CN105657261A - Unmanned aerial vehicle remote sensing image collection system and method based on Android device - Google Patents
Unmanned aerial vehicle remote sensing image collection system and method based on Android device Download PDFInfo
- Publication number
- CN105657261A CN105657261A CN201511030708.2A CN201511030708A CN105657261A CN 105657261 A CN105657261 A CN 105657261A CN 201511030708 A CN201511030708 A CN 201511030708A CN 105657261 A CN105657261 A CN 105657261A
- Authority
- CN
- China
- Prior art keywords
- android device
- aerial vehicle
- unmanned aerial
- android
- wireless communication
- 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
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/66—Remote control of cameras or camera parts, e.g. by remote control devices
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/617—Upgrading or updating of programs or applications for camera control
Abstract
The invention discloses an unmanned aerial vehicle remote sensing image collection system based on an Android device, which is characterized by comprising an unmanned aerial vehicle terminal, a ground terminal device and a wireless communication device placed in a field, wherein the Android device, an external image collection device, a GPS device and an integrated sensor are mounted on the unmanned aerial vehicle terminal, when at work, the external image collection device, the GPS device and the integrated sensor respectively transmit collected information to the ground terminal device through the wireless communication device, and a control instruction of the ground terminal device is transmitted by the wireless communication device to the Android device. According to the image collection system and method disclosed by the invention, the requirements on the professional skills of an operator are relatively low, the Android device is low in cost and is easy to replace, so that the development and use costs of the entire system are reduced.
Description
Technical field
The present invention relates to image acquisition field, particularly to a kind of unmanned aerial vehicle remote sensing image capturing system based on Android device and method.
Background technology
The agriculture mutual affection analysis of field-crop is one of important process of plant protection, and crop can be made predicting fast and accurately by pest and disease damage infection state, liquid manure stress state, plant lodging situation, growing way and yield by it. Particularly with fulminant disease insect pest, utilize computer technology can accurately identify the change that human eye is difficult to differentiate, the slight change such as the such as color of crop specific part, texture. Traditional agriculture mutual affection analysis is to select and delimit multiple sampling block in field, and utilization is manually entered field and disease etc. is screened, so that it is determined that be injured accordingly grade and degree. There is the problem that accuracy is low, workload is big, labor intensity is big in this method.
Current existing satellite remote sensing method is very extensive in the application that agriculture mutual affection is analysed. The resolution of image that satellite remote sensing obtains is less, and for U.S.'s Landsat satellite, every pixel resolution is 30mx30m, and namely one mu of soil indication range on image is less than a pixel. Being different from a large amount of plantations continuously of the country such as U.S., the farmland planting of China is relatively decentralized and long-term cropping disunity, and field average area is less so that agriculture feelings information is difficult to embody on remote sensing image; Additionally due to satellite has certain for the earth cycle, can only just carrying out image collection when satellite arrives overhead, farmland, real-time is poor and image is subject to the interference of cloud amount and steam. To sum up analyze and know, utilize the agriculture situation condition of previous satellite image and the identification of ground staff institute, mathematical model is utilized to be modeled, it is input in the model of foundation with following satellite image to obtain the agriculture situation condition in filming image moment, have the disadvantage in that (1) satellite remote-sensing image resolution is little, can only coarse analysis field substantially agriculture situation condition, little field or little dimensional analysis is then helpless; (2) satellite remote-sensing image poor real, it is necessary to just can carrying out image collection when satellite rings is around to field overhead, real-time is poor;(3) satellite remote-sensing image is subject to cloud cover and steam interference.
Carry out, currently with the low idle job unmanned plane carrying remote sensing equipment, the new trend that plant protection operation is plant protection, due to its do not limited by landform, the advantage of mobility strong etc., on agricultural plant protection, now had substantial amounts of application. It utilizes the unmanned plane loading the equipment such as photographic head, microcontroller, sensor group, GPS module, data storage device, mixed-media network modules mixed-media to constitute low latitude unmanned aerial vehicle remote sensing platform, target field is carried out image acquisition, the method has the disadvantage in that (1) is due to usual Small and micro-satellite load generally less (��5kg), cruising time shorter (��40min), and the equipment carried typically requires and is powered by unmanned plane power supply, and unmanned plane self adds many weight relatively, thus decreasing the cruising time of unmanned plane; (2) owing to different equipment has different communication interfaces, comparatively difficult in exploitation; (3) portable and substituting difference, if equipment breaks down, then needs the personnel with professional skill to keep in repair; (4) equipment cost and development cost are all higher.
