monitoring module, a nutrient component monitoring module and a softness monitoring module;

[0016] The humidity monitoring module monitors the humidity at different depths in the soil through a humidity sensor. The soil humidity measurement formula is as follows:

[0017]

[0018] ν: propagation speed of high-frequency electromagnetic waves in soil media;

[0019] ε: relative dielectric constant of soil;

[0020] μ r : relative magnetic susceptibility;

[0021] c: speed of light;

[0022] The propagation speed ν of high-frequency electromagnetic waves in soil media changes with the medium, which can be expressed as:

[0023] v=2L / t;

[0024] L: length of waveguide probe;

[0025] t: It is the time for the high-frequency electromagnetic wave to transmit and return along the waveguide probe;

[0026] therefore:

[0027]

[0028] Finally, the soil moisture is determined based on ε;

[0029] The nutrient component monitoring module is inserted into the soil and monitors multiple nutrient components in the soil;

[0030] The softness monitoring module is located inside the soil to monitor the softness and hardness of the soil.

[0031] Preferably, the leaf state monitoring unit includes a fallen leaf monitoring module, a rotten leaf monitoring module and a yellow leaf monitoring module;

[0032] The leaf fall monitoring module is used to monitor the leaf fall of plants and provide data for judging the growth status of plants;

[0033] The leaf rot monitoring module is used to monitor the leaf rot of plant leaves and provide data for judging the growth status of plants;

[0034] The yellow leaf monitoring module is used to monitor the color changes of plant leaves and provide data for judging the growth status of plants.

[0035] Preferably, the fruit state monitoring unit includes a bad fruit monitoring module and a fallen fruit monitoring module;

[0036] The bad fruit monitoring module determines the number of bad fruits on the plant by color and provides data on the degree of plant pests;

[0037] The fruit drop monitoring module monitors the number of fruit drops of plants and provides data on the growth status and degree of insect damage of plants.

[0038] Preferably, the output end of the central control unit is connected to the input end of the soil monitoring unit, the leaf state monitoring unit, the fruit state monitoring unit, the warning unit, the biological monitoring unit, the meteorological monitoring unit, the driving unit and the data analysis unit, and the central control unit is connected to the terminal via a remote connection;

[0039] Preferably, the input ends of the data analysis unit are connected to the output ends of the soil monitoring unit, the leaf state monitoring unit, the fruit state monitoring unit, the biological monitoring unit and the meteorological monitoring unit, and a bidirectional connection is achieved between the data analysis unit and the data.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] The soil monitoring unit provides soil data to the staff, and the soil is adjusted in time to provide the best growth environment for the plants. The meteorological monitoring unit provides meteorological suggestions to the staff based on the meteorological data, and protects the plants in advance to avoid meteorological damage to the plants. The leaf state monitoring unit monitors the fallen leaves, rotten leaves and yellow leaves of the plants, thereby assisting the staff in judging the growth status of the plants. The biological monitoring unit monitors birds to avoid bird damage to the plants. The fruit state monitoring unit monitors the color of the fruit. If large black spots appear on the fruit, it means that the fruit is damaged. Data is provided to the staff, and timely processing is carried out to avoid more bad fruits. The present invention monitors the plants in many aspects, and comprehensively analyzes the monitoring data to judge the growth status of the plants. Through various data, the growth problems of the plants are quickly understood, the right medicine is given, the needs of the plants are understood, the nutrition of the plants is guaranteed, the probability of plant damage and death is reduced, the plants are monitored regularly to avoid the occurrence of fallen leaves, rotten leaves, bad fruits and fallen fruits, and the birds are driven away to ensure the harvest of the plants. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a system block diagram of a smart agricultural Internet of Things monitoring system proposed by the present invention;

[0043] Figure 2 This is a system block diagram of a soil monitoring unit of a smart agricultural Internet of Things monitoring system proposed by the present invention;

[0044] Figure 3 This is a system block diagram of a leaf state monitoring unit of a smart agricultural Internet of Things monitoring system proposed by the present invention;

[0045] Figure 4 This is a system block diagram of a fruit state monitoring unit of a smart agricultural Internet of Things monitoring system proposed by the present invention. DETAILED DESCRIPTION

[0046] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0047] In the description of the present invention, it is necessary to understand that the terms "upper", "lower", "front", "back", "left", "right", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0048] Example 1

[0049] Reference Figure 1-Figure 3 :A smart agricultural Internet of Things monitoring system, including a soil monitoring unit, a central control unit, a leaf state monitoring unit, a fruit state monitoring unit, a biological monitoring unit, a meteorological monitoring unit, a data analysis unit, a database and a terminal, which can quickly understand the growth problems of plants through various data, prescribe the right medicine, understand the needs of plants, ensure plant nutrition, reduce the probability of plant damage and death, monitor plants regularly, avoid plant leaf fall, rotten leaves, bad fruits and fruit drop, drive away birds, and ensure plant harvest;

[0050] The soil monitoring unit is used to monitor the soil near the plant roots in many aspects and transmit multiple monitored data to the data analysis unit. The data analysis unit retrieves multiple parameters corresponding to the data in the database according to the solar terms and time for comparison and judgment, thereby obtaining soil data and missing components, and transmits them to the central control unit. The central control unit remotely transmits the data to the mobile terminal. The soil monitoring unit provides soil data to the staff, and adjusts the soil in time to provide the best growth environment for the plants.

