CN109270952A - A kind of agricultural land information acquisition system and method - Google Patents

A kind of agricultural land information acquisition system and method Download PDF

Info

Publication number
CN109270952A
CN109270952A CN201811091179.0A CN201811091179A CN109270952A CN 109270952 A CN109270952 A CN 109270952A CN 201811091179 A CN201811091179 A CN 201811091179A CN 109270952 A CN109270952 A CN 109270952A
Authority
CN
China
Prior art keywords
image
farmland
course line
agricultural land
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.)
Pending
Application number
CN201811091179.0A
Other languages
Chinese (zh)
Inventor
温思强
邓灿强
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.)
Qingyuan Fei Chong Feng Technology Co Ltd
Original Assignee
Qingyuan Fei Chong Feng Technology Co Ltd
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 Qingyuan Fei Chong Feng Technology Co Ltd filed Critical Qingyuan Fei Chong Feng Technology Co Ltd
Priority to CN201811091179.0A priority Critical patent/CN109270952A/en
Publication of CN109270952A publication Critical patent/CN109270952A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/10Simultaneous control of position or course in three dimensions
    • G05D1/101Simultaneous control of position or course in three dimensions specially adapted for aircraft
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/10Terrestrial scenes
    • G06V20/188Vegetation

Abstract

The invention discloses a kind of agricultural land informations to obtain system, including unmanned plane, wireless transport module, earth station and core computer;The unmanned plane, satellite receiver send course line by wireless transport module, are navigated by water according to course line and start Airborne Camera and shot, and the farmland image that Airborne Camera is shot is back to earth station by wireless transport module;The wireless transport module completes the communication of unmanned plane and earth station;The earth station sends course line to unmanned plane by radio transmitting device, receives farmland image and store and storage information is converted to digital signal being sent to core computer according to the Identity Plans such as farmland area and shape course line;The core computer receives and carries out analysis identification by computer vision module after digital signal, and extraction agricultural land information is simultaneously saved.The present invention provides a kind of more efficient, easier, the higher design of system for farmland of accuracy rate of operation.

