CN104035412A - Crop diseases and pest monitoring system and method based on unmanned plane - Google Patents
Crop diseases and pest monitoring system and method based on unmanned plane Download PDFInfo
- Publication number
- CN104035412A CN104035412A CN201410259770.8A CN201410259770A CN104035412A CN 104035412 A CN104035412 A CN 104035412A CN 201410259770 A CN201410259770 A CN 201410259770A CN 104035412 A CN104035412 A CN 104035412A
- Authority
- CN
- China
- Prior art keywords
- unmanned plane
- module
- diseases
- pests
- monitoring system
- 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
Landscapes
- Catching Or Destruction (AREA)
Abstract
The invention relates to a crop diseases and pest monitoring system based on an unmanned plane. The monitoring system comprises the unmanned plane and a ground station, devices which are carried on the unmanned plane include a control module, a global position system (GPS) positioning module, a sensing module and an image capture module, the GPS positioning module, the sensing module and the image capture module are connected with the control module, the sensing module comprises a pulse radar and a multi-band spectrum scanner and an infrared spectrometer, the pulse radar is used for monitoring insects, and the multi-band spectrum scanner and the infrared spectrometer are used for monitoring crops. The invention further provides a crop diseases and pest monitoring method based on the unmanned plane. The method includes the following steps that (1) the unmanned plane captures crops images and states in a delimited range; (2) a master control module analyzes the images which are captured by the image capture module, and remote sensing images and spectroscopic data from the sensing module; (3) the data in the step (2) are transmitted back to the ground station to be further analyzed. The unmanned plane infrared remote sensing technology is utilized for monitoring crop diseases and pest, and can serve as a powerful complement of satellite and space flight and aviation remote sensing.
Description
Technical field
the present invention relates to unmanned aerial vehicle remote sensing application, particularly a kind of diseases and pests of agronomic crop monitoring system and method based on unmanned plane.
Background technology
Impact and the harm of diseases and pests of agronomic crop on agricultural production is quite surprising.According to statistics, crop disease and insect can make the world agriculture harvest underproduction 1/3, and the loss that world's corn yield causes due to disease and pest estimates approximately to can be 12% of harvest yield.China is large agricultural country, and diseases and pests of agronomic crop is also quite serious on the impact of agricultural production, and the loss causing due to disease and pest is every year also appreciable about 10%～15% greatly.Therefore, how we can find disease and pest early, take early prophylactico-therapeutic measures, reduce the loss as far as possible, improve crop yield, just become letter problem to be solved in current agricultural production.
Unmanned plane is a kind of by wireless remote control or by self programme controlled not manned vehicle, with satellite remote sensing, Aero-Space remote sensing is compared, and has unique advantage, can be used as their useful supplementing aspect diseases and pests of agronomic crop monitoring.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of diseases and pests of agronomic crop monitoring system based on unmanned plane, and relatively satellite remote sensing, Aero-Space remote sensing cost are lower, are easy to control.
The present invention is by the following technical solutions: a kind of diseases and pests of agronomic crop monitoring system based on unmanned plane, comprise unmanned plane and land station, GPS locating module, sensing module and image capture module that the equipment that unmanned plane carries has control module and is connected with control module, sensing module comprises monitors the pulsed radar of insect and multiband spectrum scanner, the infrared spectrometer of monitoring crops.Also comprise humiture module, be connected with control module; Communication module, for connecting main control module and land station.
Preferably, image capture module is CCD camera, and humiture module is infrared thermography.
The present invention also provides the diseases and pests of agronomic crop monitoring method of a kind of utilization based on unmanned plane, comprises the following steps:
Crop map picture and state in step 1, unmanned plane collection draw the line;
The image that step 2, main control module analysis image acquisition module gather and from remote sensing images and the spectroscopic data of sensing module;
Step 3, the data back land station in step 2 is further analyzed.
Step 1 detailed process is:
1), image capture module is taken pictures to crops and surrounding environment in real time;
2), pulsed radar has or not insect according to the electromagnetic wave detection that is reflected back, infrared spectrometer and multiband spectrum scanner gather the spectral signature of the different-waveband of crops, and generate collection of illustrative plates.
Whether step 2 detailed process is: different and have disease and pest to set up respectively model according to crop growth period.
