CN116406606A - Intelligent irrigation system - Google Patents
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- CN116406606A CN116406606A CN202310428159.2A CN202310428159A CN116406606A CN 116406606 A CN116406606 A CN 116406606A CN 202310428159 A CN202310428159 A CN 202310428159A CN 116406606 A CN116406606 A CN 116406606A
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- 238000003973 irrigation Methods 0.000 title claims abstract description 103
- 230000002262 irrigation Effects 0.000 title claims abstract description 103
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 86
- 239000002689 soil Substances 0.000 claims abstract description 69
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G25/00—Watering gardens, fields, sports grounds or the like
- A01G25/09—Watering arrangements making use of movable installations on wheels or the like
- A01G25/092—Watering arrangements making use of movable installations on wheels or the like movable around a pivot centre
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G25/00—Watering gardens, fields, sports grounds or the like
- A01G25/16—Control of watering
- A01G25/167—Control by humidity of the soil itself or of devices simulating soil or of the atmosphere; Soil humidity sensors
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
- Y02A40/22—Improving land use; Improving water use or availability; Controlling erosion
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- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Water Supply & Treatment (AREA)
- Environmental Sciences (AREA)
- Soil Sciences (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an intelligent irrigation system, which belongs to the field of irrigation systems and comprises a plurality of humidity sensor assemblies, a plurality of sensing terminals, an air temperature data acquisition module, a rainfall data acquisition module, a relay module, a cloud end and an irrigation robot; the number of the humidity sensor assemblies is at least three, each humidity sensor assembly comprises at least three soil humidity sensors, the soil depths of the soil humidity sensors in each humidity sensor assembly are different, and the soil humidity sensors are used for detecting the soil humidity of the positions; the sensing terminals are connected with the humidity sensor assemblies in a one-to-one correspondence manner and are used for receiving soil humidity data transmitted by the soil humidity sensors. The invention can comprehensively consider the real demands of plants according to the humidity of different depths of the soil, avoid influencing the growth of the plants due to excessive or insufficient watering, provide enough water for the plants and avoid wasting water resources.
Description
Technical Field
The invention relates to an irrigation system, in particular to an intelligent irrigation system.
Background
At present, the living rhythm is faster and faster, people seek to slow down the living style of the rhythm, and some people like to plant flowers, plants and grass outdoors, so that the space can be beautified, and the mind and the body can be earthen. However, plant cultivation has many problems, the most important of which is that plants cannot be correctly irrigated. Some people are too busy, and the plants are irrigated when busy; some people may not be able to irrigate plants in time because of poor remembering and busy.
At present, most of the irrigation is direct water irrigation or spraying, but the defect of easy volatilization exists, meanwhile, a plurality of parts which are not needed to be irrigated also become irrigation areas, waste is generated, and the water flow speed is not satisfactory. Irrigation systems have been developed for this purpose for automatic irrigation. However, such watering is both passively accepted for plants, and the real demands of the plants are not comprehensively considered according to the humidity of different depths of the soil, which easily results in excessive or insufficient watering to affect the growth of the plants.
Accordingly, one skilled in the art would be able to provide an intelligent irrigation system that addresses the problems set forth in the background above.
Disclosure of Invention
The invention aims to provide an intelligent irrigation system which can comprehensively consider the real demands of plants according to the humidity of different depths of soil, avoid influencing the growth of the plants due to excessive or insufficient watering, provide enough water for the plants and avoid wasting water resources at the same time so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
an intelligent irrigation system comprises a plurality of humidity sensor assemblies, a plurality of sensing terminals, an air temperature data acquisition module, a rainfall data acquisition module, a relay module, a cloud end and an irrigation robot; the number of the humidity sensor assemblies is at least three, each humidity sensor assembly comprises at least three soil humidity sensors, the soil depths of the soil humidity sensors in each humidity sensor assembly are different, and the soil humidity sensors are used for detecting the soil humidity of the positions; the sensing terminals are connected with the humidity sensor assemblies in a one-to-one correspondence manner and are used for receiving soil humidity data transmitted by the soil humidity sensor; the air temperature data acquisition module is used for acquiring air temperature data of the environment; the rainfall data acquisition module is used for acquiring rainfall data of the environment; the relay module is used for receiving soil humidity data, air temperature data and rainfall data, sorting and amplifying the data and uploading the data to the cloud; the cloud end is used for receiving the data transmitted by the relay module, constructing an irrigation prediction model and outputting the result of the irrigation prediction model to the irrigation robot; the irrigation robot is used for irrigating the corresponding area according to the model result transmitted by the cloud.