Description

A kind of agricultural land information acquisition system and method
Technical field
The present invention relates to agricultural production detection fields more particularly to a kind of agricultural land information to obtain system and method.
Background technique
Agricultural land information is grasped in agricultural production has great significance to the follow-up management of agricultural production, and current agricultural is raw In production, agricultural land information situation, this information collection mode are often collected by the way of manual measurement in order to grasp agricultural land information Heavy workload, low efficiency, the information collecting method of this kind of manual measurement can not gradually adapt to current agricultural production management. Based on this, had already appeared field information acquisition method that is a kind of artificial and combining automatically at present, by earlier artificial Acquisition obtains necessary data, is accurately adjusted by testing repeatedly, plans advertised route, shoots agricultural land information by unmanned plane Situation determines agricultural land information situation in the feature different according to the different types of crop color of different times.This information collection Although the traditional artificial collecting efficiency of method comparison wants high, it is tested repeatedly determines that the process in course line is still complicated cumbersome, Manpower deduction cannot be reduced well, improve information collection efficiency.Moreover, distinguishing the different types of work of different times by color Object, accuracy rate is not also high, cannot fully meet the requirement of current field information acquisition.In this regard, people need one kind more efficient, Operate easier, the higher design of system for farmland of accuracy rate and method.
Summary of the invention
The present invention provides a kind of agricultural land informations to obtain system and method, it is intended to solve current field information acquisition method not Manpower deduction can be reduced well, improved information collection efficiency, and the problem that information collection accuracy rate is not high, provided a kind of effect Rate is higher, operates easier, the higher design of system for farmland of accuracy rate and method.
To achieve the above object, the present invention provides a kind of agricultural land informations to obtain system, including unmanned plane, is wirelessly transferred mould Block, earth station and core computer;
The unmanned plane, satellite receiver send course line by wireless transport module, are navigated by water and started according to course line Airborne Camera is shot, and the farmland image that Airborne Camera is shot is back to earth station by wireless transport module;
The wireless transport module receives the farmland image that unmanned plane is sent and is forwarded to earth station, and satellite receiver is sent Course line be forwarded to unmanned plane;
The earth station sends course line by radio transmitting device according to the Identity Plans such as farmland area and shape course line To unmanned plane, receives farmland image and store and storage information is converted to digital signal being sent to core computer;
The core computer receives and carries out analysis identification by computer vision module after digital signal, extraction farmland Information is simultaneously saved.
Compared with prior art, a kind of agricultural land information disclosed by the invention obtains system, carries out farmland figure by unmanned plane As acquisition, unmanned plane is communicated with earth station by wireless transport module, and the course line of unmanned plane is also by wireless transport module by ground Face station is sent, so earth station can adjust course line according to the farmland image that unmanned plane returns in real time, without at the very start Repeated measurement calculates optimal course line.Core computer is sent to after the image of ground station reception farmland, core computer is logical It crosses computer vision module and carries out analysis identification, so-called computer vision module carries out analysis and is identified by HSI model Color space analysis image is respectively handled tone H, saturation degree S and brightness I component, and it is right under HSI color space to obtain The image of I component gray processing is used for using HIS model, so its information analysis is not directly affected by color of image, into The accuracy rate of the image recognition of the raising of one step.So the present invention solves current field information acquisition method cannot be good Reduce manpower deduction, improve information collection efficiency, and the problem that information collection accuracy rate is not high, provide it is a kind of more efficient, Operate easier, the higher design of system for farmland of accuracy rate.
To achieve the above object, the present invention provides a kind of agricultural land information acquisition methods, comprising the following steps:
S1, earth station send course line extremely according to the Identity Plans such as farmland area and shape course line, by radio transmitting device Unmanned plane;
S2, unmanned plane navigate by water according to course line and start Airborne Camera and shot, the farmland image that Airborne Camera is shot Earth station is back to by wireless transport module;
S3, ground station reception farmland image store and storage information is converted to digital signal being sent to core calculations Machine;
S4, core computer receive and carry out analysis identification by vision module after digital signal, and extraction agricultural land information is gone forward side by side Row saves.