The beneficial effect that the present invention reaches is: 1, save time, laborsaving and take pictures and there is no dead angle; 2, unmanned plane small and exquisite flexibly, be convenient to control; 3, Satellite Remote Sensing, Aero-Space monitoring relatively, cost is lower, easily realizes.
Brief description of the drawings
Fig. 1 is the diseases and pests of agronomic crop monitoring system structured flowchart that the present invention is based on unmanned plane.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
As shown in Figure 1, the GPS locating module, sensing module and the image capture module that the present invention includes control module and be connected with control module, sensing module comprises monitors the pulsed radar of insect and multiband spectrum scanner, the infrared spectrometer of monitoring crops.Also comprise humiture module, be connected with control module; Communication module, for connecting main control module and land station.
Remote sensing technique prediction crop disease and insect, except from spectrum angle analysis, also can be identified the crop that has disease and pest with remote sensing image.
Crop does not also recognize the disease and pest initial stage of coming at naked eyes, it presents dark red tone on color infrared image, and normal crop is red.The tone difference producing according to image contrast can be judged the crop that is injured.Because crop is often very high at the spectral reflectivity in near-infrared wavelength territory, in the time that crop is subject to disease and pest, leaf water content reduces, and cell subsides thereupon, chlorophyll reduces, therefore, they can reduce by nature at the spectral reflectance in infrared wavelength territory, and infrared spectrum reflection loss occurs, cause on color infrared image, the tone of crop of being injured is darker than the tone of normal crop, and in the time that normal crop be redness, the crop that is injured is rendered as kermesinus.When disease and pest further develops, the chlorophyll of crop leaf is disappeared totally, blade construction is while suffering thoroughly to destroy, it is darker that image tone can become, so that present cyan tune etc.According to the difference of being injured on color infrared image between crop and normal crop tone, the crop that is injured that we just can not yet aware naked eyes very soon judges, as shown in the table.
Show healthy crops and the image feature of the crops that are injured
| Crops | Color infrared image | True color image |
| Healthy crops | Scarlet | Green |
| Be subject to disease and pest crops (initial stage) | Dark red | Green |
| Be subject to disease and pest crops (later stage) | Reddish brown-green grass or young crops | Yellowish green |
Be more than preferred embodiments of the present invention, but protection scope of the present invention is not limited to this.Any those of ordinary skill in the art are in the disclosed technical scope of the present invention, and the conversion of expecting without creative work or replacement, within all should being encompassed in protection scope of the present invention.Therefore protection scope of the present invention should be as the criterion with the protection domain that claim was limited.
Claims (8)
1. the diseases and pests of agronomic crop monitoring system based on unmanned plane, comprise unmanned plane and land station, GPS locating module, sensing module and image capture module that the equipment that unmanned plane carries has control module and is connected with control module, is characterized in that: described sensing module comprises monitors the pulsed radar of insect and multiband spectrum scanner, the infrared spectrometer of monitoring crops.
2. the diseases and pests of agronomic crop monitoring system based on unmanned plane according to claim 1, is characterized in that: also comprise humiture module, be connected with control module.
3. the diseases and pests of agronomic crop monitoring system based on unmanned plane according to claim 1, is characterized in that: also comprise communication module, for connecting main control module and land station.
4. the diseases and pests of agronomic crop monitoring system based on unmanned plane according to claim 1, is characterized in that: described image capture module is CCD camera.
5. the diseases and pests of agronomic crop monitoring system based on unmanned plane according to claim 2, is characterized in that: described humiture module is infrared thermography.
6. a method of utilizing the diseases and pests of agronomic crop monitoring system based on unmanned plane described in claim 1 to monitor, is characterized in that, comprises the following steps:
Crop map picture and state in step 1, unmanned plane collection draw the line;
The image that step 2, main control module analysis image acquisition module gather and from remote sensing images and the spectroscopic data of sensing module;
Step 3, the data back land station in step 2 is further analyzed.
7. the diseases and pests of agronomic crop monitoring method based on unmanned plane according to claim 6, is characterized in that, described step 1 detailed process is:
1), image capture module is taken pictures to crops and surrounding environment in real time;
2), pulsed radar has or not insect according to the electromagnetic wave detection that is reflected back, infrared spectrometer and multiband spectrum scanner gather the spectral signature of the different-waveband of crops, and generate collection of illustrative plates.