As a further scheme of the invention: the specific construction process of the irrigation prediction model comprises the following steps:
calculating the water content of the soil, marking the water content of the soil as VWC,
wherein, the soil dielectric constant marks as: />
ε a The method comprises the steps that soil dielectric constants acquired by humidity sensors with different depths are L, wherein L is the length of a transmission line of the humidity sensor, c is the speed of light, and t is the sampling time of the humidity sensor;
VWC0, VWC1, VWC2 and VWC3 are respectively humidity data of soil at different depths from shallow to deep at a certain time t, and the humidity data are brought into the following model to be trained to obtain a value of w:
Relu(x)＝max(0，x)；
and predicting the water content of the soil after the trained model is obtained, setting thresholds for different crops, and automatically informing the irrigation robot to move to a corresponding position for irrigation when the water content of the soil of a certain crop is lower than the thresholds, so that accurate agricultural irrigation is realized.
As still further aspects of the invention: the irrigation robot specifically comprises: AGV dolly, the top face fixedly connected with water tank of AGV dolly, and the water storage chamber has been seted up to the inside of water tank, a side of water tank be equipped with the horizontal raceway of water storage chamber intercommunication, and fixedly connected with solenoid valve between horizontal raceway one end and the water tank, the bottom face fixedly connected with booster pump of water storage chamber, its length direction fixedly connected with a plurality of evenly distributed's water outlet head is followed to the lateral surface bottom of horizontal raceway.
As still further aspects of the invention: the center of the top end surface of the water tank is provided with a water inlet for supplementing water source to the water storage cavity.
As still further aspects of the invention: and a steel wire rope is fixedly connected between the middle position of the outer side surface of the transverse water delivery pipe and two corners at the top end of one side surface of the water tank, and is in a tightening state.
As still further aspects of the invention: AGV dolly includes automobile body and drive automobile body advancing or moving mechanism who retreats, and moving mechanism includes one of wheeled, crawler-type, sufficient formula, marching type, peristaltic formula, snaking formula and hybrid, the inside location navigation module that is equipped with of automobile body for move the position that needs to irrigate through map navigation, the automobile body outside is equipped with the camera, is used for gathering image data and uploads it to the high in the clouds, and the high in the clouds utilizes image recognition technology in order to discern kind and the situation of irrigated plant, through analysis historical data and current environmental factor, predicts the growth condition of plant, and carries out corresponding irrigation.
As still further aspects of the invention: the irrigation robot further comprises a sensor component, wherein the sensor component is arranged at the position of the irrigated plant and is in wireless connection with the cloud end, and is used for acquiring environmental data of air humidity, temperature and illumination intensity, after the data are uploaded to the cloud end, the cloud end utilizes a machine learning technology, so that the intelligent irrigation robot can automatically control irrigation time and intensity according to the environmental data, and the irrigation efficiency is improved by automatically adjusting the environmental data when the environmental data change.
As still further aspects of the invention: the system also comprises a user end which is in wireless connection with the cloud end, and the user end can check the cloud end data and modify the threshold value of the soil water content required by the plants.
As still further aspects of the invention: the wireless connection mode of the user side and the cloud side comprises any one of Wi-Fi and Bluetooth.
As still further aspects of the invention: the user terminal comprises any one of a mobile phone, a tablet personal computer and a computer.