Compared with prior art, a kind of agricultural land information acquisition methods disclosed by the invention carry out farmland figure by unmanned plane As acquisition, unmanned plane is communicated with earth station by wireless transport module, and the course line of unmanned plane is also by wireless transport module by ground Face station is sent, so earth station can adjust course line according to the farmland image that unmanned plane returns in real time, without at the very start Repeated measurement calculates optimal course line.Core computer is sent to after the image of ground station reception farmland, core computer is logical It crosses computer vision module and carries out analysis identification, so-called computer vision module carries out analysis and is identified by HSI model Color space analysis image is respectively handled tone H, saturation degree S and brightness I component, and it is right under HSI color space to obtain The image of I component gray processing is used for using HIS model, so its information analysis is not directly affected by color of image, into The accuracy rate of the image recognition of the raising of one step.So the present invention solves current field information acquisition method cannot be good Reduce manpower deduction, improve information collection efficiency, and the problem that information collection accuracy rate is not high, provide it is a kind of more efficient, Operate easier, the higher field information acquisition method of accuracy rate.
Detailed description of the invention
Fig. 1 is the system block diagram that a kind of agricultural land information of the present invention obtains system;
Fig. 2 is a kind of flow chart 1 of agricultural land information acquisition methods of the present invention;
Fig. 3 is a kind of flow chart 2 of agricultural land information acquisition methods of the present invention.
Specific embodiment
As shown in Figure 1, a kind of agricultural land information of the present invention obtains system, including unmanned plane, wireless transport module, ground It stands and core computer;The unmanned plane, satellite receiver send course line by wireless transport module, are navigated by water according to course line And start Airborne Camera and shot, the farmland image that Airborne Camera is shot is back to earth station by wireless transport module; The wireless transport module receives the farmland image that unmanned plane is sent and is forwarded to earth station, and the course line that satellite receiver is sent turns It is sent to unmanned plane;The earth station is sent by radio transmitting device and is navigated according to the Identity Plans such as farmland area and shape course line Line receives farmland image and store and storage information is converted to digital signal being sent to core computer to unmanned plane;Institute It states core computer, receives and analysis identification is carried out by computer vision module after digital signal, extraction agricultural land information simultaneously carries out It saves.
Compared with prior art, a kind of agricultural land information disclosed by the invention obtains system, carries out farmland figure by unmanned plane As acquisition, unmanned plane is communicated with earth station by wireless transport module, and the course line of unmanned plane is also by wireless transport module by ground Face station is sent, so earth station can adjust course line according to the farmland image that unmanned plane returns in real time, without at the very start Repeated measurement calculates optimal course line.Core computer is sent to after the image of ground station reception farmland, core computer is logical It crosses computer vision module and carries out analysis identification, so-called computer vision module carries out analysis and is identified by HSI model Color space analysis image is respectively handled tone H, saturation degree S and brightness I component, and it is right under HSI color space to obtain The image of I component gray processing is used for using HIS model, so its information analysis is not directly affected by color of image, into The accuracy rate of the image recognition of the raising of one step.So the present invention solves current field information acquisition method cannot be good Reduce manpower deduction, improve information collection efficiency, and the problem that information collection accuracy rate is not high, provide it is a kind of more efficient, Operate easier, the higher design of system for farmland of accuracy rate.
As shown in Figure 1, the unmanned plane includes unmanned aerial vehicle platform and Airborne Camera;The unmanned aerial vehicle platform receives ground It stands and course line is sent by wireless transport module, navigated by water according to course line;The Airborne Camera carries out shooting to farmland and will clap The farmland image taken the photograph is back to earth station by wireless transport module.Simultaneously realize that nobody flies in unmanned aerial vehicle platform load-receipt course line Machine, Airborne Camera shooting farmland image are returned, and unmanned plane is by being respectively set the information of unmanned aerial vehicle platform and Airborne Camera Transmission channel reduces communication pressure, and unmanned plane is allowed to receive course line under sail, mentions for change unmanned plane course line in real time Technical support is supplied.
As shown in Figure 1, the earth station includes units of ground station and image acquisition units;The units of ground station, according to The Identity Plans such as farmland area and shape course line sends course line to unmanned plane by radio transmitting device;Described image acquisition is single Member receives farmland image and store and storage information is converted to digital signal being sent to core computer.Earth station's cooperation Unmanned plane is equally provided with units of ground station and image acquisition units, and units of ground station provides route information, image for unmanned plane Acquisition unit receives the farmland image of Airborne Camera transmission, and ground surface platform is by being respectively set ground platform and Image Acquisition list The information channel of member, reduces communication pressure, unmanned plane is allowed to receive course line under sail, for change unmanned plane boat in real time Line provides technical support.
As shown in Figure 1, the core computer includes computer vision module, the computer vision module is to receiving Digital signal carry out analysis identification, extract agricultural land information and simultaneously saved.Shown computer vision module carries out analysis identification It is the color space analysis image by HSI model, tone H, saturation degree S and brightness I component is handled respectively, obtained To the image of I component gray processing under HSI color space, it is used for using HIS model, so its information analysis is not by image face Color directly affects, the accuracy rate of the image recognition further improved.