8. whether the diseases and pests of agronomic crop monitoring method based on unmanned plane according to claim 6, is characterized in that, described step 2 detailed process is: different and have disease and pest to set up respectively model according to crop growth period.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410259770.8A CN104035412A (en) | 2014-06-12 | 2014-06-12 | Crop diseases and pest monitoring system and method based on unmanned plane |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410259770.8A CN104035412A (en) | 2014-06-12 | 2014-06-12 | Crop diseases and pest monitoring system and method based on unmanned plane |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104035412A true CN104035412A (en) | 2014-09-10 |
Family
ID=51466219
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410259770.8A Pending CN104035412A (en) | 2014-06-12 | 2014-06-12 | Crop diseases and pest monitoring system and method based on unmanned plane |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104035412A (en) |
Cited By (39)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104330410A (en) * | 2014-11-04 | 2015-02-04 | 无锡北斗星通信息科技有限公司 | Crop pest detection system positioned on unmanned aerial vehicle |
| CN104699111A (en) * | 2015-03-25 | 2015-06-10 | 成都好飞机器人科技有限公司 | Disease/insect pest prevention and treatment apparatus based on unmanned aerial vehicle |
| CN104764533A (en) * | 2015-03-31 | 2015-07-08 | 梁伟 | Intelligent agricultural system based on unmanned aerial vehicle image collecting and thermal infrared imager |
| CN104950082A (en) * | 2015-06-22 | 2015-09-30 | 黑龙江八一农垦大学 | Pest and disease damage predicting system |
| CN105046909A (en) * | 2015-06-17 | 2015-11-11 | 中国计量学院 | Agricultural loss assessment assisting method based on small-sized unmanned aerial vehicle |
| CN105314100A (en) * | 2015-10-27 | 2016-02-10 | 重庆光煦科技有限公司 | Mountain forest operation unmanned aerial vehicle based on GPS |
| CN105510242A (en) * | 2015-12-28 | 2016-04-20 | 南京农业大学 | Crop growth monitoring method and device based on multi-rotor wing unmanned aerial vehicle platform |
| CN105527657A (en) * | 2016-01-14 | 2016-04-27 | 河海大学 | Large-area farmland crop water status monitoring method and system based on unmanned aerial vehicle infrared thermal image acquisition |
| CN105759838A (en) * | 2016-05-11 | 2016-07-13 | 北方民族大学 | Plant growth condition monitoring device and method based on unmanned aerial vehicle |
| CN105847411A (en) * | 2016-05-10 | 2016-08-10 | 大连理工大学 | Crop insect disease detection system |
| CN106094849A (en) * | 2016-06-17 | 2016-11-09 | 上海理工大学 | Four-rotor aircraft control system and control method for farm autonomous management |
| CN106338492A (en) * | 2016-08-17 | 2017-01-18 | 中国电子科技集团公司第四十研究所 | Crops investigation system based on micro UAV-borne imaging spectrometer |
| CN106382919A (en) * | 2016-09-09 | 2017-02-08 | 西北农林科技大学 | Agricultural trinocular remote-sensing multispectral camera |
| CN106442626A (en) * | 2016-10-31 | 2017-02-22 | 深圳前海弘稼科技有限公司 | Insect damage inspection promoting method and device |
| CN106568777A (en) * | 2016-11-16 | 2017-04-19 | 王金鹏 | Pest and disease monitoring system |
| CN106645147A (en) * | 2016-11-16 | 2017-05-10 | 王金鹏 | Method for pest and disease damage monitoring |
| CN106645563A (en) * | 2016-09-30 | 2017-05-10 | 深圳前海弘稼科技有限公司 | Disease and pest predicting method and device based on planting equipment |
| CN106778888A (en) * | 2016-12-27 | 2017-05-31 | 浙江大学 | A kind of orchard pest and disease damage survey system and method based on unmanned aerial vehicle remote sensing |
| CN106780323A (en) * | 2016-11-23 | 2017-05-31 | 湖北大学 | A kind of collection of agriculture feelings and real time updating method and system based on smart mobile phone |
