CN109781963A - A kind of field planting environmental monitoring system - Google Patents
A kind of field planting environmental monitoring system Download PDFInfo
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- CN109781963A CN109781963A CN201910083028.9A CN201910083028A CN109781963A CN 109781963 A CN109781963 A CN 109781963A CN 201910083028 A CN201910083028 A CN 201910083028A CN 109781963 A CN109781963 A CN 109781963A
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Abstract
The invention discloses a kind of field planting environmental monitoring systems, it is related to reading intelligent agriculture technical field, including Cloud Server, mobile terminal, intelligent control host and environmental monitoring point, intelligent control host and mobile terminal are communicated to connect with Cloud Server respectively, environmental monitoring point includes growth of cereal crop seedlings disaster surveillance module, Soil Moisture Monitoring module and Insect infestation monitoring module, and growth of cereal crop seedlings disaster surveillance module, Soil Moisture Monitoring module and Insect infestation monitoring module are connect with intelligent control host respectively;The present invention by farm environment, crop growth situation and insect pest situation are monitored and data acquire, collected data transmission to Cloud Server is subjected to storage by intelligent control host and data are analyzed, and analysis result and environmental monitoring data are pushed into mobile terminal, it enables a user to accurately and rapidly obtain farm environment data and the current upgrowth situation of crops, and crops are accurately managed based on the analysis results, it can more stable, efficient control crop growth and raising yield.
Description
Technical field
The present invention relates to reading intelligent agriculture technical fields, more particularly, to a kind of field planting environmental monitoring system.
Background technique
Agricultural problem is the basic problem and a national key industries of Global Sustainable Development, intelligent high
Today of speed development, precision agriculture become the new trend of new century agricultural development, and intelligent agriculture also becomes current one very heavy
The project wanted.The real-time acquisition of agricultural land information is the primary demand of precision agriculture, possesses a whole set of perfect intelligent farmland number
It is the indices information that can in time, accurately and efficiently obtain in agricultural production process according to acquisition system, it is raw improves agricultural
Produce the key of management and decision.
Summary of the invention
In view of this, the purpose of the present invention is to provide a kind of field planting environmental monitoring systems, to improve the above problem.
To achieve the goals above, the present invention adopts the following technical scheme:
Specifically, a kind of field planting environmental monitoring system, including Cloud Server, mobile terminal, intelligent control host and
Environmental monitoring point, the intelligent control host and mobile terminal are communicated to connect with the Cloud Server respectively, the environmental monitoring
Point includes growth of cereal crop seedlings disaster surveillance module, Soil Moisture Monitoring module and Insect infestation monitoring module, the growth of cereal crop seedlings disaster surveillance module, soil moisture content prison
It surveys module and Insect infestation monitoring module is connect with the intelligent control host respectively;
The growth of cereal crop seedlings disaster surveillance module is for acquiring the image data of crops and the figure that will acquire in monitoring area
As data are sent to the intelligent control host;
The Soil Moisture Monitoring module is used to acquire the soil parameters in monitoring area and the soil parameters that will acquire is sent
To the intelligent control host;
The Insect infestation monitoring module is used for the deinsectization that is monitored in region and the acquisition of insect pest situation data, and by collected worm
Feelings data are sent to the intelligent control host;
The intelligent control host is for receiving image data, soil parameters and insect pest situation data and sending out the data received
It send to Cloud Server;
The Cloud Server is for receiving image data, soil parameters and insect pest situation data and storing, to the data received
Carry out calculating analysis;
The mobile terminal is used to send inquiry instruction to the Cloud Server, checks image data, soil parameters, insect pest situation
Data and Calculation results.
Further, the growth of cereal crop seedlings the condition of a disaster module include the first camera and infrared camera, first camera and
Infrared camera is connect with the intelligent control host respectively, and the first camera is used to acquire the farming in monitoring area in the daytime
Object image, infrared camera are used for the crops infrared image in night acquisition monitoring area.