Compared with the prior art, the invention has the beneficial effects that:
according to the method and the device, the real demands of plants can be comprehensively considered according to the humidity of different depths of the soil, the situation that the growth of the plants is influenced due to excessive or insufficient watering is avoided, the waste of water resources is avoided when enough water is provided for the plants, and in addition, the irrigation condition can be mastered by a user at any time and any place through a user side and adjusted when necessary. In particular, the intelligent irrigation system can save water resources because the irrigation quantity can be adjusted according to actual needs. Second, it can help maintain the health of the plant, as it can ensure that the plant gets enough moisture when appropriate. In addition, it may save time and effort because the user no longer needs to manually adjust the irrigation system.
Drawings
FIG. 1 is a schematic diagram of an intelligent watering system;
FIG. 2 is a schematic diagram of communication between a soil moisture sensor and a cloud end in an intelligent irrigation system;
fig. 3 is a schematic structural diagram of an irrigation robot in an intelligent irrigation system.
In the figure: 1. AGV trolley; 2. a water tank; 3. a water inlet; 4. a booster pump; 5. a horizontal water pipe; 6. an electromagnetic valve; 7. a water outlet head; 8. a wire rope.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As mentioned in the background art of the present application, the inventor found that the existing intelligent irrigation method is passively accepted for plants, and the actual demands of the plants are not comprehensively considered according to the humidity of different depths of soil, which easily causes excessive or insufficient watering and affects the growth of the plants. In order to solve the defects, the application discloses an intelligent irrigation system, adopts the model that trains to predict soil moisture content, sets up the threshold value to different plants, and automatic notification irrigation robot removes corresponding position and irrigates when the soil moisture content of a certain plant is less than the threshold value to realize accurate agricultural irrigation, and then solve above-mentioned defect.
How the above technical problems are solved by the solutions of the present application will be described in detail below with reference to the accompanying drawings.
Referring to fig. 1 to 3, in an embodiment of the present invention, an intelligent irrigation system includes a plurality of humidity sensor assemblies, a plurality of sensing terminals, an air temperature data acquisition module, a rainfall data acquisition module, a relay module, a cloud end and an irrigation robot; the number of the humidity sensor assemblies is at least three, each group of the humidity sensor assemblies comprises at least three soil humidity sensors, the soil depths of the soil humidity sensors in each group of the humidity sensor assemblies are different, and the soil humidity sensors are used for detecting the soil humidity of the positions; the sensing terminals are connected with the humidity sensor assemblies in a one-to-one correspondence manner and are used for receiving soil humidity data transmitted by the soil humidity sensor; the air temperature data acquisition module is used for acquiring air temperature data of the environment; the rainfall data acquisition module is used for acquiring rainfall data of the environment where the rainfall data acquisition module is located; the relay module is used for receiving soil humidity data, air temperature data and rainfall data, sorting and amplifying the data and uploading the data to the cloud; the cloud end is used for receiving the data transmitted by the relay module, constructing an irrigation prediction model and outputting the result of the irrigation prediction model to the irrigation robot; the irrigation robot is used for irrigating the corresponding area according to the model result transmitted by the cloud.
The method and the device can comprehensively consider the real demands of the plants according to the humidity of different depths of the soil, avoid influencing the growth of the plants due to excessive or insufficient watering, provide enough moisture for the plants, and simultaneously avoid wasting water resources.
In this embodiment: the specific construction process of the irrigation prediction model comprises the following steps:
calculating the water content of the soil, marking the water content of the soil as VWC,
wherein, the soil dielectric constant marks as: />
ε a The method comprises the steps that soil dielectric constants acquired by humidity sensors with different depths are L, wherein L is the length of a transmission line of the humidity sensor, c is the speed of light, and t is the sampling time of the humidity sensor;
VWC0, VWC1, VWC2 and VWC3 are respectively humidity data of soil at different depths from shallow to deep at a certain time t, and the humidity data are brought into the following model to be trained to obtain a value of w:
Relu(x)＝max(0，x)；
and predicting the water content of the soil after the trained model is obtained, setting thresholds for different crops, and automatically informing the irrigation robot to move to a corresponding position for irrigation when the water content of the soil of a certain crop is lower than the thresholds, so that accurate agricultural irrigation is realized. The irrigation prediction model can accurately predict the water demand of the plant according to the plant demand, can help maintain the health of the plant, and can also ensure that the plant obtains enough water when appropriate.
