CN211149296U - Water and fertilizer integrated system based on artificial intelligence - Google Patents
Water and fertilizer integrated system based on artificial intelligence Download PDFInfo
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- CN211149296U CN211149296U CN201922147325.3U CN201922147325U CN211149296U CN 211149296 U CN211149296 U CN 211149296U CN 201922147325 U CN201922147325 U CN 201922147325U CN 211149296 U CN211149296 U CN 211149296U
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Abstract
The utility model relates to a water and fertilizer integrated system based on artificial intelligence, which belongs to the technical field of agricultural irrigation and comprises an information acquisition and processing system, a water and fertilizer mixed application system, an inspection robot, a cloud platform and a distributed monitoring center; the information acquisition and processing system acquires data such as soil moisture content, soil pH value, soil EC value, soil temperature value, air temperature and humidity, illumination intensity, trace elements and the like, the data are transmitted to the cloud platform through a network after being fused, and the water and fertilizer mixed application system performs water and fertilizer mixed application according to the soil moisture content, the crop growth period and the crop growth condition; the inspection robot is used for carrying out periodic inspection on crops, carrying out online monitoring and positioning on plant diseases and insect pests, identifying the types of the plant diseases and insect pests and carrying out targeted spraying and pesticide application accurately; the cloud platform issues the instructions of fertilizing and irrigating crops to the water and fertilizer mixed application system according to the information fed back by the information acquisition and processing system and the inspection robot, or issues the instructions of controlling crop diseases and insect pests to the inspection robot.
Description
Technical Field
The utility model belongs to the technical field of the agricultural irrigation technique and specifically relates to a based on artificial intelligence liquid manure integration system.
Background
Excessive fertilizer can enter water along with rainfall, irrigation and farmland runoff, seriously pollute surface water and underground water and cause harm to human bodies and ecology. Under the dual pressure of resource conditions and ecological environment, the agricultural development mode is accelerated to be changed, water-saving agriculture is developed vigorously, the resource utilization rate is improved, the sustainable development of agriculture is realized, and the method is extremely urgent and inexorable. The water and fertilizer integration technology is used for comprehensively regulating and integrally managing farmland water and nutrients according to crop demands, promoting fertilizer by water and regulating water by fertilizer, realizing water and fertilizer coupling and comprehensively improving the farmland water and fertilizer utilization efficiency. Compared with the traditional irrigation and fertilization measures, the water and fertilizer integration technology has the advantages of saving water and fertilizer, saving labor, increasing yield, improving the utilization efficiency of the water and fertilizer, improving the quality of crops, reducing environmental pollution and the like. Therefore, the water and fertilizer integration technology gradually becomes a first technology of modern agriculture with resource conservation and environmental friendliness.
If the chinese utility model patent with publication number CN206640995U provides a liquid manure integration system, the peasant needs to prepare the required fertilizer, and after the fertilizer proportioning is completed, the valve is opened, the electric brake is closed, and the farmland crop is watered and fertilized, so that the peasant can not be liberated from the heavy field work.
SUMMERY OF THE UTILITY MODEL
The utility model discloses to traditional liquid manure integration technique can not make the problem that the peasant liberated from the heavy field work completely among the above-mentioned prior art, provides one kind and based on artificial intelligence liquid manure integration system, can realize through following technical scheme:
a water and fertilizer integrated system based on artificial intelligence comprises an information acquisition and processing system, a water and fertilizer mixed application system, an inspection robot, a distributed monitoring center and a cloud platform; the system comprises an information acquisition system, a water and fertilizer acquisition system and an inspection robot, wherein the information acquisition system, the water and fertilizer acquisition system and the inspection robot respectively correspond to a distributed monitoring center, the distributed monitoring center is used for feeding information back to a cloud platform and transmitting an instruction issued by the cloud platform to the information acquisition system, the water and fertilizer mixed application system and the inspection robot, the information acquisition and processing system is used for acquiring data such as soil moisture, a soil pH value, a soil EC value, a soil temperature value, air temperature and humidity, illumination intensity, rainfall and trace element content, and the water and fertilizer mixed application system is used for receiving the instruction issued by the cloud platform and performing water and fertilizer mixed application on crops; the inspection robot is used for periodically inspecting crops, monitoring and positioning diseases and insect pests on line and identifying the types of the diseases and insect pests, feeding information back to the cloud platform through the distributed monitoring center, and spraying and applying pesticide to the crops in a precise targeting manner; the cloud platform issues the instruction of fertilizing and irrigating crops to the water and fertilizer mixed application system according to the information acquisition and processing system and the data information fed back by the inspection robot, or issues the instruction of treating crop diseases and insect pests to the inspection robot.