Summary of the invention
It is an object of the invention to the shortcoming overcoming prior art with not enough, it is provided that a kind of unmanned aerial vehicle remote sensing image capturing system based on Android device.
Another object of the present invention is to provide a kind of unmanned aerial vehicle remote sensing image-pickup method based on Android device.
The purpose of the present invention is realized by following technical scheme:
A kind of unmanned aerial vehicle remote sensing image capturing system based on Android device, including unmanned plane end, ground surface end equipment and the wireless communication apparatus being placed on field, wherein unmanned plane end is equipped with Android device, external image collecting device, GPS device, integrated sensor, external image collecting device during operation, GPS device, the image preview frame that integrated sensor will gather respectively, gps coordinate residing for aircraft, environmental information is transferred to Android device, the information gathered is transmitted to ground surface end equipment by Android device by wireless communication apparatus, the control instruction of ground surface end equipment is by wireless communication apparatus transmission to Android device.
Described control instruction includes the exposal model setting image preview frame parameter, external image collecting device.
Described image preview frame parameter includes image resolution ratio, image compression rate.
Described wireless communication apparatus is wireless router or hotspot.
Described integrated sensor includes accelerometer, magnetic field sensor, illuminance transducer, gravity sensor, wherein the obliquity information of unmanned plane measured by accelerometer and magnetic field sensor, illuminance transducer is measured the intensity signal of local environment, gravity sensor and magnetic field sensor and is measured the elevation information residing for unmanned plane.
Described ground surface end equipment is the one in PC, PDA, panel computer.
Described Android device is connected with external image collecting device, GPS device, integrated sensor respectively by wired or wireless communication modes, outside image capture device, GPS device, integrated sensor are controlled and data exchange, and systemic-function are expanded by wired or wireless communication modes by Android device.
Described wireless communication mode is bluetooth communication.
Another object of the present invention is realized by following technical scheme:
A kind of unmanned aerial vehicle remote sensing image-pickup method based on Android device, comprises the step of following sequence:
S1, opening ground surface end device Host port, host port distributes the port numbers of ground surface end equipment automatically after opening;
S2, the Android device being mounted in unmanned plane end is opened, the IP address of input ground surface end equipment and port numbers, and be connected with ground surface end equipment by wireless communication apparatus;
S3, operation unmanned plane take off, during normal operation, the gps coordinate residing for the image preview frame of collection, aircraft, environmental information are transferred to Android device by external image collecting device, GPS device, integrated sensor respectively, the information gathered is transmitted to ground surface end equipment by Android device by wireless communication apparatus, and the control instruction of ground surface end equipment is by wireless communication apparatus transmission to Android device.
The present invention compared with prior art, has the advantage that and beneficial effect:
At present due to the development of mobile communication technology Yu embedded technology, constantly strengthen based on the smart machine function of Android, arithmetic speed constantly promotes, price constantly reduces, user is constantly popularized. Owing to it has the internal resource (sensor, wireless network module, GPS module etc.) of high integration and is prone to the platform (Android SDK) of exploitation, compared to the normal unmanned plane Image-capturing platform being made up of GPS, image capture device, data transmission module etc., have be prone to that exploitation, weight is low, the advantage of transplantability and substituting good, with low cost, failure rate is low. Therefore, exploitation is based on the unmanned plane image capturing system of Android, it is possible to obtains field crops image rapidly and carries out real-time Transmission, utilizing computer terminal program to acquired correct image, splicing and identification. The professional skill of operator is required relatively low by this kind of method, and based on Android can only equipment price cheap, readily replaceable, thus reducing the exploitation of whole system, use cost. Existing unmanned plane Image-capturing platform carries out image acquisition operation by carrying a large amount of separate devices such as digital camera, sensor, GPS etc. The unmanned aerial vehicle remote sensing image capturing system of Android platform can greatly reduce the development cost of system, maintenance cost and the professional technique requirement to operator. Owing to Android device volume is little, light weight, built-in power, it is possible to extending activity duration and the flying power of unmanned plane, reduce the battery request to unmanned plane, the cheap model plane that market is sold can carry out operation. Simultaneously as Android device cost is low, popularization degree is high, research cost is easy to spread.