As shown in Figure 1, the core computer further includes image smoothing module, described image Leveling Block is to receiving Digital signal image information carries out smoothing denoising processing.Smoothing denoising processing is carried out to digital signal pattern information and ensures that image is known Other effect.
As shown in Fig. 2, the present invention provides a kind of agricultural land information acquisition methods, comprising the following steps: S1, earth station according to The Identity Plans such as farmland area and shape course line sends course line to unmanned plane by radio transmitting device;S2, unmanned plane is according to boat Line navigates by water and starts Airborne Camera and shot, and is back to ground by wireless transport module for the farmland image that Airborne Camera is shot Face station;S3, ground station reception farmland image store and storage information is converted to digital signal being sent to core computer; S4, core computer receive and carry out analysis identification by vision module after digital signal, and extraction agricultural land information is simultaneously saved.
Compared with prior art, a kind of agricultural land information acquisition methods disclosed by the invention carry out farmland figure by unmanned plane As acquisition, unmanned plane is communicated with earth station by wireless transport module, and the course line of unmanned plane is also by wireless transport module by ground Face station is sent, so earth station can adjust course line according to the farmland image that unmanned plane returns in real time, without at the very start Repeated measurement calculates optimal course line.Core computer is sent to after the image of ground station reception farmland, core computer is logical It crosses computer vision module and carries out analysis identification, so-called computer vision module carries out analysis and is identified by HSI model Color space analysis image is respectively handled tone H, saturation degree S and brightness I component, and it is right under HSI color space to obtain The image of I component gray processing is used for using HIS model, so its information analysis is not directly affected by color of image, into The accuracy rate of the image recognition of the raising of one step.So the present invention solves current field information acquisition method cannot be good Reduce manpower deduction, improve information collection efficiency, and the problem that information collection accuracy rate is not high, provide it is a kind of more efficient, Operate easier, the higher field information acquisition method of accuracy rate.
As shown in Fig. 2, the step S4 is the following steps are included: S41, after core computer receives farmland image digital signal The color space analysis image for selecting HSI model, respectively handles tone H, saturation degree S and brightness I component, obtains To the image of I component gray processing under HSI color space;I component effect picture and grayscale image are done maximum between-cluster variance by S42 respectively Binaryzation is carried out after analysis again, by analysis histogram obtain max-thresholds T1, T2 and T3, by Threshold segmentation obtain weeds, The crops of different times and the image-region of working line;S43 counts the pixel number within the scope of each image-region, passes through mark Determine the relationship between pixel equivalent and shooting distance, the real area of each image-region can be calculated.Pass through HSI model Color space analysis image, tone H, saturation degree S and brightness I component are handled respectively, obtained under HSI color space To the image of I component gray processing, it is used for using HIS model, so its information analysis is not directly affected by color of image, The accuracy rate of the image recognition further improved.And by the way that I component effect picture and grayscale image are done side between maximum kind respectively Difference analysis is further increased the accuracy rate of image segmentation by two kinds of image analyses of difference, solves current field information acquisition side Method cannot reduce manpower deduction well, improve information collection efficiency, and the problem that information collection accuracy rate is not high, provide one Kind is more efficient, operates easier, the higher field information acquisition method of accuracy rate.
As shown in Fig. 2, the step S4 further includes step S40, the step S40, core computer receives farmland image Digital signal simultaneously carries out smoothing denoising processing.The effect that smoothing denoising processing ensures image recognition is carried out to digital signal pattern information Fruit.
As shown in figure 3, a kind of agricultural land information acquisition methods described in the invention, further include step S5, and the step S5, figure Region area as obtaining crop, weeds and working line after analysis calculates relative error compared with the actual value of manual measurement, The accuracy rate of information is obtained to evaluation system.The error for comparing manual measurement and unmanned plane measurement, judges agriculture of the present invention Field Information Acquisition System obtains the accuracy rate of information, to screen qualified information data, error detection is avoided to make to farmland Information judgement inaccuracy, influences subsequent production management.
As shown in figure 3, a kind of agricultural land information acquisition methods described in the invention, further include step S6, the step S6 will The accuracy rate of system acquisition information is compared with threshold value, is surveyed again behind return step S1 adjustment course line if lower than threshold value Amount.The agricultural land information obtains the accuracy rate of system acquisition information according to the present invention, judges the current test status of the system, such as Test status is bad, then needs to adjust unmanned plane course line, HIS model parameter, image segmentation threshold etc. parameter, to improve farmland The accuracy rate of Information Acquisition System acquisition information.
The above is a preferred embodiment of the present invention, it is noted that for those skilled in the art For, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also considered as Protection scope of the present invention.