Further, the Soil Moisture Monitoring module includes the first Temperature Humidity Sensor, soil salinity sensor, P in soil H value
Sensor, specific soil conductivity sensor and soil density sensor, first Temperature Humidity Sensor are arranged in area to be monitored
In the soil in domain, for monitoring the temperature and humidity in soil;First Temperature Humidity Sensor, soil salinity sensor, soil
Earth pH value sensor, specific soil conductivity sensor and soil density sensor are connect with the intelligent control host respectively.
Further, the Insect infestation monitoring module includes luring worm unit and image acquisition units, described to lure worm unit for too
Positive energy pest forecast lamp, described image acquisition unit are second camera, and the solar energy pest forecast lamp is for luring worm and going out
Worm, the second camera for acquiring insect pest situation image, solar energy pest forecast lamp and second camera respectively with the intelligence
Control host connection.
Further, the system also includes weather monitoring module, the weather monitoring module is passed including the second temperature and humidity
Sensor, carbon dioxide sensor, precipitation rain fall sensor, wind speed wind direction sensor and optical sensor, second temperature and humidity sensing
Device, carbon dioxide sensor, precipitation rain fall sensor, wind speed wind direction sensor and optical sensor respectively with the intelligent control host
Connection;Second Temperature Humidity Sensor, carbon dioxide sensor, precipitation rain fall sensor, wind speed wind direction sensor and illumination sensing
Device is separately positioned on the periphery in area to be tested farmland, for monitoring the aerial temperature and humidity, gas concentration lwevel, rain on farmland periphery
Measure data, wind speed and direction data and photometric data.
Further, the weather monitoring module further includes that SO 2 sensor, nitrogen dioxide sensor and PM2.5 are passed
Sensor, the SO 2 sensor, nitrogen dioxide sensor and PM2.5 sensor connect with the intelligent control host respectively
It connects.
Further, the intelligent control host is communicated to connect by 4G network and the Cloud Server.
Compared with prior art, the beneficial effects of the present invention are:
A kind of field planting environmental monitoring system provided by the invention, passes through growth of cereal crop seedlings disaster surveillance module, Soil Moisture Monitoring mould
Block, Insect infestation monitoring module and weather monitoring module are monitored to farm environment, crop growth situation and insect pest situation and data are adopted
Collected data transmission to Cloud Server is carried out storage by intelligent control host and data is analyzed, and analysis is tied by collection
Fruit and environmental monitoring data push to mobile terminal, enable a user to accurately and rapidly obtain farm environment data and crops
Current upgrowth situation, and crops accurately being managed based on the analysis results, can it is more stable, efficiently control farming
Object growth and raising yield.
Detailed description of the invention
Fig. 1 is a kind of structural schematic diagram for field planting environmental monitoring system that present pre-ferred embodiments provide;
Fig. 2 is the structural schematic diagram for another field planting environmental monitoring system that present pre-ferred embodiments provide.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.The present invention being usually described and illustrated herein in the accompanying drawings is implemented
The component of example can be arranged and be designed with a variety of different configurations.
Therefore, the detailed description of the embodiment of the present invention provided in the accompanying drawings is not intended to limit below claimed
The scope of the present invention, but be merely representative of selected embodiment of the invention.Based on the embodiments of the present invention, this field is common
Technical staff's every other embodiment obtained without creative efforts belongs to the model that the present invention protects
It encloses.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.
Term " first ", " second ", " third " etc. are only used for distinguishing description, are not understood to indicate or imply relatively heavy
The property wanted.
In addition, term " parallel ", " vertical " etc. are not offered as requiring component absolute parallel or vertical, but can slightly incline
Tiltedly.It is not to indicate that the structure has to put down completely if " parallel " only refers to that its direction is more parallel with respect to for " vertical "
Row, but can be slightly tilted.
In the description of the present invention, it is also necessary to which explanation is unless specifically defined or limited otherwise, term " setting ",
" installation ", " connected ", " connection " shall be understood in a broad sense, for example, it may be fixedly connected, may be a detachable connection or one
Connect to body;It can be directly connected, the connection inside two elements can also be can be indirectly connected through an intermediary.
For the ordinary skill in the art, the concrete meaning of above-mentioned term in the present invention can be understood with concrete condition.