| CN106915462A (en) * | 2017-02-14 | 2017-07-04 | 福建兴宇信息科技有限公司 | Forestry pests ＆ diseases intelligent identifying system based on multi-source image information |
| CN106940734A (en) * | 2017-04-24 | 2017-07-11 | 南京信息工程大学 | A kind of Migrating Insects monitor recognition methods and device in the air |
| CN107084756A (en) * | 2017-03-17 | 2017-08-22 | 浙江理工大学 | The insect pest image Forecasting Method sent based on raspberry |
| CN107315381A (en) * | 2017-08-02 | 2017-11-03 | 宿松县玖索科技信息有限公司 | A kind of monitoring method of diseases and pests of agronomic crop |
| CN107682456A (en) * | 2017-11-07 | 2018-02-09 | 蔡璟 | A kind of intelligent gardens nursing system based on image and root detection |
| CN108226224A (en) * | 2018-01-30 | 2018-06-29 | 浙江大学 | A kind of crop disease monitoring method and system based on unmanned plane thermal imaging |
| CN108267175A (en) * | 2018-02-06 | 2018-07-10 | 首欣（北京）科技有限公司 | A kind of crops monitoring method and device based on unmanned plane |
| CN108334110A (en) * | 2018-02-06 | 2018-07-27 | 首欣（北京）科技有限公司 | A kind of forestry disease monitoring method and apparatus based on unmanned plane |
| CN108346143A (en) * | 2018-01-30 | 2018-07-31 | 浙江大学 | A kind of crop disease monitoring method and system based on the fusion of unmanned plane multi-source image |
| CN108801350A (en) * | 2018-06-22 | 2018-11-13 | 江苏省农业科学院 | A kind of fruit tree growth monitoring system based on unmanned plane Technology of low altitude remote sensing |
| CN108873851A (en) * | 2018-09-06 | 2018-11-23 | 保定智飞航空科技有限公司 | A kind of agricultural unmanned plane managing and control system |
| CN109491292A (en) * | 2018-11-30 | 2019-03-19 | 福建农林大学 | A kind of bamboo resource intelligent monitoring management system |
| CN109507119A (en) * | 2018-09-28 | 2019-03-22 | 浙江农林大学 | A kind of water quality element concentration detection method based on unmanned plane spectrum |
| CN110487743A (en) * | 2019-08-20 | 2019-11-22 | Oppo（重庆）智能科技有限公司 | Plant information detection method, device and terminal device |
| CN110940636A (en) * | 2019-12-05 | 2020-03-31 | 华南农业大学 | Intelligent identification and forest information monitoring system for citrus forest diseases and insect pests |
| CN111044520A (en) * | 2019-12-12 | 2020-04-21 | 湖南省林业科学院 | Monitoring method for main diseases and insect pests of camellia oleifera |
| CN112434569A (en) * | 2020-11-09 | 2021-03-02 | 吉林化工学院 | Thermal imaging system of unmanned aerial vehicle |
| CN112485284A (en) * | 2020-12-01 | 2021-03-12 | 中国农业大学 | Unmanned aerial vehicle farmland disease, insect and weed information collaborative sensing system |
| CN113237880A (en) * | 2021-05-06 | 2021-08-10 | 塔里木大学 | Cotton verticillium wilt monitoring method based on unmanned aerial vehicle remote sensing |
| WO2022016569A1 (en) * | 2020-07-22 | 2022-01-27 | 南京科沃云计算信息技术有限公司 | Crop disease and pest damage recognition system based on edge computing, and identification method thereof |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003312592A (en) * | 2002-04-25 | 2003-11-06 | Mitsubishi Heavy Ind Ltd | Remote-control system |
| CN102523245A (en) * | 2011-11-10 | 2012-06-27 | 许春香 | Agricultural pest and growth condition forecasting, prevention and control Internet of things and method |
| CN103425102A (en) * | 2013-07-30 | 2013-12-04 | 上海丰凸通讯科技有限公司 | Intelligent fertilizing system based on low-altitude remote sensing and multispectral accurate recognition |
| CN103523234A (en) * | 2013-10-31 | 2014-01-22 | 无锡同春新能源科技有限公司 | Unmanned aerial vehicle with colorized rice insect pest image recognition instrument and for killing rice planthoppers |
| CN103700237A (en) * | 2013-12-12 | 2014-04-02 | 杨驾鹏 | Low-power-dissipation automatic monitoring system for insect pests |
