技术领域technical field
本发明涉及农用植保领域，尤其涉及的是一种基于机器视觉业的精准喷药系统。The invention relates to the field of agricultural plant protection, in particular to a precision spraying system based on machine vision.
背景技术Background technique
植物保护是农业生产中一个必不可少的环节。植物在生长过程中难免会受到病虫害的影响，为了保证和促进植物的正常生长,高效的农药、先进的作业机具以及规范的施药技术这三个方面都发挥着重要的作用,并且影响农药利用率和病虫害的防治效果。目前,我国农药生产技术已处于世界先进水平,但病虫害防治过程中不仅农药利用率低、施药效果差,而且还造成了农产品中农药残留超标、环境污染、作物药害和操作者中毒等一系列问题。据统计,农药利用率最好的也不足30％,农药流失量高达60％～70％。Plant protection is an essential link in agricultural production. Plants will inevitably be affected by diseases and insect pests during the growth process. In order to ensure and promote the normal growth of plants, efficient pesticides, advanced operating tools and standardized pesticide application techniques all play an important role, and affect the use of pesticides. rate and effectiveness of pest control. At present, my country's pesticide production technology has reached the advanced level in the world, but in the process of pest control, not only the utilization rate of pesticides is low, the application effect is poor, but also the pesticide residues in agricultural products exceed the standard, environmental pollution, crop injury and operator poisoning, etc. series of questions. According to statistics, the best utilization rate of pesticides is less than 30%, and the loss of pesticides is as high as 60% to 70%.
喷药作业传统的做法是把某一片土地的农作物看作是具有遭受病虫害严重程度相同的对象进行管理。事实上,农田里农作物的病虫害都是先在小区范围内以斑块形式发生,再根据各自的时空特性蔓延,即使同一位置的地表上下,其各自影响作物的生长和产量均存在差异。常规的喷药方法容易造成农药的大量流失,并且只有少量农药能喷洒到靶标上。此外,为了达到对农作物病虫害的防治目的而采用的传统均匀喷药作业模式,没有喷洒到靶标上的农药容易造成农业环境污染,从而导致生态环境污染。目前,农产品中农药残留的超标、农业土壤和水体的污染大都是由于农药的过量使用造成。如此,不仅我国人民的生命安全受到威胁,同时我国农产品的出口情况也受到影响。为了改变现况,除了需要在农业化学方面不断进步,更需要我们对农药精确喷药系统的研发。The traditional practice of pesticide spraying is to manage the crops in a certain land as having the same severity of pests and diseases. In fact, the pests and diseases of crops in the farmland first occur in the form of patches within the community, and then spread according to their respective spatio-temporal characteristics. Even if the same location is above and below the surface, their respective effects on crop growth and yield are different. Conventional spraying methods are likely to cause a large amount of pesticide loss, and only a small amount of pesticides can be sprayed on the target. In addition, in order to achieve the purpose of preventing and controlling crop diseases and insect pests, the traditional uniform spraying operation mode is adopted, and the pesticides that are not sprayed on the target are likely to cause agricultural environmental pollution, resulting in ecological environmental pollution. At present, the excess of pesticide residues in agricultural products and the pollution of agricultural soil and water are mostly caused by the excessive use of pesticides. In this way, not only the lives of our people are threatened, but also the export of our agricultural products is also affected. In order to change the current situation, in addition to continuous progress in agricultural chemistry, we also need our research and development of precise pesticide spraying systems.
因此，精确喷药技术的使用可以减少农药的使用量、防止农药的危害,从而使资源得到节约、生态环境得到保护,促进了农业方面的可持续发展。本发明将定位喷药和变量喷药结合,提出根据喷药目标的有无、目标作物面积的大小,目标有虫害作物的具体定位，实施定位变量喷药,从而解决对农作物更精确的喷施。Therefore, the use of precision spraying technology can reduce the use of pesticides and prevent the harm of pesticides, thereby saving resources, protecting the ecological environment, and promoting the sustainable development of agriculture. The invention combines positioning spraying and variable spraying, and proposes to implement positioning variable spraying according to the presence or absence of spraying targets, the size of the target crop area, and the specific positioning of target crops with insect pests, so as to solve the problem of more accurate spraying of crops .
发明内容Contents of the invention
本发明的目的在于克服现有技术的喷药浪费和喷药目标不精确的缺陷，提供了一种基于机器视觉业的精准喷药系统来解决上述问题。The purpose of the present invention is to overcome the defects of spraying waste and inaccurate spraying target in the prior art, and provide a precision spraying system based on machine vision industry to solve the above problems.
本发明是通过以下技术方案实现的：一种基于机器视觉业的精准喷药系统，包括计算机，智能监控终端、液晶显示装置和语音提示装置，其特征在于：所述的智能监控终端、液晶显示装置和语音提示装置均与计算机相连，所述的智能监控终端与智能检测装置相连，所述的智能检测装置包括GPS定位装置和实时图像监控装置。The present invention is achieved through the following technical solutions: a precision spraying system based on machine vision, including a computer, an intelligent monitoring terminal, a liquid crystal display device and a voice prompt device, characterized in that: the intelligent monitoring terminal, liquid crystal display The device and the voice prompting device are all connected to the computer, and the intelligent monitoring terminal is connected to the intelligent detection device, and the intelligent detection device includes a GPS positioning device and a real-time image monitoring device.
优选的，所述的计算机还与喷药调度中心相连，所述的喷药调度中心与无人机相连。Preferably, the computer is also connected to the spraying dispatch center, and the spray dispatch center is connected to the UAV.
优选的，所述的实时图像监控装置是用于实时观察农作物的生长状况，所述的GPS定位装置是用于定位有虫害的农作物的具体位置。Preferably, the real-time image monitoring device is used to observe the growth status of the crops in real time, and the GPS positioning device is used to locate the specific location of the crops infested by insects.