As shown in Figure 1, a kind of field planting environmental monitoring system, including Cloud Server, mobile terminal, intelligent control host
And environmental monitoring point, intelligent control host and mobile terminal are communicated to connect with Cloud Server respectively, environmental monitoring point includes the growth of cereal crop seedlings
Disaster surveillance module, Soil Moisture Monitoring module and Insect infestation monitoring module, growth of cereal crop seedlings disaster surveillance module, Soil Moisture Monitoring module and insect pest situation prison
It surveys module to connect with intelligent control host respectively, intelligent control host and mobile terminal pass through 4G network respectively and lead to Cloud Server
Letter connection, mobile terminal can be but be not limited to smart phone or tablet computer, and intelligent control host can control for wireless PLC
Device.
Growth of cereal crop seedlings disaster surveillance module is for acquiring the image data of crops and the picture number that will acquire in monitoring area
According to being sent to intelligent control host;Soil Moisture Monitoring module is used for the soil that acquires the soil parameters in monitoring area and will acquire
Parameter is sent to intelligent control host;The deinsectization and the acquisition of insect pest situation data that Insect infestation monitoring module is used to be monitored in region, and
Collected insect pest situation data are sent to intelligent control host;Intelligent control host for receive image data, soil parameters and
The data received are simultaneously sent to Cloud Server by insect pest situation data;Cloud Server is for receiving image data, soil parameters and worm
Feelings data simultaneously store, and carry out calculating analysis to the data received;Mobile terminal is used to send inquiry instruction to Cloud Server, looks into
See image data, soil parameters, insect pest situation data and Calculation results.
As shown in Fig. 2, growth of cereal crop seedlings the condition of a disaster module includes the first camera and infrared camera, the first camera and infrared photography
Head is connect with intelligent control host respectively, and the first camera is used to acquire the crop map picture in monitoring area in the daytime, infrared
Camera is used for the crops infrared image in night acquisition monitoring area, and the first camera is high definition ball camera, setting
First camera and infrared camera carry out the Image Acquisition of crops in setting interval time, and by acquired image data
It is sent to intelligent control host, image data is sent to Cloud Server, cloud service by 4G wireless network by intelligent control host
Device is further processed the image data received, analyzes, and judges whether the growing state of current crops is normal, when sentencing
When disconnected crop growth situation exception, Cloud Server will analyze result and push to corresponding customer mobile terminal and alert, and remind
User's crop growth is abnormal.
Soil Moisture Monitoring module is led including the first Temperature Humidity Sensor, soil salinity sensor, P in soil H value sensor, soil
Electric rate sensor and soil density sensor, the first Temperature Humidity Sensor is arranged in the soil in region to be monitored, for supervising
Survey the temperature and humidity in soil;First Temperature Humidity Sensor, soil salinity sensor, P in soil H value sensor, soil conductivity
Rate sensor and soil density sensor are connect with intelligent control host respectively.
In the present embodiment, the first Temperature Humidity Sensor, soil salinity sensor, P in soil H value sensor, specific soil conductivity
Sensor, soil density sensor and intelligent control host are provided with 433MHZ radio receiving transmitting module, and pass through 433MHZ
The wireless transmission that radio receiving transmitting module and intelligent control host carry out data realizes multiple biographies by 433MHZ wireless network
The transmission of the wireless short-distance of sensor and intelligent control host, without being largely routed, system setting is simple, by soil
Temperature and humidity, salinity, pH value, conductivity and the degree of packing monitoring, realize complete detection soil nutrient content, be conducive to guidance use
Family accurately carries out the paddy field rational application of fertilizer, improves yield and avoids the environmental problem as caused by excessive fertilization.
