CN205861560U - Farmland monitoring system - Google Patents

Farmland monitoring system Download PDF

Info

Publication number
CN205861560U
CN205861560U CN201620502517.5U CN201620502517U CN205861560U CN 205861560 U CN205861560 U CN 205861560U CN 201620502517 U CN201620502517 U CN 201620502517U CN 205861560 U CN205861560 U CN 205861560U
Authority
CN
China
Prior art keywords
farmland
alert
image
monitoring
unmanned plane
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn - After Issue
Application number
CN201620502517.5U
Other languages
Chinese (zh)
Inventor
庄家煜
李哲敏
陈威
仲晓春
黄敏
张永恩
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Agricultural Information Institute of CAAS
Original Assignee
Agricultural Information Institute of CAAS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Agricultural Information Institute of CAAS filed Critical Agricultural Information Institute of CAAS
Priority to CN201620502517.5U priority Critical patent/CN205861560U/en
Application granted granted Critical
Publication of CN205861560U publication Critical patent/CN205861560U/en
Withdrawn - After Issue legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Alarm Systems (AREA)

Abstract

The utility model discloses a kind of farmland monitoring system.Described system includes unmanned plane and monitor terminal, described unmanned plane and described monitor terminal wireless connections;Wherein, the station location marker guide pile identification agrotype that described unmanned plane is arranged in farmland for basis, and according to described agrotype, the agriculture alert in farmland is monitored, the agriculture alert in the farmland monitored is sent to described monitor terminal;Described monitor terminal sends the agriculture alert in the farmland come for receiving described unmanned plane, and notifies management personnel.This utility model achieves intellectual monitoring and the early warning in unmanned farmland on a large scale, is no longer dependent on manpower and is monitored, it is possible to reduce the input of human capital, improves the farmland monitoring efficiency in large-scale agricultural production.