The utility model discloses the scheme further does: the distributed monitoring center serves as an intermediate station, is connected with the information processing system, the water and fertilizer mixed application system, the inspection robot and the cloud platform through wired transmission or wireless transmission, feeds back information to the cloud platform, or issues instructions of the cloud platform to the information processing system, the water and fertilizer mixed application system and the inspection robot.
The utility model discloses the scheme further does: the information acquisition and processing system comprises a meteorological monitoring module and a soil monitoring module, wherein the meteorological monitoring module comprises a wind speed sensor, a wind direction sensor, a rainfall sensor, an illumination sensor and a temperature and humidity sensor; the soil monitoring component comprises an EC value sensor, a pH value sensor and CO2The sensor, the soil moisture content sensor and the trace element sensor; the information acquisition and processing system distributed monitoring center is connected with the cloud platform and used for feeding back information to the cloud platform and receiving instructions sent by the cloud platform. The information acquisition and processing system processes collected meteorological data or soil data information through the distributed monitoring center and then transmits the processed meteorological data or soil data information to the cloud platform, the cloud platform combines crop growth cycle information according to meteorological information, soil moisture content information, a pH value and an EC value to formulate the proportion of the fertilizer required by each growth cycle of crops, and issues irrigation or fertilization instructions to the water and fertilizer mixed application system.
The utility model discloses the scheme further does: the water and fertilizer mixed application system comprises a constant water pressure frequency conversion control system, a water quality filtering system, a water and fertilizer utilization monitoring system, a fertilizer proportioning barrel and a water and fertilizer all-in-one machine, and the water and fertilizer mixed application system is connected with the cloud platform through a distributed monitoring center and used for feeding back information to the cloud platform and receiving instructions sent by the cloud platform. The cloud platform controls the water and fertilizer blending proportion of the water and fertilizer mixed application system according to the soil moisture content and the growth period and growth condition of crops, so that accurate irrigation and accurate fertilization are realized, the irrigation efficiency is improved, the volatile loss of the fertilizer is reduced, and the non-point source pollution is effectively inhibited.
The utility model discloses the scheme further does: the inspection robot comprises a robot positioning module, a path planning module, a disease detection and positioning module, a disease and pest type identification module and an accurate target pesticide application module, and is connected with the cloud platform through a distributed monitoring center and used for feeding back information to the cloud platform and receiving an instruction sent by the cloud platform. The traditional disease and insect pest detection method mainly depends on personal experience and visual observation, can meet the requirement of small-piece crop planting areas, and obviously cannot meet the requirement of agricultural development for large-scale concentrated planting areas; the utility model discloses the utilization is patrolled and examined the robot and is accurate, swift, high-efficient to accomplish the detection task to crops, makes the plant diseases and insect pests detect the location more accurate, independently ization, intellectuality, makes people liberate from loaded down with trivial details detection link in the past.
The utility model discloses the scheme further does: the cloud platform is an Ali cloud platform, and a crop growth model database, a pest and disease damage model database and an expert experience database are established on the cloud platform. The cloud platform makes a fertigation plan according to the growth stage of crops, meteorological information and soil information in the field, and in addition, the agent is prepared according to expert experience and disease symptoms of the crops.
The utility model discloses the scheme further does: the cloud platform is connected with a mobile phone terminal or a PC terminal; scientific researchers or planting farmers remotely control the water and fertilizer mixed application system and the inspection robot in the field through a PC or a mobile phone.