Further, Insect infestation monitoring module includes luring worm unit and image acquisition units, and luring worm unit is solar energy insect pest situation
Measuring and reporting lamp, image acquisition units are second camera, and for luring worm and deinsectization, second camera is used for solar energy pest forecast lamp
Insect pest situation image is acquired, solar energy pest forecast lamp and second camera are connect with intelligent control host respectively, pass through solar energy worm
Feelings Measuring and reporting lamp realizes in the case where no supervision, is automatically performed and lures the system jobs such as worm and desinsection, second camera timing
The polypide picture collected in insect receiving box is acquired, and polypide picture is uploaded to by Cloud Server, cloud service by intelligent control host
Device is analyzed and processed collected polypide picture, judges the information such as type and the quantity of polypide, and processing result is carried out
It records and stores, forms insect pest database, showed by way of data list and chart, user can pass through mobile terminal remote
The case where understanding polypide and variation, to formulate prevention and control measure.
Further, system further includes weather monitoring module, and weather monitoring module includes the second Temperature Humidity Sensor, dioxy
Change carbon sensor, precipitation rain fall sensor, wind speed wind direction sensor, optical sensor, SO 2 sensor, nitrogen dioxide sensor
And PM2.5 sensor, the second Temperature Humidity Sensor, carbon dioxide sensor, precipitation rain fall sensor, wind speed wind direction sensor, illumination
Sensor, SO 2 sensor, nitrogen dioxide sensor and PM2.5 sensor are connect with intelligent control host respectively;Second
Temperature Humidity Sensor, carbon dioxide sensor, precipitation rain fall sensor, wind speed wind direction sensor, optical sensor, sulfur dioxide sensing
Device, nitrogen dioxide sensor and PM2.5 sensor are separately positioned on the periphery in area to be tested farmland, for monitoring farmland periphery
Aerial temperature and humidity, gas concentration lwevel, rainfall data, wind speed and direction data, photometric data, titanium dioxide sulfur number, nitrogen dioxide
Value and PM2.5 value;Second Temperature Humidity Sensor, carbon dioxide sensor, precipitation rain fall sensor, wind speed wind direction sensor, illumination pass
Sensor, SO 2 sensor, nitrogen dioxide sensor and PM2.5 sensor, the second Temperature Humidity Sensor, carbon dioxide sensing
Device, precipitation rain fall sensor, wind speed wind direction sensor, optical sensor, SO 2 sensor, nitrogen dioxide sensor and PM2.5
Sensor be provided with 433MHZ radio receiving transmitting module and respectively by 433MHZ radio receiving transmitting module and intelligent control host into
Collected environmental data is sent to Cloud Server and stores and analyze by the transmission of row data, intelligent control host.
It can effectively the soil constituent to farmland, surrounding enviroment, the growth of crops and insect pest carry out entirely through the invention
Face monitoring, Cloud Server are analyzed according to collected data, and abnormal in soil constituent, crop growth and surrounding enviroment
When warning information is pushed into customer mobile terminal in time, meanwhile, based on the analysis results intelligence be user push irrigation strategy, make
Farm environment data and the current upgrowth situation of crops can accurately and rapidly be obtained by obtaining user, and based on the analysis results to farming
Object is accurately managed, can more stable, efficient control crop growth and raising yield.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (7)
1. a kind of field planting environmental monitoring system, which is characterized in that including Cloud Server, mobile terminal, intelligent control host
And environmental monitoring point, the intelligent control host and mobile terminal are communicated to connect with the Cloud Server respectively, the environment prison
Control point includes growth of cereal crop seedlings disaster surveillance module, Soil Moisture Monitoring module and Insect infestation monitoring module, the growth of cereal crop seedlings disaster surveillance module, soil moisture content
Monitoring modular and Insect infestation monitoring module are connect with the intelligent control host respectively;
The growth of cereal crop seedlings disaster surveillance module is for acquiring the image data of crops and the picture number that will acquire in monitoring area
According to being sent to the intelligent control host;
The Soil Moisture Monitoring module is used to acquire the soil parameters in monitoring area and the soil parameters that will acquire is sent to institute
State intelligent control host;
The Insect infestation monitoring module is used for the deinsectization that is monitored in region and the acquisition of insect pest situation data, and by collected insect pest situation number
According to being sent to the intelligent control host;
The intelligent control host is for receiving image data, soil parameters and insect pest situation data and being sent to the data received
Cloud Server;
The Cloud Server carries out the data received for receiving image data, soil parameters and insect pest situation data and storing
Calculate analysis;
The mobile terminal is used to send inquiry instruction to the Cloud Server, checks image data, soil parameters, insect pest situation data
And Calculation results.