Accompanying drawing explanation
Fig. 1 is the structured flowchart of a kind of unmanned aerial vehicle remote sensing image capturing system based on Android device of the present invention.
Fig. 2 is the flow chart of a kind of unmanned aerial vehicle remote sensing image-pickup method based on Android device of the present invention.
Fig. 3 is the surface chart of the Android device of system described in Fig. 1.
Fig. 4 is the main surface chart of the ground surface end equipment of system described in Fig. 1.
Detailed description of the invention
Below in conjunction with embodiment and accompanying drawing, the present invention is described in further detail, but embodiments of the present invention are not limited to this.
Such as Fig. 1, a kind of unmanned aerial vehicle remote sensing image capturing system based on Android device, including unmanned plane end, ground surface end equipment and the wireless communication apparatus being placed on field, wherein unmanned plane end is equipped with Android device, external image collecting device, GPS device, integrated sensor, external image collecting device during operation, GPS device, the image preview frame that integrated sensor will gather respectively, gps coordinate residing for aircraft, environmental information is transferred to Android device, the information gathered is transmitted to ground surface end equipment by Android device by wireless communication apparatus, the control instruction of ground surface end equipment is by wireless communication apparatus transmission to Android device.
Described control instruction includes the exposal model setting image preview frame parameter, external image collecting device.
Described image preview frame parameter includes image resolution ratio, image compression rate.
Described wireless communication apparatus is wireless router or hotspot.
Described integrated sensor includes accelerometer, magnetic field sensor, illuminance transducer, gravity sensor, wherein the obliquity information of unmanned plane measured by accelerometer and magnetic field sensor, illuminance transducer is measured the intensity signal of local environment, gravity sensor and magnetic field sensor and is measured the elevation information residing for unmanned plane.
Described ground surface end equipment is the one in PC, PDA, panel computer.
Described Android device is connected with external image collecting device, GPS device, integrated sensor respectively by wired or wireless communication modes, outside image capture device, GPS device, integrated sensor are controlled and data exchange, and systemic-function are expanded by wired or wireless communication modes by Android device.
Described wireless communication mode is bluetooth communication.
A kind of unmanned aerial vehicle remote sensing image capturing system based on Android device, adopts Java language programming at smart machine end, runs under Android platform; Adopt Labwindows/CVI platform to utilize C language to develop at ground PC end, run under windows platform. Utilizing wireless router or hotspot that field places during operation, the image preview frame and the built-in sensors real-time data transmissions such as GPS coordinate, aircraft inclination angle that obtain mobile phone camera to ground PC end and show. And external equipment (high-precision GPS equipment, external image collecting device, integrated sensor etc.) is controlled by the blue tooth interface that can pass through mobile phone and data exchange, such that it is able to easily system is carried out function expansion. By man-machine interaction mode, operator can set that preview frame and gather image parameter, such as resolution, image compression rate etc., it is possible to select different exposal models to control Android device and carry out image acquisition.
Mobile terminal and two platforms of PC end are belonged to due to system, the factors such as the opening of consideration system and popularization, select Android operation system and Windows operating system as development platform respectively, adopt java language and C language to program the exploitation of image capturing system.
Ground PC end can being utilized to control Android device based on the unmanned plane image capturing system of Android and gather image and the built-in sensor information of acquisition equipment, the function that this system realizes includes: 1) can utilize PC end software set Android device photographic head parameter; 2) by Wireless Communication Equipment, Android device photographic head current preview frame and internal sensor data are sent to ground PC end; 3) PC end software can be utilized to control Android device and to carry out image acquisition in different modalities.
Such as Fig. 3, the interface of Android device is specific as follows:
Label 1 is image display area: show current photographic head visual field;
Label 2 is host information: input ground PC end IP address and port numbers at this;
Label 3 is " connection main frame " button: clicking after inputting correct host information, Android end will be set up with host side and be connected;
Label 4 is " GPS-type type " button: be used for selecting gps data source (satellite or GPRS);
Label 5 is " GPS switch " button: after selecting correct GPS-type type, clicks on and can play the acquisition of opening/closing gps data;
Label 6 be " about " button: after click, show the information such as software development information, copyright information;
Label 7 is " exiting " button: after click, automatically disconnects and is connected with main frame and logs off.