Description

Farmland monitoring system
Technical field
This utility model embodiment relates to agricultural monitoring early warning technology, particularly relates to a kind of farmland monitoring system.
Background technology
China is traditional agriculture big country, and agricultural is the lifeblood of Chinese national economy.China's agricultural information-based, intelligentized is sent out Open up also in the elementary step, along with large-scale land transformation makes the agricultural production of large-scale automatization become the weight in future Want mode of agriculture.
And in the prior art, agricultural management also highly depend on manpower, easily cause the waste of resource, production cost Too high, it is unfavorable for liberating rural labour force, and excessively relies on the experience of staff, so that the production management of crops Inefficient, this phenomenon is particularly evident in large-scale agricultural production.
Utility model content
In view of this, this utility model embodiment provides a kind of farmland monitoring system, to improve large-scale agricultural production In farmland monitoring efficiency.
This utility model embodiment provides a kind of farmland monitoring system, and described system includes unmanned plane and monitor terminal, Described unmanned plane and described monitor terminal wireless connections;
Wherein, the station location marker guide pile identification agrotype that described unmanned plane is arranged in farmland for basis, and root According to described agrotype, the agriculture alert in farmland is monitored, the agriculture alert in the farmland monitored is sent to described monitoring Terminal;
Described monitor terminal sends the agriculture alert in the farmland come for receiving described unmanned plane, and notifies management personnel.
The technical scheme of this utility model embodiment, by unmanned plane according to the station location marker guide pile being arranged in farmland Identify agrotype, further according to the agriculture alert in agrotype monitoring farmland, and be sent to monitor terminal, monitor terminal lead to Know management personnel, it is achieved that the intellectual monitoring in unmanned farmland and early warning on a large scale, be no longer dependent on manpower and be monitored, The input of human capital can be reduced, improve the farmland monitoring efficiency in large-scale agricultural production.
Accompanying drawing explanation
Fig. 1 is the structural representation of a kind of farmland monitoring system that this utility model embodiment one provides;
Fig. 2 is the schematic diagram in the monitoring system monitoring farmland, farmland that this utility model embodiment provides;
Fig. 3 is the structural representation of a kind of farmland monitoring system that this utility model embodiment two provides;
Fig. 4 is the structural representation of the embedded LOAD FOR machine in the farmland monitoring system that this utility model embodiment provides Figure;
Fig. 5 is the flow process of the method in the monitoring farmland performed by the farmland monitoring system that this utility model embodiment provides Figure.
Detailed description of the invention
The utility model is described in further detail with embodiment below in conjunction with the accompanying drawings.It is understood that herein Described specific embodiment is used only for explaining this utility model, rather than to restriction of the present utility model.Further need exist for Bright, for the ease of describing, accompanying drawing illustrate only the part relevant to this utility model rather than full content.
Embodiment one
Fig. 1 is the structural representation of a kind of farmland monitoring system that this utility model embodiment one provides, and the present embodiment can Be applicable to situation about large-scale agricultural production, farmland being monitored, as it is shown in figure 1, the farmland prison shown in the present embodiment Examining system includes: unmanned plane 10 and monitor terminal 20, unmanned plane 10 and monitor terminal 20 wireless connections.
Wherein, the station location marker guide pile identification agrotype that unmanned plane 10 is arranged in farmland for basis, and according to The agriculture alert in farmland is monitored by described agrotype, and the agriculture alert in the farmland monitored is sent to monitor terminal 20;
Monitor terminal 20 sends the agriculture alert in the farmland come for receiving unmanned plane 10, and notifies management personnel.
Fig. 2 is the schematic diagram in the monitoring system monitoring farmland, farmland that this utility model embodiment provides, as in figure 2 it is shown, sharp When monitoring system monitoring farmland with the farmland including unmanned plane 10 and monitor terminal 20, need farmland is digitized, in order to It is identified location in unmanned plane 10, mainly station location marker guide pile 31 is set in farmland, realizes digitized farmland 30, In the monitoring visual field of unmanned plane station location marker guide pile quantity otherwise less than two.Wherein, station location marker guide pile be for Facilitate the unmanned plane farmland to be identified and positions, farmland arranges the guide pile with station location marker, to realize farmland Digitized.Described station location marker guide pile preferably includes station location marker, and described station location marker preferably includes agrotype and institute Rheme is put the information of mark location stake position coordinates in the coordinate system of farmland, i.e. station location marker and is mainly comprised this guide pile in agriculture Position coordinates in the coordinate system of field and feature thereof, such as: (ID, x, y), wherein, ID represent agrotype (as wheat paddock, corn field, Fructus Lycopersici esculenti field etc.), (x y) is this guide pile position coordinates in the coordinate system of farmland.Wherein, guide pile is in farmland coordinate system In position coordinates be the center of guide pile position coordinates in the coordinate system of farmland.
Wherein, described station location marker is the Quick Response Code mark of High redundancy.