2. a kind of field planting environmental monitoring system according to claim 1, which is characterized in that the growth of cereal crop seedlings the condition of a disaster module
Including the first camera and infrared camera, first camera and infrared camera connect with the intelligent control host respectively
It connects, the first camera is used to acquire the crop map picture in monitoring area in the daytime, and infrared camera is used to acquire at night and supervise
Control the crops infrared image in region.
3. a kind of field planting environmental monitoring system according to claim 1, which is characterized in that the Soil Moisture Monitoring module
Including the first Temperature Humidity Sensor, soil salinity sensor, P in soil H value sensor, specific soil conductivity sensor and soil compaction
Spend sensor, first Temperature Humidity Sensor is arranged in the soil in region to be monitored, for monitor the temperature in soil and
Humidity;First Temperature Humidity Sensor, soil salinity sensor, P in soil H value sensor, specific soil conductivity sensor and soil
Earth degree of packing sensor is connect with the intelligent control host respectively.
4. a kind of field planting environmental monitoring system according to claim 1, which is characterized in that the Insect infestation monitoring module
Described to lure worm unit for solar energy pest forecast lamp including luring worm unit and image acquisition units, described image acquisition unit is
Second camera, for luring worm and deinsectization, the second camera is used to acquire insect pest situation image the solar energy pest forecast lamp,
Solar energy pest forecast lamp and second camera are connect with the intelligent control host respectively.
5. a kind of field planting environmental monitoring system according to claim 1, which is characterized in that the system also includes gas
As monitoring modular, the weather monitoring module includes the second Temperature Humidity Sensor, carbon dioxide sensor, precipitation rain fall sensor, wind
Fast wind transducer and optical sensor, second Temperature Humidity Sensor, carbon dioxide sensor, precipitation rain fall sensor, wind speed
Wind transducer and optical sensor are connect with the intelligent control host respectively;Second Temperature Humidity Sensor, titanium dioxide
Carbon sensor, precipitation rain fall sensor, wind speed wind direction sensor and optical sensor are separately positioned on the periphery in area to be tested farmland,
For monitoring aerial temperature and humidity, gas concentration lwevel, rainfall data, wind speed and direction data and the photometric data on farmland periphery.
6. a kind of field planting environmental monitoring system according to claim 5, which is characterized in that the weather monitoring module
It further include SO 2 sensor, nitrogen dioxide sensor and PM2.5 sensor, the SO 2 sensor, nitrogen dioxide
Sensor and PM2.5 sensor are connect with the intelligent control host respectively.
7. a kind of field planting environmental monitoring system according to claim 1, which is characterized in that the intelligent control host
It is communicated to connect by 4G network and the Cloud Server.