Claims (10)

1. a kind of agricultural land information obtains system, which is characterized in that including unmanned plane, wireless transport module, earth station and core meter Calculation machine;
The unmanned plane, satellite receiver send course line by wireless transport module, are navigated by water and started airborne according to course line Camera is shot, and the farmland image that Airborne Camera is shot is back to earth station by wireless transport module;
The wireless transport module receives the farmland image that unmanned plane is sent and is forwarded to earth station, the boat that satellite receiver is sent Line is forwarded to unmanned plane;
The earth station sends course line to nothing by radio transmitting device according to the Identity Plans such as farmland area and shape course line It is man-machine, it receives farmland image and store and storage information is converted to digital signal being sent to core computer;
The core computer receives and carries out analysis identification by computer vision module after digital signal, extraction agricultural land information And it is saved.
2. a kind of agricultural land information according to claim 1 obtains system, which is characterized in that the unmanned plane includes unmanned plane Platform and Airborne Camera;
The unmanned aerial vehicle platform, satellite receiver send course line by wireless transport module, are navigated by water according to course line;The machine Camera is carried, farmland shoot and the farmland image of shooting is back to earth station by wireless transport module.
3. a kind of agricultural land information according to claim 1 obtains system, which is characterized in that the earth station includes earth station Unit and image acquisition units;
The units of ground station sends course line by radio transmitting device according to the Identity Plans such as farmland area and shape course line To unmanned plane;
Described image acquisition unit receives farmland image and store and storage information is converted to digital signal being sent to core Computer.
4. a kind of agricultural land information according to claim 1 obtains system, which is characterized in that the core computer includes meter Calculation machine vision module, the computer vision module carry out analysis identification to the digital signal received, extract agricultural land information simultaneously It is saved.
5. a kind of agricultural land information according to claim 4 obtains system, which is characterized in that the core computer further includes Image smoothing module, described image Leveling Block carry out smoothing denoising processing to the digital signal image information received.
6. a kind of agricultural land information acquisition methods, which comprises the following steps:
S1, earth station according to the Identity Plans such as farmland area and shape course line, by radio transmitting device send course line to nobody Machine;
S2, unmanned plane navigate by water according to course line and start Airborne Camera and shot, and the farmland image that Airborne Camera is shot is passed through Wireless transport module is back to earth station;
S3, ground station reception farmland image store and storage information is converted to digital signal being sent to core computer;
S4, core computer receive and carry out analysis identification by vision module after digital signal, and extraction agricultural land information is simultaneously protected It deposits.
7. a kind of agricultural land information acquisition methods according to claim 1, which is characterized in that the step S4 includes following step It is rapid:
S41, core computer receives the color space analysis image of selection HSI model after the image digital signal of farmland, right respectively Tone H, saturation degree S and brightness I component are handled, and are obtained under HSI color space to the image of I component gray processing;
S42 carries out binaryzation after I component effect picture and grayscale image are done maximum between-cluster variance analysis respectively again, straight by analyzing Side's figure obtains max-thresholds T1, T2 and T3, obtains the image of weeds, the crops of different times and working line by Threshold segmentation Region;
S43 counts the pixel number within the scope of each image-region, by calibration pixel equivalent and shooting distance between relationship, The real area of each image-region can be calculated.
8. a kind of agricultural land information acquisition methods according to claim 7, which is characterized in that the step S4 further includes step S40, the step S40, core computer receive farmland image digital signal and carry out smoothing denoising processing.
9. according to a kind of described in any item agricultural land information acquisition methods of claim 6-8, which is characterized in that further include step S5, the step S5 obtain the region area of crop, weeds and working line, the actual value ratio with manual measurement after image analysis Compared with calculating relative error obtains the accuracy rate of information to evaluation system.
10. a kind of agricultural land information acquisition methods according to claim 9, which is characterized in that further include step S6, the step The accuracy rate of system acquisition information is compared by rapid S6 with threshold value, if lower than threshold value behind return step S1 adjustment course line It re-measures.
CN201811091179.0A 2018-09-19 2018-09-19 A kind of agricultural land information acquisition system and method Pending CN109270952A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811091179.0A CN109270952A (en) 2018-09-19 2018-09-19 A kind of agricultural land information acquisition system and method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811091179.0A CN109270952A (en) 2018-09-19 2018-09-19 A kind of agricultural land information acquisition system and method