In digitized farmland, the station location marker guide pile of use is the bossing in farmland, the position mark of upper surface Knowledge is the Quick Response Code (QR CODE) with High redundancy with anticorrosive paint spraying.Use High redundancy Quick Response Code useful it Place is that the time in the same plot of unmanned plane shooting is shorter, is easily made to shoot camera by airflow influence and occur shaking in shooting process Dynamic, this needs unmanned plane quickly can be identified Quick Response Code, and farm environment complexity needs unmanned plane cruise camera (i.e. Fixation and recognition camera) Quick Response Code had stronger error correcting capability, and the Quick Response Code with high redundancy degree can meet these and want Ask.
Unmanned plane 10 can identify the agrotype in current farmland of cruising according to described station location marker guide pile, further according to Described agrotype, calls the agriculture alert in recognizer corresponding with described agrotype monitoring farmland, when monitoring agricultural During alert, described agricultural alert is sent to monitor terminal 20.Monitor terminal 20 receives unmanned plane 10 and sends next farmland After agricultural alert, by the way of mail or note, notify management personnel so that management personnel take measures to eliminate institute as early as possible State agricultural alert.Wherein, the agriculture alert in described farmland preferably include following at least one: growth of cereal crop seedlings alert, growing way alert and disease Insect pest alert.
The monitoring of different crops index can be realized, such as: growth of cereal crop seedlings monitoring, Growing state survey, pest and disease damage prison by unmanned plane Survey etc..
The technical scheme of the present embodiment, identifies agriculture by unmanned plane according to the station location marker guide pile being arranged in farmland Field type, further according to the agriculture alert in agrotype monitoring farmland, and is sent to monitor terminal, monitor terminal notifies administrative man Member, it is achieved that the intellectual monitoring in unmanned farmland and early warning on a large scale, is no longer dependent on manpower and is monitored, it is possible to reduce The input of human capital, improves the farmland monitoring efficiency in large-scale agricultural production, and can find that agricultural is raw in time All kinds of alerts during product, reduce crops by all kinds of harm influences probability, control aquaculture cost, be conducive to the most more section Learn, specification carry out agricultural production.
Embodiment two
Fig. 3 is the structural representation of a kind of farmland monitoring system that this utility model embodiment two provides, and the present embodiment exists It is optimized on the basis of embodiment one, is optimized for unmanned plane 10 further including fixation and recognition camera 11, monitoring camera 12 and embedded LOAD FOR machine 13.
Wherein, fixation and recognition camera 11 and monitoring camera 12 are coaxially fixedly mounted on the unmanned aerial vehicle platform of unmanned plane 10, And be connected with embedded LOAD FOR machine 13 respectively, embedded LOAD FOR machine 13 and monitor terminal 20 wireless connections;
The station location marker guide pile that fixation and recognition camera 11 is arranged in farmland for shooting, and the location figure that will photograph As transmission to embedded LOAD FOR machine 13;
Monitoring camera 12 is for shooting the monitoring image in farmland, and the monitoring image transmitting extremely embedded load that will photograph Computer 13, monitors the agriculture alert in farmland;
Embedded LOAD FOR machine 13 is used for receiving described location image and described monitoring image, according to described location image With described monitoring image, identify the agriculture alert in described monitoring image, and go out described agricultural according to the framing of described location The position coordinates of alert, and the position coordinates of described monitoring image and described agricultural alert is sent to monitor terminal 20.
Fixation and recognition camera 11 and monitoring camera 12 are coaxially fixedly mounted on the unmanned aerial vehicle platform of unmanned plane 10, and simultaneously Shooting location image and monitoring image, thus go out the agriculture alert in farmland and corresponding according to location image and monitoring graphical analysis Position coordinates.
Monitoring camera is high definition camera, can include multiple camera with difference in functionality, according to different farmlands and agriculture Feelings use different types of camera, such as: monitor Field ecological effect with infrared camera, use EO-1 hyperion camera to monitor crops Disease (such as stripe rust of wheat, the rice blast etc. of Oryza sativa L.).
Fig. 4 is the structural representation of the embedded LOAD FOR machine in the farmland monitoring system that this utility model embodiment provides Figure, as shown in Figure 4, embedded LOAD FOR machine 13 includes FPGA, and (Field-Programmable Gate Array, scene can Programming gate array) 131, DSP (Digital Signal Processor, signal processor) 132 and signal generator 133;
Wherein, FPGA 131 and DSP 132 is connected, and DSP 132 is connected with signal generator 133, signal generator 133 with Monitor terminal 20 wireless connections;
FPGA 131 is used for receiving described location image and described monitoring image, and obtains described location image and described prison The data of described image are transferred to DSP 132 by the data of altimetric image;
The data of described location image and described monitoring image are analyzed by DSP 132, obtain the agriculture alert in farmland Position coordinates with agricultural alert;
Signal generator 133 is for sending the position coordinates of the agriculture alert in described farmland and described agricultural alert to prison Control terminal 20.
Wherein, FPGA is interface circuit, and DSP is computing circuit.Serial ports is passed through between DSP 132 and signal generator 133 Or IO (Input/Output, input/output) connects.