Such as Fig. 4, the main interface of ground surface end equipment specifically includes that
(1) connected device list area: the current implementor name being connected with current hosts of display and IP address;
(2) message logging district: show the information returned by each Android end;
(3) menu bar: comprise output journal, opening and closing host port, the function such as photographic head parameter, various modes image acquisition is set;
(4) data field: include figure in real time and pass the information such as frame per second, all directions inclination angle, longitude and latitude, illumination;
(5) photographic head parameter panel: for setting the parameter that Android device photographic head is different, the parameter such as including resolution, focal modes, white balance;
(6) sensor panel: include the functions such as flight path curve, change of pitch angle curve, the setting of GPS border, collection point setting.
Such as Fig. 2, a kind of unmanned aerial vehicle remote sensing image-pickup method based on Android device, comprise the step of following sequence:
1) opening host port: click menu bar to open host port, host port understands automatic assignment of port numbers after successfully opening;
2) Android device is accessed the hotspot that ground PC end is identical. Open Android end software, the IP address of input main frame and port numbers, select suitable gps data source and open GPS, click the corresponding button and be connected with main frame foundation. After being successfully established connection, host side can show implementor name and the IP address of access device;
3) click menu bar " TogglePreview " item, obtain each sensing data from Android device and scheme in real time to pass;
4) click menu bar " SetCameraParameters " item, Android device photographic head parameter is configured;
5) click menu bar and select different screening-modes: wherein " ToggleFlashLight " item is for the flash lamp of opening and closing Android device. " AcquireSingleImage " item is used for gathering single image.
" AcquireMultifocusedImages " Xiang Ze is used for gathering multiple focussing image " AcquireSpecificNumberofImages " Xiang Ze for gathering to the image of determined number.
" AcquireImageWithInterval " item is for the image acquisition of given interval. and " StopAutomaticAcquisition " item is used for terminating ongoing automatic Collecting operation.
Above-described embodiment is the present invention preferably embodiment; but embodiments of the present invention are also not restricted to the described embodiments; the change made under other any spirit without departing from the present invention and principle, modification, replacement, combination, simplification; all should be the substitute mode of equivalence, be included within protection scope of the present invention.
Claims (9)
1. the unmanned aerial vehicle remote sensing image capturing system based on Android device, it is characterized in that: include unmanned plane end, ground surface end equipment and the wireless communication apparatus being placed on field, wherein unmanned plane end is equipped with Android device, external image collecting device, GPS device, integrated sensor, external image collecting device during operation, GPS device, the image preview frame that integrated sensor will gather respectively, gps coordinate residing for aircraft, environmental information is transferred to Android device, the information gathered is transmitted to ground surface end equipment by Android device by wireless communication apparatus, the control instruction of ground surface end equipment is by wireless communication apparatus transmission to Android device.
2. according to claim 1 based on the unmanned aerial vehicle remote sensing image capturing system of Android device, it is characterised in that: described control instruction includes the exposal model setting image preview frame parameter, external image collecting device.
3. according to claim 2 based on the unmanned aerial vehicle remote sensing image capturing system of Android device, it is characterised in that: described image preview frame parameter includes image resolution ratio, image compression rate.
4. according to claim 1 based on the unmanned aerial vehicle remote sensing image capturing system of Android device, it is characterised in that: described wireless communication apparatus is wireless router or hotspot.
5. according to claim 1 based on the unmanned aerial vehicle remote sensing image capturing system of Android device, it is characterized in that: described integrated sensor includes accelerometer, magnetic field sensor, illuminance transducer, gravity sensor, wherein the obliquity information of unmanned plane measured by accelerometer and magnetic field sensor, illuminance transducer is measured the intensity signal of local environment, gravity sensor and magnetic field sensor and is measured the elevation information residing for unmanned plane.
6. according to claim 1 based on the unmanned aerial vehicle remote sensing image capturing system of Android device, it is characterised in that: described ground surface end equipment is the one in PC, PDA, panel computer.
7. according to claim 1 based on the unmanned aerial vehicle remote sensing image capturing system of Android device, it is characterized in that: described Android device is connected with external image collecting device, GPS device, integrated sensor respectively by wired or wireless communication modes, outside image capture device, GPS device, integrated sensor are controlled and data exchange, and systemic-function are expanded by wired or wireless communication modes by Android device.