Publications (1)

Publication Number Publication Date
CN109270952A true CN109270952A (en) 2019-01-25

Family

ID=65197983

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811091179.0A Pending CN109270952A (en) 2018-09-19 2018-09-19 A kind of agricultural land information acquisition system and method

Country Status (1)

Country Link
CN (1) CN109270952A (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110119869A (en) * 2019-03-18 2019-08-13 中国农业大学 A kind of movable type farmland quality and/or production capacity research and appraisal system and method for ploughing
CN111506105A (en) * 2020-04-08 2020-08-07 安徽舒州农业科技有限责任公司 Agricultural unmanned aerial vehicle control device and sowing control method
CN111556157A (en) * 2020-05-06 2020-08-18 中南民族大学 Crop distribution monitoring method, equipment, storage medium and device
CN112233169A (en) * 2020-10-27 2021-01-15 江苏科博空间信息科技有限公司 Based on unmanned aerial vehicle area of offending land calculation system
CN114910051A (en) * 2021-06-17 2022-08-16 云展传播(武汉)有限公司 Aerial photography measurement system and measurement method
CN114935929A (en) * 2022-04-08 2022-08-23 广州工程技术职业学院 Agricultural machine informatization monitoring and management system

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20080098850A (en) * 2007-05-07 2008-11-12 삼성테크윈 주식회사 Method for location estimation of vehicle number plate and the device for location estimation of vehicle number plate
CN102523953A (en) * 2011-12-07 2012-07-04 北京农业信息技术研究中心 Crop information fusion method and disease monitoring system
CN102759528A (en) * 2012-07-09 2012-10-31 陕西科技大学 Method for detecting diseases of crop leaves
CN102930249A (en) * 2012-10-23 2013-02-13 四川农业大学 Method for identifying and counting farmland pests based on colors and models
CN104751199A (en) * 2013-12-30 2015-07-01 华中科技大学 Automatic detection method for cotton crack open stage
CN105741328A (en) * 2016-01-22 2016-07-06 西安电子科技大学 Shot image quality evaluation method based on visual perception
CN205582242U (en) * 2016-03-17 2016-09-14 天津中翔腾航科技股份有限公司 Unmanned aerial vehicle greenhouse crop growth status monitoring device
CN106919178A (en) * 2017-04-14 2017-07-04 南京信息工程大学 A kind of plant protection unmanned plane autonomous flight Path Optimize Installation and its optimization method
CN106951836A (en) * 2017-03-05 2017-07-14 北京工业大学 Crop cover degree extracting method based on priori threshold optimization convolutional neural networks
CN106951824A (en) * 2017-02-06 2017-07-14 中国农业大学 The method and system of plant leaf color are extracted based on unmanned aerial vehicle remote sensing images
CN107016699A (en) * 2017-03-14 2017-08-04 上海大学 A kind of color coding approach of the variegated particle of automatic identification