To sum up, the utility model discloses a beneficial technological effect does:
the cloud platform can formulate the proportion of the fertilizer required by each growth period of crops according to the growth condition of the crops, the required water and fertilizer amount, the soil moisture content of farmland and the meteorological information of the farmland, issue an irrigation or fertilization instruction to the water and fertilizer mixed application system, and the water and fertilizer mixed application system automatically completes the proportion, mixed stirring and irrigation of the water and fertilizer and does not need manual operation and fixed time and quantity, so that the accurate mixed application of the water and fertilizer is achieved; the inspection robot is used for carrying out periodic inspection on crops, carrying out online monitoring and positioning on diseases and insect pests, identifying the types of the diseases and insect pests and carrying out accurate targeted spray pesticide application, can replace a traditional disease and insect pest detection method based on personal experience and visual observation, realizes quick, efficient and accurate autonomous disease and insect pest detection, and frees people from past complicated detection links.
Drawings
FIG. 1 is an overall block diagram for showing the system of the present embodiment;
FIG. 2 is a block diagram for showing a water and fertilizer application system;
fig. 3 is an interface diagram for showing a water and fertilizer mixed application system.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and specific embodiments. It should be understood that these examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Furthermore, it should be understood that various changes or modifications of the present invention may be made by those skilled in the art after reading the teaching of the present invention, and these equivalents also fall within the scope defined by the present application.
The utility model discloses a water and fertilizer integrated system based on artificial intelligence, which comprises an information acquisition and processing system, a water and fertilizer mixed application system, an inspection robot, a distributed monitoring center and a cloud platform; the system comprises an information acquisition system, a water and fertilizer acquisition system and an inspection robot, wherein the information acquisition system, the water and fertilizer acquisition system and the inspection robot respectively correspond to a distributed monitoring center, the distributed monitoring center is used for feeding back information to a cloud platform and transmitting an instruction issued by the cloud platform to the information acquisition system, the water and fertilizer mixed application system and the inspection robot, the information acquisition and processing system acquires data such as soil moisture, a soil pH value, a soil EC value, a soil temperature value, air temperature and humidity, illumination intensity, rainfall, trace element content and the like, and the water and fertilizer mixed application system receives the instruction issued by the cloud platform and performs water and fertilizer mixed application on crops; the inspection robot is used for regularly inspecting crops, monitoring and positioning diseases and insect pests on line and identifying the types of the diseases and insect pests, feeding information back to the cloud platform through the distributed monitoring center, and spraying and applying pesticide to the crops in a targeted manner accurately; the cloud platform issues the instructions for fertilizing and irrigating crops to the water and fertilizer mixed application system or issues the instructions for controlling crop diseases and insect pests to the inspection robot according to the data information fed back by the information acquisition and processing system and the inspection robot.
The distributed monitoring center serves as an intermediate station, is connected with the information processing system, the water and fertilizer mixed application system, the inspection robot and the cloud platform through wired transmission or wireless transmission, feeds back information to the cloud platform, or sends instructions of the cloud platform to the information processing system, the water and fertilizer mixed application system and the inspection robot.
The information acquisition and processing system comprises a meteorological monitoring module and a soil monitoring module, wherein the meteorological monitoring module comprises a wind speed sensor, a wind direction sensor, a rainfall sensor, an illumination sensor and a temperature and humidity sensor; the soil monitoring component comprises an EC value sensor, a pH value sensor and CO2The sensor, the soil moisture content sensor and the trace element sensor; the information acquisition and processing system distributed monitoring center is connected with the cloud platform and used for feeding back information to the cloud platform and receiving instructions sent by the cloud platform. The information acquisition and processing system processes collected meteorological data or soil data information through the distributed monitoring center and then transmits the processed meteorological data or soil data information to the cloud platform, the cloud platform combines crop growth cycle information according to meteorological information, soil moisture content information, a pH value and an EC value to formulate the proportion of the fertilizer required by each growth cycle of crops, and issues irrigation or fertilization instructions to the water and fertilizer mixed application system.