The technical scheme of the present embodiment, by the fixation and recognition camera on unmanned plane and monitoring camera shooting location image and Monitoring image, is analyzed described location image and monitoring image by embedded LOAD FOR machine, identifies the agricultural in farmland Alert and corresponding position coordinates, improve the precision of identification, further increase monitoring efficiency.
On the basis of technique scheme, when described unmanned plane is in the range of default cruising altitude, in described location Identify that in the monitoring visual field of camera, the quantity of station location marker guide pile is preferably at least two, and described station location marker guide pile Spacing meets following condition:
D ≤ H min · a r c t a n θ min 2 · c o s σ
Wherein, D is the spacing of described station location marker guide pile, HminPatrol for minimum in described default cruising altitude scope Flying height degree, θminFor the angle of visual field minima of fixation and recognition camera in unmanned plane, σ is degree of stability during unmanned plane work.
The above-mentioned condition met by station location marker guide pile, it is ensured that the positioning precision of unmanned plane.
Embodiment three
Fig. 5 is the flow process of the method in the monitoring farmland performed by the farmland monitoring system that this utility model embodiment provides Figure, the method in the monitoring farmland described in the present embodiment is that the farmland monitoring system provided with above-described embodiment performs, and specifically wraps Include following steps:
Step 510, is cruised in overhead, farmland by unmanned plane, according to the station location marker guide pile identification being arranged in farmland Agrotype, and the agriculture alert in farmland being monitored according to described agrotype, the agriculture alert in farmland that will monitor It is sent to monitor terminal.
Cruised in overhead, farmland to be monitored by unmanned plane, identify current cruise according to described station location marker guide pile The agrotype in farmland, further according to described agrotype, calls recognizer corresponding with described agrotype monitoring farmland Agricultural alert, when monitoring agricultural alert, is sent to monitor terminal by described agricultural alert.
Wherein, according to the station location marker guide pile identification agrotype being arranged in farmland, and according to described agrotype The agriculture alert in farmland is monitored, the agriculture alert in the farmland monitored is sent to monitor terminal and preferably includes:
The station location marker guide pile being arranged in farmland, and the location image that will photograph is shot by fixation and recognition camera Transmission is to embedded LOAD FOR machine;
By the monitoring image in monitoring camera shooting farmland, and the monitoring image transmitting extremely embedded loadometer that will photograph Calculation machine;
Receive described location image and described monitoring image by embedded LOAD FOR machine, know according to described location image Not current agrotype, is identified described monitoring image according to current agrotype, if the agricultural recognizing farmland is alert Feelings, then be identified the location image with the described identical time stamp of monitoring image, orients the position coordinates of described agricultural alert, The position coordinates of described monitoring image and described agricultural alert is sent to described monitor terminal.
After unmanned plane starts, for fixation and recognition camera, monitoring camera and the energising of embedded LOAD FOR machine.Owing to working as State unmanned plane in the range of default cruising altitude time, station location marker guide pile in the monitoring visual field of described fixation and recognition camera Quantity is at least two, and the location image that fixation and recognition camera photographs includes at least two station location marker guide pile.Monitoring Camera and fixation and recognition camera are coaxially mounted on unmanned aerial vehicle platform, and the angle of visual field of monitoring camera is less than fixation and recognition camera The angle of visual field, then the monitoring image that monitoring camera photographs is of the centre of the location image that fixation and recognition camera photographs Point.
After embedded LOAD FOR machine receives described location image and monitoring image, first identify in the image of described location Station location marker guide pile, and identify the current agrotype in described station location marker guide pile, thus according to current agrotype Described monitoring image is identified by the recognizer calling corresponding agrotype, and the most different types of crops need according to phase The recognizer answering type is identified, and calls corresponding monitoring algorithm to identify that the agriculture alert in farmland is (when the monitoring growth of cereal crop seedlings Time, call growth of cereal crop seedlings algorithm;When detecting pest and disease damage, call pest and disease damage algorithm).Occur in that agricultural alert is (such as disease if recognized Insect pest alert), then it is identified, by location according to the location image with the monitoring identical time stamp of image identifying agricultural alert At least two station location marker guide pile in image, orients the position coordinates of agricultural alert.Improve the prison of agricultural alert Survey precision, and improve the positioning precision of the position coordinates of agricultural alert.
Step 520, receives described unmanned plane by monitor terminal and sends the agriculture alert in the farmland come, and notify administrative man Member.
After receiving, by monitor terminal, the agriculture alert that unmanned plane sends the farmland come, and in the way of mail or note Notify management personnel so that management personnel take measures to eliminate described agricultural alert as early as possible.