In this embodiment: irrigation robot specifically includes: AGV dolly 1, the top face fixedly connected with water tank 2 of AGV dolly 1, and the water storage chamber has been seted up to the inside of water tank 2, and one side of water tank 2 is equipped with the lateral water pipe 5 with water storage chamber intercommunication, and fixedly connected with solenoid valve 6 between lateral water pipe 5 one end and the water tank 2, the bottom face fixedly connected with booster pump 4 of water storage chamber, the lateral surface bottom of lateral water pipe 5 is followed its length direction fixedly connected with a plurality of evenly distributed's water outlet head 7. The irrigation robot is capable of irrigating the corresponding area according to the result of the irrigation prediction model, which can save time and effort for the user, because the user no longer needs manual irrigation.
In this embodiment: the center of the top end surface of the water tank 2 is provided with a water inlet 3 for supplementing water source to the water storage cavity.
In this embodiment: a steel wire rope 8 is fixedly connected between the middle position of the outer side surface of the horizontal water pipe 5 and two corners at the top end of one side surface of the water tank 2, and the steel wire rope 8 is in a tightening state. The arrangement of the steel wire rope 8 can improve the stability of the transverse water pipe 5.
In this embodiment: AGV dolly includes automobile body and drive automobile body advancing or moving mechanism who retreats, and moving mechanism includes one of wheeled, crawler-type, sufficient formula, marching type, peristaltic formula, snaking formula and hybrid, the inside location navigation module that is equipped with of automobile body for move the position that needs irrigate through map navigation, the automobile body outside is equipped with the camera, is used for gathering image data and uploads it to the high in the clouds, the high in the clouds utilizes image recognition technique in order to discern kind and the situation of irrigated plant, through analysis historical data and current environmental factor, predict the growth condition of plant, and carry out corresponding irrigation. The mobile mechanism of AGV dolly of this application has multiple mode alternative, and the staff can select the mobile mechanism who suits according to different environment, and wherein, wheeled efficiency is highest, but adaptability is relatively poor, and sufficient removal adaptability is strongest, but its efficiency is lower. The image recognition technology comprises the following steps: information acquisition, preprocessing, feature extraction and selection, classifier design and classification decision; the information acquisition means that information such as light or sound is converted into electric information through a sensor, namely, basic information of a research object is acquired and converted into information which can be recognized by a machine through a certain method; preprocessing mainly refers to operations of denoising, smoothing, transformation and the like in image processing, so that important characteristics of an image are enhanced; feature extraction and selection means that in pattern recognition, feature extraction and selection are required. A simple understanding is that the images that we study are of a wide variety, if they are to be distinguished by some method, they are identified by the features that they have, and the process of obtaining these features is feature extraction, where the features obtained in feature extraction may not be useful for this identification, and at this time, the features that are useful are extracted, which is the choice of features, feature extraction and choice are one of the very critical techniques in the image identification process, so understanding this step is the focus of image identification; the classifier design is to obtain a recognition rule through training, and a feature classification can be obtained through the recognition rule, so that the image recognition technology can obtain high recognition rate; classification decisions refer to classifying identified objects in a feature space to better identify which class the object under study specifically belongs to.
In this embodiment: the irrigation robot further comprises a sensor component (not shown in the figure), wherein the sensor component is arranged at the position of the irrigated plant and is in wireless connection with the cloud end, and is used for acquiring environmental data of air humidity, temperature and illumination intensity (the sensor component comprises a humidity sensor, a temperature sensor, a light sensor and the like), after the data are uploaded to the cloud end, the cloud end utilizes a machine learning technology, so that the intelligent irrigation robot can automatically control irrigation time and intensity according to the environmental data, and the irrigation efficiency is improved by automatically adjusting the environmental data when the environmental data change. For example, when the cloud identifies that the current environment is high in humidity, low in temperature and weak in illumination from the data transmitted by the sensor assembly, the irrigation robot is controlled to implement irrigation in a reduced amount and shortened irrigation time; when the cloud identifies that the current environment is low in humidity, high in temperature and strong in illumination from the data transmitted by the sensor assembly, the irrigation robot is controlled to increase the irrigation quantity and prolong the irrigation time.