The water and fertilizer mixed application system comprises a constant water pressure frequency conversion control system, a water quality filtering system, a water and power utilization monitoring system, a fertilizer proportioning barrel and a water and fertilizer integrated machine, and is connected with the cloud platform through a distributed monitoring center and used for feeding back information to the cloud platform and receiving instructions sent by the cloud platform. The cloud platform controls the water and fertilizer blending proportion of the water and fertilizer mixed application system according to the soil moisture content and the growth period and growth condition of crops, so that accurate irrigation and accurate fertilization are realized, the irrigation efficiency is improved, the volatile loss of the fertilizer is reduced, and the non-point source pollution is effectively inhibited.
The inspection robot comprises a robot positioning module, a path planning module, a disease and plant detection and positioning module, a disease and pest type identification module and an accurate target pesticide application module, and is connected with the cloud platform through a distributed monitoring center and used for feeding back information to the cloud platform and receiving an instruction sent by the cloud platform. The traditional disease and insect pest detection method mainly depends on personal experience and visual observation, can meet the requirement of small-piece crop planting areas, and obviously cannot meet the requirement of agricultural development for large-scale concentrated planting areas; the utility model discloses the utilization is patrolled and examined the robot and is accurate, swift, high-efficient to accomplish the detection task to crops, makes the plant diseases and insect pests detect the location more accurate, independently ization, intellectuality, makes people liberate from loaded down with trivial details detection link in the past.
The cloud platform is an Ali cloud platform, and a crop growth model database, a pest and disease damage model database and an expert experience database are established on the cloud platform. The cloud platform makes a fertigation plan according to the growth stage of crops, meteorological information and soil information in the field, and in addition, the agent is prepared according to expert experience and disease symptoms of the crops.
The cloud platform is connected with a mobile phone terminal or a PC terminal; scientific researchers or planting farmers remotely control the water and fertilizer mixed application system and the inspection robot in the field through a PC or a mobile phone.
The specific implementation manner of this embodiment:
the information acquisition system and the inspection robot analyze the acquired field meteorological information, soil information and crop growth information through the distributed monitoring center and transmit the field meteorological information, the soil information and the crop growth information to the cloud platform, the cloud platform formulates the proportion of fertilizers required by each growth period of crops according to a crop growth model and the crop growth condition fed back by the information acquisition system, and issues an irrigation or fertilization instruction to the mixed water and fertilizer application system, and the mixed water and fertilizer application system automatically completes mixed water and fertilizer stirring and irrigation of the crops; the inspection robot is used for carrying out periodic inspection on crops, carrying out online monitoring and positioning on diseases and insect pests, identifying the types of the diseases and insect pests and carrying out accurate targeted spray pesticide application, can replace a traditional disease and insect pest detection method based on personal experience and visual observation, realizes quick, efficient and accurate autonomous disease and insect pest detection, and frees people from past complicated detection links.
By adopting the water and fertilizer integrated intelligent irrigation and target accurate pesticide spraying technology, the demand of crop growth and fertilization is intelligently identified, the irrigation efficiency is improved, the volatilization and loss of the fertilizer are effectively reduced, the non-point source pollution is inhibited, and the market prospect is wide. The water and fertilizer mixed application system is used for scientific planting and scientific application of crops, improves the grain yield and improves the soil structure; the water and fertilizer are saved, green agriculture is developed, and the important significance is achieved for liberating agricultural labor force. Quickening the change of agricultural water using mode from extensive to intensive and accurate, relieving the contradiction of water resource shortage, and forming a new pattern of development and nature coordination.
Claims (7)
1. A water and fertilizer integrated system based on artificial intelligence is characterized by comprising an information acquisition and processing system, a water and fertilizer mixed application system, an inspection robot, a distributed monitoring center and a cloud platform; the system comprises an information acquisition system, a water and fertilizer acquisition system and an inspection robot, wherein the information acquisition system, the water and fertilizer acquisition system and the inspection robot respectively correspond to a distributed monitoring center, the distributed monitoring center is used for feeding back information to a cloud platform and transmitting an instruction issued by the cloud platform to the information acquisition system, the water and fertilizer mixed application system and the inspection robot, the information acquisition and processing system is used for acquiring soil moisture, a soil pH value, a soil EC value, a soil temperature value, air temperature and humidity, illumination intensity, rainfall and trace element content data, and the water and fertilizer mixed application system is used for receiving the instruction issued by the cloud platform and performing water and fertilizer mixed application on crops; the inspection robot is used for periodically inspecting crops, monitoring and positioning diseases and insect pests on line and identifying the types of the diseases and insect pests, feeding information back to the cloud platform through the distributed monitoring center, and spraying and applying pesticide to the crops in a precise targeting manner; the cloud platform issues the instruction of fertilizing and irrigating crops to the water and fertilizer mixed application system according to the information acquisition and processing system and the data information fed back by the inspection robot, or issues the instruction of treating crop diseases and insect pests to the inspection robot.