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20080098850A (en) * 2007-05-07 2008-11-12 삼성테크윈 주식회사 Method for location estimation of vehicle number plate and the device for location estimation of vehicle number plate
CN102523953A (en) * 2011-12-07 2012-07-04 北京农业信息技术研究中心 Crop information fusion method and disease monitoring system
CN102759528A (en) * 2012-07-09 2012-10-31 陕西科技大学 Method for detecting diseases of crop leaves
CN102930249A (en) * 2012-10-23 2013-02-13 四川农业大学 Method for identifying and counting farmland pests based on colors and models
CN104751199A (en) * 2013-12-30 2015-07-01 华中科技大学 Automatic detection method for cotton crack open stage
CN105741328A (en) * 2016-01-22 2016-07-06 西安电子科技大学 Shot image quality evaluation method based on visual perception
CN205582242U (en) * 2016-03-17 2016-09-14 天津中翔腾航科技股份有限公司 Unmanned aerial vehicle greenhouse crop growth status monitoring device
CN106951824A (en) * 2017-02-06 2017-07-14 中国农业大学 The method and system of plant leaf color are extracted based on unmanned aerial vehicle remote sensing images
CN106951836A (en) * 2017-03-05 2017-07-14 北京工业大学 Crop cover degree extracting method based on priori threshold optimization convolutional neural networks
CN107016699A (en) * 2017-03-14 2017-08-04 上海大学 A kind of color coding approach of the variegated particle of automatic identification
CN106919178A (en) * 2017-04-14 2017-07-04 南京信息工程大学 A kind of plant protection unmanned plane autonomous flight Path Optimize Installation and its optimization method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
颜秉忠: "机器视觉技术在玉米苗期杂草识别中的应用", 《农机化研究》 *
骆光明,等: "《数据链:信息系统连接武器系统的捷径》", 30 September 2010 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110119869A (en) * 2019-03-18 2019-08-13 中国农业大学 A kind of movable type farmland quality and/or production capacity research and appraisal system and method for ploughing
CN111506105A (en) * 2020-04-08 2020-08-07 安徽舒州农业科技有限责任公司 Agricultural unmanned aerial vehicle control device and sowing control method
CN111556157A (en) * 2020-05-06 2020-08-18 中南民族大学 Crop distribution monitoring method, equipment, storage medium and device
CN112233169A (en) * 2020-10-27 2021-01-15 江苏科博空间信息科技有限公司 Based on unmanned aerial vehicle area of offending land calculation system
CN114910051A (en) * 2021-06-17 2022-08-16 云展传播(武汉)有限公司 Aerial photography measurement system and measurement method
CN114935929A (en) * 2022-04-08 2022-08-23 广州工程技术职业学院 Agricultural machine informatization monitoring and management system
CN114935929B (en) * 2022-04-08 2023-08-15 广州工程技术职业学院 Agricultural machinery informatization monitoring management system

Similar Documents

Publication Publication Date Title
CN109270952A (en) A kind of agricultural land information acquisition system and method
CN104282020B (en) A kind of vehicle speed detection method based on target trajectory
US8712144B2 (en) System and method for detecting crop rows in an agricultural field
CN102103663B (en) Ward visit service robot system and target searching method thereof
US8737720B2 (en) System and method for detecting and analyzing features in an agricultural field
CN105761245B (en) A kind of automatic tracking method and device of view-based access control model characteristic point
CN101512551A (en) A method and a system for measuring an animal's height
Shrestha et al. Automatic corn plant population measurement using machine vision
CN104732564B (en) A kind of Estimating Leaf Area In Maize dynamic nondestructive monitoring device and method
CN112418188A (en) Crop growth whole-course digital assessment method based on unmanned aerial vehicle vision
CN107091636B (en) A kind of method that unmanned plane measures tree and grass coverage and length
CN110073362A (en) System and method for lane markings detection
CN109141248A (en) Pig weight measuring method and system based on image
CN110688904A (en) Base station antenna parameter surveying method and device based on 5G unmanned aerial vehicle
CN108961330A (en) The long measuring method of pig body and system based on image
CN109032174B (en) Unmanned aerial vehicle operation route planning method and operation execution method
CN109211198A (en) A kind of intelligent Target detection and measuring system and method based on trinocular vision
US11935289B2 (en) Agricultural analysis robotic systems and methods thereof
CN107832655A (en) A kind of take photo by plane system and output of cotton estimating and measuring method based on unmanned plane imaging near the ground
CN108495259A (en) A kind of gradual indoor positioning server and localization method
CN103453882B (en) A kind of ceiling of clouds measuring system based on aircraft and ceiling of clouds measuring method
CN108845289B (en) Positioning method and system for shopping cart and shopping cart
CN116897668B (en) Electric-drive crop sowing and fertilizing control method and system
CN113393421A (en) Fruit evaluation method and device and inspection equipment
CN110414384B (en) Intelligent rice and wheat harvester leading line tracking method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20190125