The technical scheme of the present embodiment, is identified according to the station location marker guide pile being arranged in farmland by unmanned plane Agrotype, further according to the agriculture alert in agrotype monitoring farmland, and is sent to monitor terminal, by monitor terminal notice management Personnel, it is achieved that the intellectual monitoring in unmanned farmland and early warning on a large scale, it is no longer necessary to manpower is monitored, it is possible to reduce The input of human capital, improves the farmland monitoring efficiency in large-scale agricultural production, and can find that agricultural is raw in time All kinds of alerts during product, reduce crops by all kinds of harm influences probability, control aquaculture cost, be conducive to the most more section Learn, specification carry out agricultural production.
On the basis of technique scheme, if recognizing the agriculture alert in farmland, then to described monitoring image phase Being identified with the location image of time stamp, the position coordinates orienting described agricultural alert preferably includes:
If recognizing the agriculture alert in farmland, by DSP regarding according to described monitoring image and described monitoring camera Rink corner and the relation of the angle of visual field of fixation and recognition camera, determine described agricultural alert image coordinate in image coordinate system;
By DSP according to the location image with the described identical time stamp of monitoring image, determine the position mark in this location image In knowledge guide pile position coordinates in the coordinate system of farmland, and the image of described station location marker guide pile, the centre of form is in image coordinate Image coordinate in system;
By DSP according to described station location marker guide pile position coordinates in the coordinate system of farmland and described station location marker Centre of form image coordinate in image coordinate system in the image of guide pile, determines and is transformed into farmland coordinate system from image coordinate system Transfer matrix;
By DSP according to described agricultural alert image coordinate in image coordinate system and described transfer matrix, determine institute State agricultural alert position coordinates in the coordinate system of farmland.
Wherein, described image coordinate system is the image coordinate system of specific bit image, and with location image center as initial point. When recognizing the agriculture alert in farmland, it is first determined go out described agricultural alert in the image coordinate system of described monitoring image Image coordinate, owing to monitoring camera and fixation and recognition camera are coaxially mounted on unmanned aerial vehicle platform, and fixation and recognition camera The angle of visual field more than monitoring camera the angle of visual field, then monitoring image be location image mesophase should monitor the one of viewing field of camera angle (e.g., the angle of visual field of monitoring camera is 10 ° × 10 ° to parts of images, and the angle of visual field of fixation and recognition camera is 20 ° × 20 °, then monitor Image is mapped in the image of location the image of 10 ° × 10 ° of the center being location image), then know with location according to monitoring camera The relation of the angle of visual field of other camera, can map agricultural alert image coordinate in the image coordinate system of described monitoring image In the image coordinate system of location image, obtain agricultural alert image coordinate in the image coordinate system of location image, this figure As coordinate is designated as (x ', y ').
Assume that the quantity positioning the station location marker guide pile photographed in image is n (n >=2), identify in the image of location Station location marker on station location marker guide pile, and identify in the station location marker that described station location marker obtains station location marker guide pile Heart position coordinates in the coordinate system of farmland is respectively (x1,y1)、(x2,y2)、……、(xn,yn), and determine described station location marker In the image of guide pile, centre of form image coordinate in the image coordinate system of location image is respectively (x1′,y1′)、(x2′, y2′)、……、(xn′,yn′).Wherein, in image, the centre of form refers to the center of image.
Assuming that the transfer matrix being transformed into farmland coordinate system from image coordinate system is T, transfer matrix is the matrix of 2 × 2, with Time the image coordinate of described station location marker and position coordinates be expressed as the form of matrix, respectively A and B, then A and B divides It is not expressed as follows:
A = x 1 ′ y 1 ′ x 2 ′ y 2 ′ M M x n ′ y n ′ B = x 1 y 1 x 2 y 2 M M x n y n
Matrix A and matrix B meet following relation:
A·T2×2=B
According to above-mentioned matrix A and the relation of matrix B, obtain transfer matrix T by up-to-date square law as follows:
T2×2=(AT·A)-1·AT·B
According to agricultural alert image coordinate (x ', y ') described transfer matrix T in image coordinate system, determine agricultural alert Position coordinates in the coordinate system of farmland is:
[x y]=T [x ' y ']
Wherein, (x y) is agricultural alert position coordinates in the coordinate system of farmland.
The location comparison of the agriculture alert determined by said method is accurate, can improve extensive agricultural production further In monitoring efficiency.
Note, above are only preferred embodiment of the present utility model and institute's application technology principle.Those skilled in the art's meeting Understanding, this utility model is not limited to specific embodiment described here, can carry out various bright for a person skilled in the art Aobvious change, readjust and substitute without departing from protection domain of the present utility model.Therefore, although pass through above example This utility model is described in further detail, but this utility model is not limited only to above example, without departing from In the case of this utility model design, it is also possible to include other Equivalent embodiments more, and scope of the present utility model is by appended Right determine.