8. according to claim 7 based on the unmanned aerial vehicle remote sensing image capturing system of Android device, it is characterised in that: described wireless communication mode is bluetooth communication.
9., based on the unmanned aerial vehicle remote sensing image-pickup method based on Android device of the unmanned aerial vehicle remote sensing image capturing system based on Android device described in any one of claim 1 to 8, comprise the step of following sequence:
S1, opening ground surface end device Host port, host port distributes the port numbers of ground surface end equipment automatically after opening;
S2, the Android device being mounted in unmanned plane end is opened, the IP address of input ground surface end equipment and port numbers, and be connected with ground surface end equipment by wireless communication apparatus;
S3, operation unmanned plane take off, during normal operation, the gps coordinate residing for the image preview frame of collection, aircraft, environmental information are transferred to Android device by external image collecting device, GPS device, integrated sensor respectively, the information gathered is transmitted to ground surface end equipment by Android device by wireless communication apparatus, and the control instruction of ground surface end equipment is by wireless communication apparatus transmission to Android device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201511030708.2A CN105657261A (en) | 2015-12-30 | 2015-12-30 | Unmanned aerial vehicle remote sensing image collection system and method based on Android device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201511030708.2A CN105657261A (en) | 2015-12-30 | 2015-12-30 | Unmanned aerial vehicle remote sensing image collection system and method based on Android device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105657261A true CN105657261A (en) | 2016-06-08 |
Family
ID=56490255
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201511030708.2A Pending CN105657261A (en) | 2015-12-30 | 2015-12-30 | Unmanned aerial vehicle remote sensing image collection system and method based on Android device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105657261A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106227075A (en) * | 2016-09-27 | 2016-12-14 | 华南农业大学 | Unmanned plane aquaculture based on wireless sense network precisely feeds intake operating system and method |
| CN106382919A (en) * | 2016-09-09 | 2017-02-08 | 西北农林科技大学 | Agricultural trinocular remote-sensing multispectral camera |
| CN107371040A (en) * | 2017-08-28 | 2017-11-21 | 荆门程远电子科技有限公司 | A kind of unmanned plane image efficient process system |
| CN108416263A (en) * | 2018-01-29 | 2018-08-17 | 华南农业大学 | A kind of drone height measurement method of low cost suitable for the monitoring of agriculture feelings low-altitude remote sensing |
| CN108415326A (en) * | 2018-03-01 | 2018-08-17 | 四川智慧鹰航空科技有限公司 | A kind of miniature drone possessing realtime graphic control system |
| 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 |
| CN108881825A (en) * | 2018-06-14 | 2018-11-23 | 华南农业大学 | Rice weed monitoring unmanned system and its monitoring method based on Jetson TK1 |
| CN113327343A (en) * | 2019-01-09 | 2021-08-31 | 深圳市道通智能航空技术股份有限公司 | Flight log uploading method and device, mobile terminal and unmanned aerial vehicle |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101592955A (en) * | 2009-04-08 | 2009-12-02 | 孙卓 | A kind of full-automatic unmanned aerial vehicle control system |
| CN202818625U (en) * | 2012-07-13 | 2013-03-20 | 北京理工大学 | Wireless data transmission system for unmanned planes |
| CN104494837A (en) * | 2014-12-21 | 2015-04-08 | 邹耿彪 | Multifunctional unmanned aerial vehicle |
| CN104615145A (en) * | 2015-02-03 | 2015-05-13 | 深圳市华海技术有限公司 | UAV (unmanned aerial vehicle), and UAV control system and method |
| CN105007115A (en) * | 2015-07-24 | 2015-10-28 | 华南理工大学 | Unmanned helicopter relay data link system and control method thereof |
-
2015
- 2015-12-30 CN CN201511030708.2A patent/CN105657261A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101592955A (en) * | 2009-04-08 | 2009-12-02 | 孙卓 | A kind of full-automatic unmanned aerial vehicle control system |
| CN202818625U (en) * | 2012-07-13 | 2013-03-20 | 北京理工大学 | Wireless data transmission system for unmanned planes |
| CN104494837A (en) * | 2014-12-21 | 2015-04-08 | 邹耿彪 | Multifunctional unmanned aerial vehicle |
| CN104615145A (en) * | 2015-02-03 | 2015-05-13 | 深圳市华海技术有限公司 | UAV (unmanned aerial vehicle), and UAV control system and method |