In this embodiment: the system also comprises a user side, wherein the user side is in wireless connection with the cloud end, and the user side can view cloud end data and modify the threshold value of the soil water content required by the plants. The setting is convenient for users to control irrigation conditions anytime and anywhere and adjust when necessary.
In this embodiment: the wireless connection mode between the user terminal and the cloud terminal comprises any one of Wi-Fi and Bluetooth.
In this embodiment: the user terminal comprises any one of a mobile phone, a tablet personal computer and a computer.
The working principle of the invention is as follows: when the intelligent rainfall sensor is used, firstly, soil humidity sensors with different depths in each group of humidity sensor assemblies detect soil humidity, the soil humidity data are transmitted to corresponding sensing terminals, the sensing terminals are transmitted to the relay module, meanwhile, the air temperature data acquisition module acquires air temperature data of the environment and transmits the data to the relay module, and the rainfall data acquisition module acquires rainfall data of the environment and transmits the data to the relay module. And then, the relay module receives the soil humidity data, the air temperature data and the rainfall data, sorts and amplifies the data and then uploads the data to the cloud. And finally, after receiving the data transmitted by the relay module, the cloud end imports the data into the irrigation prediction model constructed before and outputs the prediction result of the irrigation prediction model to the irrigation robot. And the irrigation robot irrigates the corresponding area according to the model prediction result transmitted by the cloud. In the irrigation process, the AGV trolley 1 firstly runs to a corresponding area according to a predicted result, then the electromagnetic valve 6 is opened, the booster pump 4 operates to boost the water source in the water storage cavity, water flows into the water outlet head 7 below through the transverse water pipe 5, finally water flows out of the water outlet head 7 to irrigate plants below, when the irrigation amount reaches the plant required amount, namely the predicted value, the electromagnetic valve 6 is closed to stop irrigation, and the AGV trolley 1 runs away from the area and goes to the next area to carry out irrigation tasks. According to the method and the device, the real demands of plants can be comprehensively considered according to the humidity of different depths of the soil, the situation that the growth of the plants is influenced due to excessive or insufficient watering is avoided, the waste of water resources is avoided when enough water is provided for the plants, and in addition, the irrigation condition can be mastered by a user at any time and any place through a user side and adjusted when necessary. In particular, the intelligent irrigation system can save water resources because the irrigation quantity can be adjusted according to actual needs. Second, it can help maintain the health of the plant, as it can ensure that the plant gets enough moisture when appropriate. In addition, it may save time and effort because the user no longer needs to manually adjust the irrigation system.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
The foregoing description is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical solution of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.
Claims (10)
1. An intelligent irrigation system is characterized by comprising a plurality of humidity sensor assemblies, a plurality of sensing terminals, an air temperature data acquisition module, a rainfall data acquisition module, a relay module, a cloud end and an irrigation robot;
the number of the humidity sensor assemblies is at least three, each humidity sensor assembly comprises at least three soil humidity sensors, the soil depths of the soil humidity sensors in each humidity sensor assembly are different, and the soil humidity sensors are used for detecting the soil humidity of the positions; the sensing terminals are connected with the humidity sensor assemblies in a one-to-one correspondence manner and are used for receiving soil humidity data transmitted by the soil humidity sensor; the air temperature data acquisition module is used for acquiring air temperature data of the environment; the rainfall data acquisition module is used for acquiring rainfall data of the environment; the relay module is used for receiving soil humidity data, air temperature data and rainfall data, sorting and amplifying the data and uploading the data to the cloud; the cloud end is used for receiving the data transmitted by the relay module, constructing an irrigation prediction model and outputting the result of the irrigation prediction model to the irrigation robot; the irrigation robot is used for irrigating the corresponding area according to the model result transmitted by the cloud.