| CN103803083A (en) * | 2014-01-17 | 2014-05-21 | 浙江大学 | GPS-based unmanned aerial vehicle pesticide spraying device and method |
-
2014
- 2014-06-12 CN CN201410259770.8A patent/CN104035412A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003312592A (en) * | 2002-04-25 | 2003-11-06 | Mitsubishi Heavy Ind Ltd | Remote-control system |
| CN102523245A (en) * | 2011-11-10 | 2012-06-27 | 许春香 | Agricultural pest and growth condition forecasting, prevention and control Internet of things and method |
| CN103425102A (en) * | 2013-07-30 | 2013-12-04 | 上海丰凸通讯科技有限公司 | Intelligent fertilizing system based on low-altitude remote sensing and multispectral accurate recognition |
| CN103523234A (en) * | 2013-10-31 | 2014-01-22 | 无锡同春新能源科技有限公司 | Unmanned aerial vehicle with colorized rice insect pest image recognition instrument and for killing rice planthoppers |
| CN103700237A (en) * | 2013-12-12 | 2014-04-02 | 杨驾鹏 | Low-power-dissipation automatic monitoring system for insect pests |
| CN103803083A (en) * | 2014-01-17 | 2014-05-21 | 浙江大学 | GPS-based unmanned aerial vehicle pesticide spraying device and method |
Non-Patent Citations (1)
| Title |
|---|
| 朱航: "基于多源遥感信息融合的作物营养状况监测与喷洒控制系统的研究", 《中国博士学位论文全文数据库农业科技辑》 * |
Cited By (51)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104330410A (en) * | 2014-11-04 | 2015-02-04 | 无锡北斗星通信息科技有限公司 | Crop pest detection system positioned on unmanned aerial vehicle |
| CN104330410B (en) * | 2014-11-04 | 2015-11-25 | 南通宏大机电制造有限公司 | Be positioned at the crop disease and insect detection system on unmanned plane |
| CN104699111A (en) * | 2015-03-25 | 2015-06-10 | 成都好飞机器人科技有限公司 | Disease/insect pest prevention and treatment apparatus based on unmanned aerial vehicle |
| CN104764533A (en) * | 2015-03-31 | 2015-07-08 | 梁伟 | Intelligent agricultural system based on unmanned aerial vehicle image collecting and thermal infrared imager |
| CN105046909A (en) * | 2015-06-17 | 2015-11-11 | 中国计量学院 | Agricultural loss assessment assisting method based on small-sized unmanned aerial vehicle |
| CN104950082A (en) * | 2015-06-22 | 2015-09-30 | 黑龙江八一农垦大学 | Pest and disease damage predicting system |
| CN105314100A (en) * | 2015-10-27 | 2016-02-10 | 重庆光煦科技有限公司 | Mountain forest operation unmanned aerial vehicle based on GPS |
| WO2017114387A1 (en) * | 2015-12-28 | 2017-07-06 | 南京农业大学 | Multi-rotor wing unmanned aerial vehicle platform based crop growth monitoring method and device |
| US10845301B2 (en) | 2015-12-28 | 2020-11-24 | Nanjing Agricultural University | Multi-rotor wing unmanned aerial vehicle platform based crop growth monitoring method and device |
| CN105510242A (en) * | 2015-12-28 | 2016-04-20 | 南京农业大学 | Crop growth monitoring method and device based on multi-rotor wing unmanned aerial vehicle platform |
| CN105527657A (en) * | 2016-01-14 | 2016-04-27 | 河海大学 | Large-area farmland crop water status monitoring method and system based on unmanned aerial vehicle infrared thermal image acquisition |
| CN105847411A (en) * | 2016-05-10 | 2016-08-10 | 大连理工大学 | Crop insect disease detection system |
| CN105759838B (en) * | 2016-05-11 | 2018-05-22 | 北方民族大学 | Vegetation growth state monitoring device and method based on unmanned plane |
| CN105759838A (en) * | 2016-05-11 | 2016-07-13 | 北方民族大学 | Plant growth condition monitoring device and method based on unmanned aerial vehicle |
| CN106094849A (en) * | 2016-06-17 | 2016-11-09 | 上海理工大学 | Four-rotor aircraft control system and control method for farm autonomous management |
| CN106338492A (en) * | 2016-08-17 | 2017-01-18 | 中国电子科技集团公司第四十研究所 | Crops investigation system based on micro UAV-borne imaging spectrometer |
| CN106382919A (en) * | 2016-09-09 | 2017-02-08 | 西北农林科技大学 | Agricultural trinocular remote-sensing multispectral camera |
| CN106645563A (en) * | 2016-09-30 | 2017-05-10 | 深圳前海弘稼科技有限公司 | Disease and pest predicting method and device based on planting equipment |