Claims (7)

1. a farmland monitoring system, it is characterised in that described system includes unmanned plane and monitor terminal, described unmanned plane and institute State monitor terminal wireless connections;
Wherein, the station location marker guide pile identification agrotype that described unmanned plane is arranged in farmland for basis, and according to institute State agrotype the agriculture alert in farmland is monitored, the agriculture alert in the farmland monitored is sent to described monitoring eventually End;
Described monitor terminal sends the agriculture alert in the farmland come for receiving described unmanned plane, and notifies management personnel.
System the most according to claim 1, it is characterised in that described unmanned plane includes fixation and recognition camera, monitoring camera With embedded LOAD FOR machine;
Wherein, described fixation and recognition camera and described monitoring camera are coaxially fixedly mounted on the unmanned aerial vehicle platform of described unmanned plane On, and be connected with embedded LOAD FOR machine respectively, described embedded LOAD FOR machine and described monitor terminal wireless connections;
The station location marker guide pile that described fixation and recognition camera is arranged in farmland for shooting, and the location image that will photograph Transmission is to described embedded LOAD FOR machine;
Described monitoring camera is for shooting the monitoring image in farmland, and the monitoring image transmitting extremely described embedded load that will photograph Lotus computer, monitors the agriculture alert in farmland;
Described embedded LOAD FOR machine is used for receiving described location image and described monitoring image, according to described location image and Described monitoring image, identifies the agriculture alert in described monitoring image, and it is alert to go out described agricultural according to the framing of described location The position coordinates of feelings, and the position coordinates of described monitoring image and described agricultural alert is sent to described monitor terminal.
System the most according to claim 2, it is characterised in that described embedded LOAD FOR machine includes field programmable gate Array FPGA, digital signal processor DSP and signal generator;
Wherein, described FPGA with DSP is connected, and DSP is connected with signal generator, signal generator and the wireless company of described monitor terminal Connect;
FPGA is used for receiving described location image and described monitoring image, and obtains described location image and described monitoring image The data of described image are transferred to DSP by data;
The data of described location image and described monitoring image are analyzed by DSP, and the agriculture alert and the agricultural that obtain farmland are alert The position coordinates of feelings;
Described signal generator is for sending the position coordinates of the agriculture alert in described farmland and described agricultural alert to described Monitor terminal.
System the most according to claim 2, it is characterised in that when described unmanned plane is in the range of default cruising altitude, In the monitoring visual field of described fixation and recognition camera, the quantity of station location marker guide pile is at least two, and described station location marker is fixed The spacing of position stake meets following condition:
D ≤ H min · a r c t a n θ min 2 · c o s σ
Wherein, D is the spacing of described station location marker guide pile, HminFor the minimum cruise height in described default cruising altitude scope Degree, θminFor the angle of visual field minima of fixation and recognition camera in unmanned plane, σ is degree of stability during unmanned plane work.
5. according to the arbitrary described system of claim 1-4, it is characterised in that described station location marker guide pile includes that position is marked Knowing, described station location marker includes agrotype and the letter of described station location marker guide pile position coordinates in the coordinate system of farmland Breath.
System the most according to claim 5, it is characterised in that described station location marker is the Quick Response Code mark of High redundancy.
7. according to the arbitrary described system of claim 1-4, it is characterised in that the agriculture alert in described farmland include following at least A kind of: growth of cereal crop seedlings alert, growing way alert and pest and disease damage alert.
CN201620502517.5U 2016-05-27 2016-05-27 Farmland monitoring system Withdrawn - After Issue CN205861560U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201620502517.5U CN205861560U (en) 2016-05-27 2016-05-27 Farmland monitoring system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201620502517.5U CN205861560U (en) 2016-05-27 2016-05-27 Farmland monitoring system