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CN110308710A (en) * | 2019-08-13 | 2019-10-08 | 深圳市睿海智电子科技有限公司 | A kind of tomato planting monitor supervision platform |
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CN111060671A (en) * | 2019-12-30 | 2020-04-24 | 中国科学院合肥物质科学研究院 | Integrated agricultural four-condition rapid detection device and working method thereof |
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Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101581713A (en) * | 2009-06-15 | 2009-11-18 | 山西农业大学 | Farmland information collector |
CN103488157A (en) * | 2013-10-11 | 2014-01-01 | 济南祥辰科技有限公司 | Standard agriculture and forestry disease and insect pest observation field |
CN105979001A (en) * | 2016-06-28 | 2016-09-28 | 济南祥辰科技有限公司 | System for monitoring four agricultural and forestal conditions |
CN105974833A (en) * | 2016-06-30 | 2016-09-28 | 哈尔滨尼亚农业有限公司 | Intelligent farmland environment management system |
WO2016183182A1 (en) * | 2015-05-14 | 2016-11-17 | Board Of Trustees Of Michigan State University | Methods and systems for crop land evaluation and crop growth management |
CN205785335U (en) * | 2016-06-28 | 2016-12-07 | 济南祥辰科技有限公司 | Agricultural four feelings information collecting device |
WO2016200699A1 (en) * | 2015-06-08 | 2016-12-15 | Precision Planting Llc | Agricultural data analysis |
CN206057576U (en) * | 2016-10-13 | 2017-03-29 | 新疆天翔精准农业装备有限公司 | Crop management system based on big-dipper satellite remote control and unmanned aerial vehicle remote sensing |
CN206056666U (en) * | 2016-10-13 | 2017-03-29 | 新疆天翔精准农业装备有限公司 | A kind of agricultural land information of big-dipper satellite is processed and acquisition system |
CN206330977U (en) * | 2016-12-13 | 2017-07-14 | 江苏珀安环境技术工程有限公司 | A kind of intelligent cloud controls soil Moisture feelings detecting systems |
EP3192021A1 (en) * | 2014-09-12 | 2017-07-19 | The Climate Corporation | Methods and systems for managing agricultural activities |
CN206710847U (en) * | 2017-05-09 | 2017-12-05 | 太原开拓科技有限公司 | A kind of Agricultural Information detecting system based on big data |
CN107613021A (en) * | 2017-10-18 | 2018-01-19 | 四川聚峰谷农业科技开发有限公司 | Agriculture Internet of Things information management system based on cloud mode |
CN108830741A (en) * | 2018-06-20 | 2018-11-16 | 汤怀志 | A kind of farm environment intelligent monitor system |
-
2019
- 2019-01-26 CN CN201910083028.9A patent/CN109781963A/en active Pending
Patent Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101581713A (en) * | 2009-06-15 | 2009-11-18 | 山西农业大学 | Farmland information collector |
CN103488157A (en) * | 2013-10-11 | 2014-01-01 | 济南祥辰科技有限公司 | Standard agriculture and forestry disease and insect pest observation field |
EP3192021A1 (en) * | 2014-09-12 | 2017-07-19 | The Climate Corporation | Methods and systems for managing agricultural activities |
WO2016183182A1 (en) * | 2015-05-14 | 2016-11-17 | Board Of Trustees Of Michigan State University | Methods and systems for crop land evaluation and crop growth management |
WO2016200699A1 (en) * | 2015-06-08 | 2016-12-15 | Precision Planting Llc | Agricultural data analysis |
CN105979001A (en) * | 2016-06-28 | 2016-09-28 | 济南祥辰科技有限公司 | System for monitoring four agricultural and forestal conditions |
CN205785335U (en) * | 2016-06-28 | 2016-12-07 | 济南祥辰科技有限公司 | Agricultural four feelings information collecting device |
CN105974833A (en) * | 2016-06-30 | 2016-09-28 | 哈尔滨尼亚农业有限公司 | Intelligent farmland environment management system |
CN206056666U (en) * | 2016-10-13 | 2017-03-29 | 新疆天翔精准农业装备有限公司 | A kind of agricultural land information of big-dipper satellite is processed and acquisition system |
CN206057576U (en) * | 2016-10-13 | 2017-03-29 | 新疆天翔精准农业装备有限公司 | Crop management system based on big-dipper satellite remote control and unmanned aerial vehicle remote sensing |
CN206330977U (en) * | 2016-12-13 | 2017-07-14 | 江苏珀安环境技术工程有限公司 | A kind of intelligent cloud controls soil Moisture feelings detecting systems |
CN206710847U (en) * | 2017-05-09 | 2017-12-05 | 太原开拓科技有限公司 | A kind of Agricultural Information detecting system based on big data |
CN107613021A (en) * | 2017-10-18 | 2018-01-19 | 四川聚峰谷农业科技开发有限公司 | Agriculture Internet of Things information management system based on cloud mode |
CN108830741A (en) * | 2018-06-20 | 2018-11-16 | 汤怀志 | A kind of farm environment intelligent monitor system |
Cited By (22)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110308710A (en) * | 2019-08-13 | 2019-10-08 | 深圳市睿海智电子科技有限公司 | A kind of tomato planting monitor supervision platform |
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Application publication date: 20190521 |