| CN106442626A (en) * | 2016-10-31 | 2017-02-22 | 深圳前海弘稼科技有限公司 | Insect damage inspection promoting method and device |
| WO2018077101A1 (en) * | 2016-10-31 | 2018-05-03 | 深圳前海弘稼科技有限公司 | Pest damage inspection and warning method and apparatus |
| CN106645147A (en) * | 2016-11-16 | 2017-05-10 | 王金鹏 | Method for pest and disease damage monitoring |
| CN106568777A (en) * | 2016-11-16 | 2017-04-19 | 王金鹏 | Pest and disease monitoring system |
| CN106780323B (en) * | 2016-11-23 | 2020-03-17 | 湖北大学 | Agricultural condition acquisition and real-time updating method and system based on smart phone |
| CN106780323A (en) * | 2016-11-23 | 2017-05-31 | 湖北大学 | A kind of collection of agriculture feelings and real time updating method and system based on smart mobile phone |
| CN106778888A (en) * | 2016-12-27 | 2017-05-31 | 浙江大学 | A kind of orchard pest and disease damage survey system and method based on unmanned aerial vehicle remote sensing |
| CN106915462A (en) * | 2017-02-14 | 2017-07-04 | 福建兴宇信息科技有限公司 | Forestry pests ＆ diseases intelligent identifying system based on multi-source image information |
| CN107084756A (en) * | 2017-03-17 | 2017-08-22 | 浙江理工大学 | The insect pest image Forecasting Method sent based on raspberry |
| CN107084756B (en) * | 2017-03-17 | 2019-03-08 | 浙江理工大学 | Insect pest image Forecasting Method based on raspberry pie |
| CN106940734A (en) * | 2017-04-24 | 2017-07-11 | 南京信息工程大学 | A kind of Migrating Insects monitor recognition methods and device in the air |
| CN107315381A (en) * | 2017-08-02 | 2017-11-03 | 宿松县玖索科技信息有限公司 | A kind of monitoring method of diseases and pests of agronomic crop |
| CN107315381B (en) * | 2017-08-02 | 2020-07-17 | 吴青平 | Monitoring method for crop diseases and insect pests |
| CN107682456A (en) * | 2017-11-07 | 2018-02-09 | 蔡璟 | A kind of intelligent gardens nursing system based on image and root detection |
| CN108346143A (en) * | 2018-01-30 | 2018-07-31 | 浙江大学 | A kind of crop disease monitoring method and system based on the fusion of unmanned plane multi-source image |
| CN108226224A (en) * | 2018-01-30 | 2018-06-29 | 浙江大学 | A kind of crop disease monitoring method and system based on unmanned plane thermal imaging |
| CN108334110A (en) * | 2018-02-06 | 2018-07-27 | 首欣（北京）科技有限公司 | A kind of forestry disease monitoring method and apparatus based on unmanned plane |
| CN108267175A (en) * | 2018-02-06 | 2018-07-10 | 首欣（北京）科技有限公司 | A kind of crops monitoring method and device based on unmanned plane |
| CN108267175B (en) * | 2018-02-06 | 2021-01-08 | 首欣（北京）科技有限公司 | Crop monitoring method and device based on unmanned aerial vehicle |
| CN108801350A (en) * | 2018-06-22 | 2018-11-13 | 江苏省农业科学院 | A kind of fruit tree growth monitoring system based on unmanned plane Technology of low altitude remote sensing |
| CN108873851A (en) * | 2018-09-06 | 2018-11-23 | 保定智飞航空科技有限公司 | A kind of agricultural unmanned plane managing and control system |
| CN109507119A (en) * | 2018-09-28 | 2019-03-22 | 浙江农林大学 | A kind of water quality element concentration detection method based on unmanned plane spectrum |
| CN109491292A (en) * | 2018-11-30 | 2019-03-19 | 福建农林大学 | A kind of bamboo resource intelligent monitoring management system |
| CN110487743A (en) * | 2019-08-20 | 2019-11-22 | Oppo（重庆）智能科技有限公司 | Plant information detection method, device and terminal device |
| CN110940636A (en) * | 2019-12-05 | 2020-03-31 | 华南农业大学 | Intelligent identification and forest information monitoring system for citrus forest diseases and insect pests |
| CN110940636B (en) * | 2019-12-05 | 2020-12-08 | 华南农业大学 | Intelligent identification and forest information monitoring system for citrus forest diseases and insect pests |