Publications (1)

Publication Number Publication Date
CN205861560U true CN205861560U (en) 2017-01-04

Family

ID=57638718

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201620502517.5U Withdrawn - After Issue CN205861560U (en) 2016-05-27 2016-05-27 Farmland monitoring system

Country Status (1)

Country Link
CN (1) CN205861560U (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105842246A (en) * 2016-05-27 2016-08-10 中国农业科学院农业信息研究所 Farmland monitoring system and farmland monitoring method
CN108471520A (en) * 2018-03-28 2018-08-31 四川云淞源科技有限公司 Smart city agricultural cultivation method for monitoring state
CN108773490A (en) * 2018-04-26 2018-11-09 华南农业大学 The agricultural unmanned plane of solar energy and agricultural monitoring using remote sensing method
CN109001124A (en) * 2018-07-03 2018-12-14 中能能控(北京)科技有限公司 A kind of remote sensing monitoring device, system and method based on unmanned plane
CN110987183A (en) * 2019-12-27 2020-04-10 广州极飞科技有限公司 Multispectral imaging system and method

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105842246A (en) * 2016-05-27 2016-08-10 中国农业科学院农业信息研究所 Farmland monitoring system and farmland monitoring method
CN105842246B (en) * 2016-05-27 2019-01-22 中国农业科学院农业信息研究所 The method that farmland monitors system and monitors farmland
CN108471520A (en) * 2018-03-28 2018-08-31 四川云淞源科技有限公司 Smart city agricultural cultivation method for monitoring state
CN108773490A (en) * 2018-04-26 2018-11-09 华南农业大学 The agricultural unmanned plane of solar energy and agricultural monitoring using remote sensing method
CN108773490B (en) * 2018-04-26 2021-02-19 华南农业大学 Solar agricultural unmanned aerial vehicle and agricultural condition remote sensing monitoring method
CN109001124A (en) * 2018-07-03 2018-12-14 中能能控(北京)科技有限公司 A kind of remote sensing monitoring device, system and method based on unmanned plane
CN110987183A (en) * 2019-12-27 2020-04-10 广州极飞科技有限公司 Multispectral imaging system and method

Similar Documents

Publication Publication Date Title
CN105842246B (en) The method that farmland monitors system and monitors farmland
CN205861560U (en) Farmland monitoring system
CN104881865B (en) Forest pest and disease monitoring method for early warning and its system based on unmanned plane graphical analysis
Kitpo et al. Early rice disease detection and position mapping system using drone and IoT architecture
TWI708546B (en) Liquid spraying method of drone system and artificial intelligence image processing technology
CN109379564A (en) A kind of gas pipeline unmanned plane inspection device and method for inspecting
CN106379536A (en) Natural gas pipeline tour-inspection system based on drone
CN104899255A (en) Image database establishing method suitable for training deep convolution neural network
CN109032174B (en) Unmanned aerial vehicle operation route planning method and operation execution method
CN113610040B (en) Paddy field weed density real-time statistical method based on improved BiSeNetV2 segmentation network
CN112166911B (en) Rapid accurate pest and disease damage detection pesticide application system and method
Xu et al. Classification method of cultivated land based on UAV visible light remote sensing
CN112325883A (en) Indoor positioning method for mobile robot with WiFi and visual multi-source integration
CN107135541A (en) UWB indoor localization method based on OPTICS Density Clusterings and BP neural network
CN106949880A (en) The method that unmanned plane image local degree of overlapping in area's crosses high disposal is surveyed in height above sea level big rise and fall
Thalluri et al. Drone technology enabled leaf disease detection and analysis system for agriculture applications
CN107244423A (en) A kind of landing platform and its recognition methods
Farooq et al. Lightweight deep learning model for weed detection for IoT devices
CN109324630A (en) A kind of unmanned plane pesticide spraying system and control method
CN112640870B (en) Plant protection unmanned aerial vehicle-based pest control system and method
CN115790610B (en) Unmanned aerial vehicle accurate positioning system and method
Hong et al. Adaptive target spray system based on machine vision for plant protection UAV
CN114663818B (en) Airport operation core area monitoring and early warning system and method based on vision self-supervision learning
CN108280404A (en) A kind of recognition methods of UAV Intelligent line walking and system based on artificial intelligence
Li et al. Prediction of wheat gains with imagery from four-rotor UAV

Legal Events

Date Code Title Description
C14 Grant of patent or utility model
GR01 Patent grant
AV01 Patent right actively abandoned
AV01 Patent right actively abandoned
AV01 Patent right actively abandoned

Granted publication date: 20170104

Effective date of abandoning: 20190122

AV01 Patent right actively abandoned

Granted publication date: 20170104

Effective date of abandoning: 20190122