2. The artificial intelligence based water and fertilizer integrated system according to claim 1, wherein the distributed monitoring center is connected with the information processing system, the water and fertilizer mixed application system, the inspection robot and the cloud platform through wired transmission or wireless transmission as an intermediate station, and feeds back information to the cloud platform, or sends an instruction of the cloud platform to the information processing system, the water and fertilizer mixed application system and the inspection robot.
3. The artificial intelligence based water and fertilizer integrated system according to claim 1, wherein the information acquisition and processing system comprises a meteorological monitoring module and a soil monitoring module, the meteorological monitoring module comprises a wind speed sensor, a wind direction sensor, a rainfall sensor, an illumination sensor and a temperature and humidity sensor; the soil monitoring component comprises an EC value sensor, a pH value sensor and CO2The sensor, the soil moisture content sensor and the trace element sensor; the information acquisition and processing system distributed monitoring center is connected with the cloud platform and used for feeding back information to the cloud platform and receiving instructions sent by the cloud platform.
4. The artificial intelligence based water and fertilizer integrated system is characterized in that the water and fertilizer mixed application system comprises a constant water pressure frequency conversion control system, a water quality filtering system, a water and power utilization monitoring system, a fertilizer proportioning barrel and a water and fertilizer integrated machine, and the water and fertilizer mixed application system is connected with a cloud platform through a distributed monitoring center and used for feeding back information to the cloud platform and receiving instructions sent by the cloud platform.
5. The water and fertilizer integrated system based on artificial intelligence of claim 1, characterized in that the inspection robot comprises a robot positioning module, a path planning module, a disease detection and positioning module, a pest type identification module and a precise target pesticide application module, and the robot is connected with the cloud platform through a distributed monitoring center and is used for feeding back information to the cloud platform and receiving instructions sent by the cloud platform.
6. The artificial intelligence based water and fertilizer integration system as claimed in claim 1, wherein the cloud platform is an Aliyun platform, and a crop growth model database, a pest and disease damage model database and an expert experience database are established on the cloud platform.
7. The artificial intelligence based water and fertilizer integration system as claimed in claim 1, wherein the cloud platform is connected with a mobile phone terminal or a PC terminal.
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| CN201922147325.3U CN211149296U (en) | 2019-12-04 | 2019-12-04 | Water and fertilizer integrated system based on artificial intelligence |
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| CN201922147325.3U CN211149296U (en) | 2019-12-04 | 2019-12-04 | Water and fertilizer integrated system based on artificial intelligence |
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| CN211149296U true CN211149296U (en) | 2020-07-31 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113377141A (en) * | 2021-05-31 | 2021-09-10 | 捷佳润科技集团股份有限公司 | Artificial intelligence agricultural automatic management system |
| CN116295662A (en) * | 2023-05-23 | 2023-06-23 | 北京易同云网科技有限公司 | Crop growth state monitoring method and device, electronic equipment and medium |
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2019
- 2019-12-04 CN CN201922147325.3U patent/CN211149296U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113377141A (en) * | 2021-05-31 | 2021-09-10 | 捷佳润科技集团股份有限公司 | Artificial intelligence agricultural automatic management system |
| CN116295662A (en) * | 2023-05-23 | 2023-06-23 | 北京易同云网科技有限公司 | Crop growth state monitoring method and device, electronic equipment and medium |
| CN116295662B (en) * | 2023-05-23 | 2023-08-29 | 北京易同云网科技有限公司 | Crop growth state monitoring method and device, electronic equipment and medium |
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