| CN111044520A (en) * | 2019-12-12 | 2020-04-21 | 湖南省林业科学院 | Monitoring method for main diseases and insect pests of camellia oleifera |
| WO2022016569A1 (en) * | 2020-07-22 | 2022-01-27 | 南京科沃云计算信息技术有限公司 | Crop disease and pest damage recognition system based on edge computing, and identification method thereof |
| CN112434569A (en) * | 2020-11-09 | 2021-03-02 | 吉林化工学院 | Thermal imaging system of unmanned aerial vehicle |
| CN112434569B (en) * | 2020-11-09 | 2024-03-12 | 吉林化工学院 | Unmanned aerial vehicle thermal imaging system |
| CN112485284A (en) * | 2020-12-01 | 2021-03-12 | 中国农业大学 | Unmanned aerial vehicle farmland disease, insect and weed information collaborative sensing system |
| CN112485284B (en) * | 2020-12-01 | 2022-02-15 | 中国农业大学 | Unmanned aerial vehicle farmland disease, insect and weed information collaborative sensing system |
| CN113237880A (en) * | 2021-05-06 | 2021-08-10 | 塔里木大学 | Cotton verticillium wilt monitoring method based on unmanned aerial vehicle remote sensing |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104035412A (en) | Crop diseases and pest monitoring system and method based on unmanned plane | |
| US10192185B2 (en) | Farmland management system and farmland management method | |
| Shukla et al. | Detecting crop health using machine learning techniques in smart agriculture system | |
| CN107315381B (en) | Monitoring method for crop diseases and insect pests | |
| JP6365668B2 (en) | Information processing apparatus, device, information processing system, control signal production method, program | |
| CN103761674B (en) | The crop growth phase based on remote sensing with magnanimity climatic information alerts and interference method | |
| CN110796001B (en) | Satellite image film-covering farmland identification and extraction method and system | |
| Stroppiana et al. | Rice yield estimation using multispectral data from UAV: A preliminary experiment in northern Italy | |
| Doitsidis et al. | Remote monitoring of the Bactrocera oleae (Gmelin)(Diptera: Tephritidae) population using an automated McPhail trap | |
| AU2022252757A1 (en) | Method and system for crop yield estimation | |
| US20200182697A1 (en) | Active illumination 2d and/or 3d imaging device for agriculture | |
| CN106778888A (en) | A kind of orchard pest and disease damage survey system and method based on unmanned aerial vehicle remote sensing | |
| EP3311194A1 (en) | Systems and methods for enhancing synthetic aperture radar imagery | |
| CN104730005A (en) | Ground-air integrated agricultural monitoring system and method | |
| CN106197380A (en) | Aquatic vegetation monitoring method based on unmanned plane and system | |
| Marín et al. | Urban lawn monitoring in smart city environments | |
| CN104764533A (en) | Intelligent agricultural system based on unmanned aerial vehicle image collecting and thermal infrared imager | |
| CN107347849B (en) | Intelligent spraying system based on hyperspectral real-time detection technology | |
| Kakamoukas et al. | A multi-collective, IoT-enabled, adaptive smart farming architecture | |
| Moradi et al. | UAV-based smart agriculture: A review of UAV sensing and applications | |
| Marín et al. | Autonomous WSN for lawns monitoring in smart cities | |
| Pauly | Applying conventional vegetation vigor indices to UAS-derived orthomosaics: issues and considerations | |
| Trujillano et al. | Corn classification using Deep Learning with UAV imagery. An operational proof of concept | |
| CN110602179A (en) | Agricultural data acquisition system based on NB-IoT | |
| CN204514798U (en) | Air-ground integrated agricultural monitoring system |
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 |
Application publication date: 20140910 |
|
| RJ01 | Rejection of invention patent application after publication |