[0051] The meteorological monitoring unit is connected to the Internet to obtain meteorological data for several days, and transmits the meteorological data to the data analysis unit. The data analysis unit combines the meteorological data with the soil data and compares it with the data in the database to obtain a treatment suggestion for this situation, and transmits it to the central control unit. The central control unit remotely transmits the data to the mobile terminal. The meteorological monitoring unit provides meteorological suggestions to the staff based on the meteorological data, so that the plants can be protected in advance to avoid the situation where the weather damages the plants.

[0052] The leaf state monitoring unit monitors the state of plant leaves through multiple monitors and transmits multiple monitoring data to the data analysis unit. The data analysis unit retrieves multiple parameters corresponding to the data in the database according to the solar terms and time for comparison, so as to judge the state of the plant. At the same time, it judges the nutrients and water that need to be supplemented by integrating soil information and meteorological information, and transmits them to the central control unit. The central control unit remotely transmits the data to the mobile terminal. The leaf state monitoring unit assists the staff in judging the growth state of the plant by monitoring the fallen leaves, rotten leaves and yellow leaves of the plant.

[0053] The biological monitoring unit is used to monitor birds landing on plants and transmit the monitoring data to the data analysis unit for analysis. The data analysis unit analyzes the data in combination with the database. When it is analyzed that birds have landed on plants, the data is transmitted to the central control unit. The biological monitoring unit monitors the birds to prevent them from damaging the plants.

[0054] The fruit state monitoring unit monitors the color of the fruit and the number of fallen fruits on the ground, and transmits the data to the data analysis unit. The data analysis unit then analyzes the fruit state problems based on meteorological data, biological data, soil data and leaf state data, and transmits them to the central control unit. The central control unit remotely transmits the data to the mobile terminal. The fruit state monitoring unit monitors the color of the fruit. If large black spots appear on the fruit, it means that the fruit is damaged. The data is provided to the staff for timely processing to avoid more bad fruits.

[0055] The system also includes a warning unit and a driving unit;

[0056] The warning unit is activated by the central control unit and warns the staff through various warning methods;

[0057] The repelling unit is activated by a central control unit, thereby scaring off birds that harm plants.

[0058] Example 2

[0059] Reference Figure 2-Figure 4 : This embodiment provides a technical solution based on the first embodiment: the soil monitoring unit includes a moisture monitoring module, a nutrient component monitoring module and a looseness monitoring module;

[0060] The humidity monitoring module monitors the humidity at different depths in the soil through a humidity sensor. The soil humidity measurement formula is as follows:

[0061]

[0062] ν: propagation speed of high-frequency electromagnetic waves in soil media;

[0063] ε: relative dielectric constant of soil;

[0064] μ r : relative magnetic susceptibility;

[0065] c: speed of light;

[0066] The propagation speed ν of high-frequency electromagnetic waves in soil media changes with the medium, which can be expressed as:

[0067] v=2L / t;

[0068] L: length of waveguide probe;

[0069] t: It is the time for the high-frequency electromagnetic wave to transmit and return along the waveguide probe;

[0070] therefore:

[0071]

[0072] Finally, the soil moisture is determined based on ε;

[0073] The nutrient monitoring module is inserted into the soil and monitors multiple nutrients in the soil;

[0074] The softness monitoring module is located inside the soil to monitor the softness and hardness of the soil;

[0075] The leaf state monitoring unit includes a fallen leaf monitoring module, a rotten leaf monitoring module and a yellow leaf monitoring module;

[0076] The leaf fall monitoring module is used to monitor the leaf fall of plants and provide data for judging the growth status of plants;

[0077] The leaf rot monitoring module is used to monitor the leaf rot of plants and provide data for judging the growth status of plants;

[0078] The yellow leaf monitoring module is used to monitor the color changes of plant leaves and provide data for judging the growth status of plants;

[0079] The fruit state monitoring unit includes a bad fruit monitoring module and a fallen fruit monitoring module;

[0080] The bad fruit monitoring module determines the number of bad fruits on the plant by color and provides data on the degree of plant pests;

[0081] The fruit drop monitoring module monitors the number of fruit drops on plants and provides data on plant growth status and pest levels;

[0082] The output ends of the central control unit are connected to the input ends of the soil monitoring unit, the leaf state monitoring unit, the fruit state monitoring unit, the warning unit, the biological monitoring unit, the meteorological monitoring unit, the driving unit and the data analysis unit, and the central control unit is connected to the terminal via a remote connection;

[0083] The input ends of the data analysis unit are connected to the output ends of the soil monitoring unit, the leaf state monitoring unit, the fruit state monitoring unit, the biological monitoring unit and the meteorological monitoring unit, and a bidirectional connection is achieved between the data analysis unit and the data.