2. The intelligent irrigation system as set forth in claim 1, wherein the specific construction process of the irrigation prediction model is as follows:
calculating the water content of the soil, marking the water content of the soil as VWC,
wherein, the soil dielectric constant marks as: />
Epsilon a is the dielectric constant of soil collected by humidity sensors with different depths, L is the length of a transmission line of the humidity sensor, c is the speed of light, and t is the sampling time of the humidity sensor;
the VWCO, the VWC1, the VWC2 and the VWC3 are respectively humidity data of soil with different depths from shallow to deep at a certain moment t, and the following model is taken for training to obtain a value of w:
Relu(x)＝max(0，x)；
and predicting the water content of the soil after the trained model is obtained, setting thresholds for different crops, and automatically informing the irrigation robot to move to a corresponding position for irrigation when the water content of the soil of a certain crop is lower than the thresholds, so that accurate agricultural irrigation is realized.
3. The intelligent irrigation system as recited in claim 1, wherein the irrigation robot comprises: AGV dolly, the top face fixedly connected with water tank of AGV dolly, and the water storage chamber has been seted up to the inside of water tank, a side of water tank be equipped with the horizontal raceway of water storage chamber intercommunication, and fixedly connected with solenoid valve between horizontal raceway one end and the water tank, the bottom face fixedly connected with booster pump of water storage chamber, its length direction fixedly connected with a plurality of evenly distributed's water outlet head is followed to the lateral surface bottom of horizontal raceway.
4. An intelligent watering system according to claim 3 wherein the water tank has a water inlet centrally located in the top end face for supplementing the water storage chamber with water.
5. An intelligent irrigation system according to claim 3, wherein a wire rope is fixedly connected between the middle position of the outer side surface of the horizontal water pipe and two corners at the top end of one side surface of the water tank, and the wire rope is in a tightening state.
6. The intelligent irrigation system as set forth in claim 3, wherein the AGV comprises a vehicle body and a moving mechanism for driving the vehicle body to move forward or backward, the moving mechanism comprises one of a wheel type, a crawler type, a foot type, a stepping type, a peristaltic type, a snake type and a hybrid type, a positioning navigation module is arranged in the vehicle body and used for navigating and moving to a position to be irrigated through a map, a camera is arranged outside the vehicle body and used for collecting image data and uploading the image data to a cloud, the cloud uses an image recognition technology to recognize the type and the condition of the irrigated plant, and the growth condition of the plant is predicted by analyzing historical data and current environmental factors and corresponding irrigation is carried out.
7. The intelligent irrigation system as set forth in claim 1, wherein the irrigation robot further comprises a sensor assembly disposed at a position of the irrigated plant and in wireless connection with the cloud end, for acquiring environmental data of air humidity, temperature and illumination intensity, and the cloud end uses a machine learning technology after uploading the data to enable the intelligent irrigation robot to automatically control irrigation time and intensity according to the environmental data and automatically adjust to improve irrigation efficiency when the environmental data changes.
8. The intelligent irrigation system of claim 1, further comprising a user terminal in wireless communication with the cloud terminal, wherein the user terminal is configured to view the cloud data and modify a threshold value of soil moisture content required by the plant.
9. The intelligent irrigation system as claimed in claim 8, wherein the wireless connection between the client and the cloud comprises any one of Wi-Fi and bluetooth.
10. The intelligent watering system according to claim 8, wherein the user side comprises any one of a mobile phone, a tablet, and a computer.
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| CN202310428159.2A CN116406606A (en) | 2023-04-20 | 2023-04-20 | Intelligent irrigation system |
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| CN202310428159.2A CN116406606A (en) | 2023-04-20 | 2023-04-20 | Intelligent irrigation system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117522059A (en) * | 2023-11-23 | 2024-02-06 | 星景科技有限公司 | Afforestation irrigation decision method and system based on multisource information fusion |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117522059A (en) * | 2023-11-23 | 2024-02-06 | 星景科技有限公司 | Afforestation irrigation decision method and system based on multisource information fusion |
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