| CN105007115A (en) * | 2015-07-24 | 2015-10-28 | 华南理工大学 | Unmanned helicopter relay data link system and control method thereof |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106382919A (en) * | 2016-09-09 | 2017-02-08 | 西北农林科技大学 | Agricultural trinocular remote-sensing multispectral camera |
| CN106227075A (en) * | 2016-09-27 | 2016-12-14 | 华南农业大学 | Unmanned plane aquaculture based on wireless sense network precisely feeds intake operating system and method |
| CN107371040A (en) * | 2017-08-28 | 2017-11-21 | 荆门程远电子科技有限公司 | A kind of unmanned plane image efficient process system |
| CN107371040B (en) * | 2017-08-28 | 2020-05-15 | 荆门程远电子科技有限公司 | High-efficient processing system of unmanned aerial vehicle image |
| CN108416263A (en) * | 2018-01-29 | 2018-08-17 | 华南农业大学 | A kind of drone height measurement method of low cost suitable for the monitoring of agriculture feelings low-altitude remote sensing |
| CN108416263B (en) * | 2018-01-29 | 2020-09-01 | 华南农业大学 | Low-cost unmanned aerial vehicle height measurement method suitable for agricultural condition low-altitude remote sensing monitoring |
| CN108415326A (en) * | 2018-03-01 | 2018-08-17 | 四川智慧鹰航空科技有限公司 | A kind of miniature drone possessing realtime graphic control system |
| 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 |
| CN108881825A (en) * | 2018-06-14 | 2018-11-23 | 华南农业大学 | Rice weed monitoring unmanned system and its monitoring method based on Jetson TK1 |
| CN113327343A (en) * | 2019-01-09 | 2021-08-31 | 深圳市道通智能航空技术股份有限公司 | Flight log uploading method and device, mobile terminal and unmanned aerial vehicle |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105657261A (en) | Unmanned aerial vehicle remote sensing image collection system and method based on Android device | |
| CN108881825A (en) | Rice weed monitoring unmanned system and its monitoring method based on Jetson TK1 | |
| CN112990262B (en) | Integrated solution system for monitoring and intelligent decision of grassland ecological data | |
| CN105761150B (en) | Crop information and sample acquisition method and system | |
| CN107807125A (en) | Plant information computing system and method based on UAV system multispectral sensor | |
| CN109630905A (en) | A kind of full intelligent inspection system of oil-gas pipeline based on unmanned aerial vehicle remote sensing and deep learning | |
| CN107092270A (en) | Realize method, the apparatus and system of formation flight | |
| CN101290238A (en) | Agricultural land information monitoring system based on ZigBee network and embedded 3S technology | |
| CN105225161A (en) | A kind of farming agriculture feelings intelligent collector | |
| KR20200077808A (en) | Video-based monitoring apparatus and operation method | |
| CN104089590A (en) | Automatic measuring device for acquiring vegetation canopy structure parameters | |
| CN110370273A (en) | A kind of Obstacle Avoidance, device and system | |
| CN110471637A (en) | The annotation by long-range carrier captured image is transmitted between display | |
| CN113743358A (en) | Landscape visual feature recognition method based on all-dimensional acquisition and intelligent calculation | |
| CN103136632A (en) | Crop disease condition prescription chart generation and publishing system | |
| CN112166911A (en) | Rapid disease and insect pest accurate detection pesticide application system and method | |
| CN203149656U (en) | Monocotyledonous /dicotyledonous weed identification spray management device | |
| CN102230976A (en) | Grain production risk data acquisition method | |
| CN206601498U (en) | Housing demolition remote supervision system based on satellite remote sensing images | |
| CN107493377A (en) | A kind of thermal parameter harvester and method based on mobile terminal application | |
| CN207440584U (en) | It is a kind of based on the forest farm of cloud platform forestry monitoring information system | |
| CN210511074U (en) | Full-intelligent oil-gas pipeline inspection system based on unmanned aerial vehicle remote sensing and deep learning | |
| CN103618785A (en) | Agriculture technology extension Android client system and realizing method thereof | |
| Jalajamony et al. | Drone aided thermal mapping for selective irrigation of localized dry spots | |
| CN205942495U (en) | Agricultural information gathers monitoring system based on GPRS |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into 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: 20160608 |