[0084] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A smart agricultural Internet of Things monitoring system, characterized in that: It includes soil monitoring unit, central control unit, leaf state monitoring unit, fruit state monitoring unit, biological monitoring unit, meteorological monitoring unit, data analysis unit, database and terminal; The soil monitoring unit is used to monitor the soil near the plant root system for multiple aspects, and transmit multiple monitored data to the data analysis unit. The data analysis unit retrieves multiple parameters corresponding to the data in the database according to the solar terms and time for comparison and judgment, thereby obtaining soil data and lacking components, and transmits them to the central control unit. The central control unit remotely transmits the data to the mobile terminal; The meteorological monitoring unit is connected to the Internet to obtain meteorological data for several days, and transmits the meteorological data to the data analysis unit, which combines the meteorological data with the soil data and compares it with the data in the database to obtain a treatment suggestion for this situation, and transmits it to the central control unit, which remotely transmits the data to the mobile terminal; The leaf state monitoring unit monitors the state of plant leaves through multiple monitors, and transmits multiple monitoring data to the data analysis unit. The data analysis unit retrieves multiple parameters corresponding to the data in the database according to the solar terms and time for comparison, so as to judge the state of the plant, and at the same time, comprehensively judges the nutrients and water that need to be supplemented by combining soil information and meteorological information, and transmits them to the central control unit. The central control unit remotely transmits the data to the mobile terminal; The biological monitoring unit is used to monitor birds landing on plants and transmit the monitoring data to the data analysis unit for analysis. The data analysis unit analyzes the data in combination with the database and transmits the data to the central control unit when it is analyzed that birds have landed on plants. The fruit state monitoring unit monitors the color of the fruit and the number of fallen fruits on the ground, and transmits the data to the data analysis unit. The data analysis unit then analyzes the fruit state problems based on meteorological data, biological data, soil data and leaf state data, and transmits them to the central control unit. The central control unit remotely transmits the data to the mobile terminal.

2. A smart agriculture Internet of Things monitoring system according to claim 1, characterized in that: It also includes warning units and expulsion units; The warning unit is activated by the central control unit and warns the staff in various ways; The driving unit is activated by a central control unit to scare away birds that harm plants.

3. A smart agriculture Internet of Things monitoring system according to claim 1, characterized in that: The soil monitoring unit includes a moisture monitoring module, a nutrient component monitoring module and a looseness monitoring module; The humidity monitoring module monitors the humidity at different depths in the soil through a humidity sensor. The soil humidity measurement formula is as follows: ν: propagation speed of high-frequency electromagnetic waves in soil media; ε: relative dielectric constant of soil; μ r : relative magnetic susceptibility; c: speed of light; The propagation speed ν of high-frequency electromagnetic waves in soil media changes with the medium, which can be expressed as: v=2L / t; L: length of waveguide probe; t: It is the time for the high-frequency electromagnetic wave to transmit and return along the waveguide probe; therefore: Finally, the soil moisture is determined based on ε; The nutrient component monitoring module is inserted into the soil and monitors multiple nutrient components in the soil; The softness monitoring module is located inside the soil to monitor the softness and hardness of the soil.

4. A smart agriculture Internet of Things monitoring system according to claim 1, characterized in that: The leaf state monitoring unit includes a fallen leaf monitoring module, a rotten leaf monitoring module and a yellow leaf monitoring module; The leaf fall monitoring module is used to monitor the leaf fall of plants and provide data for judging the growth status of plants; The leaf rot monitoring module is used to monitor the leaf rot condition of plant leaves and provide data for judging the growth status of plants; The yellow leaf monitoring module is used to monitor the color changes of plant leaves and provide data for judging the growth status of plants.

5. A smart agriculture Internet of Things monitoring system according to claim 1, characterized in that: The fruit state monitoring unit includes a bad fruit monitoring module and a fallen fruit monitoring module; The bad fruit monitoring module determines the number of bad fruits on the plant by color and provides data on the degree of plant pests; The fruit drop monitoring module monitors the number of fruit drops of plants and provides data on the growth status and degree of insect damage of plants.

6. A smart agriculture Internet of Things monitoring system according to claim 1, characterized in that: The output ends of the central control unit are connected to the input ends of the soil monitoring unit, the leaf state monitoring unit, the fruit state monitoring unit, the warning unit, the biological monitoring unit, the meteorological monitoring unit, the driving unit and the data analysis unit, and the central control unit is remotely connected to the terminal.

7. A smart agriculture Internet of Things monitoring system according to claim 1, characterized in that: The input ends of the data analysis unit are connected to the output ends of the soil monitoring unit, the leaf state monitoring unit, the fruit state monitoring unit, the biological monitoring unit and the meteorological monitoring unit, and a bidirectional connection is achieved between the data analysis unit and the data.