作为优选，所述的实时图像监控装置是采用高清CCD照相机来实时获取农作物生长的图像信息的。Preferably, the real-time image monitoring device adopts a high-definition CCD camera to obtain image information of crop growth in real time.
优选的，所述的GPS定位装置与实时图像监控装置均设有无线发送模块，所述的计算机设有无线接收模块。Preferably, both the GPS positioning device and the real-time image monitoring device are provided with a wireless sending module, and the computer is provided with a wireless receiving module.
优选的，所述的无线发送模块与无线接收模块无线相连接。Preferably, the wireless sending module is wirelessly connected with the wireless receiving module.
作为优选，所述的语音提示装置为扬声器、喇叭中的一种。Preferably, the voice prompt device is one of a loudspeaker and a horn.
本发明提供的一种基于机器视觉业的精准喷药系统，包括计算机，智能监控终端、液晶显示装置和语音提示装置，所述的智能监控终端、液晶显示装置和语音提示装置均与计算机相连，所述的智能监控终端与智能检测装置相连，所述的智能检测装置包括GPS定位装置和实时图像监控装置，所述的计算机还与喷药调度中心相连，所述的喷药调度中心与无人机相连。与现有技术相比，将GPS定位装置与实时图像监控装置结合，通过实时图像监控装置采集到农作物的生长状况与计算机内存储的正常农作物的信息进行比对，当发现农作物有虫害时，调出计算机内存储的不同虫害时农作物的生长信息进行比对，然后选择吻合度最高的虫害信息，通过GPS定位装置定位遭遇虫害的农作物的具体位置，计算机发送指令给喷药调度中心，喷药调度中心指挥无人机实时给有虫害的农作物喷药，以保证农作物正常生长，提高农药的利用率的同时不会对没有虫害的农作物喷药，不会对土壤产生污染，具有环保的益处。A precision spraying system based on machine vision industry provided by the present invention includes a computer, an intelligent monitoring terminal, a liquid crystal display device and a voice prompting device, and the intelligent monitoring terminal, the liquid crystal display device and the voice prompting device are all connected to the computer, The intelligent monitoring terminal is connected with an intelligent detection device, and the intelligent detection device includes a GPS positioning device and a real-time image monitoring device, and the computer is also connected with a spraying dispatching center, and the spraying dispatching center is connected with an unmanned machine connected. Compared with the existing technology, the GPS positioning device is combined with the real-time image monitoring device, and the growth status of the crops collected by the real-time image monitoring device is compared with the information of normal crops stored in the computer. Compare the growth information of crops with different pests stored in the computer, and then select the pest information with the highest matching degree, and use the GPS positioning device to locate the specific location of the crops that have encountered pests, and the computer sends instructions to the spraying dispatching center, spraying dispatching The center directs drones to spray pesticides on crops with pests in real time to ensure the normal growth of crops, improve the utilization rate of pesticides, and at the same time not spray pesticides on crops without pests, and will not pollute the soil, which is environmentally friendly.
附图说明Description of drawings
图1为本发明提供的基于机器视觉业的精准喷药系统的结构示意图。Fig. 1 is a structural schematic diagram of a precision spraying system based on machine vision industry provided by the present invention.
其中，1-计算机，2-智能监控终端、3-语音提示装置、4-液晶显示屏、5-喷药调度中心、6-无人机、7-智能检测装置、8-GPS定位装置、9-实时图像监控装置Among them, 1-computer, 2-intelligent monitoring terminal, 3-voice prompt device, 4-LCD display, 5-spraying dispatch center, 6-unmanned aerial vehicle, 7-intelligent detection device, 8-GPS positioning device, 9 -Real-time image monitoring device
具体实施方式detailed description
下面对本发明的实施例作详细说明，本实施例在以本发明技术方案为前提下进行实施，给出了详细的实施方式和具体的操作过程，但本发明的保护范围不限于下述的实施例。The embodiments of the present invention are described in detail below. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following implementation example.
参照附图1，一种基于机器视觉业的精准喷药系统，包括计算机1，智能监控终端2、液晶显示装置4和语音提示装置3，所述的智能监控终端2、液晶显示装置4和语音提示装置3均与计算机1相连，所述的智能监控终端2与智能检测装置7相连，所述的智能检测装置7包括GPS定位装置8和实时图像监控装置9，所述的计算机1还与喷药调度中心5相连，所述的喷药调度中心5与无人机6相连。With reference to accompanying drawing 1, a kind of precision spraying system based on machine vision industry comprises computer 1, intelligent monitoring terminal 2, liquid crystal display device 4 and voice prompt device 3, described intelligent monitoring terminal 2, liquid crystal display device 4 and voice The prompting device 3 is all connected with the computer 1, and the intelligent monitoring terminal 2 is connected with the intelligent detection device 7, and the intelligent detection device 7 includes a GPS positioning device 8 and a real-time image monitoring device 9, and the computer 1 is also connected with the spraying machine. Medicine dispatching center 5 is connected, and described spraying medicine dispatching center 5 is connected with UAV 6.
需要说明的是，实时图像监控装置9是用于实时观察农作物的生长状况，GPS定位装置8是用于定位有虫害的农作物的具体位置。所述的实时图像监控装置9是采用高清CCD照相机来实时获取农作物生长的图像信息的。It should be noted that the real-time image monitoring device 9 is used to observe the growth status of the crops in real time, and the GPS positioning device 8 is used to locate the specific location of the crops infested by insects. The real-time image monitoring device 9 adopts a high-definition CCD camera to obtain image information of crop growth in real time.
优选的，所述的GPS定位装置8与实时图像监控装置9均设有无线发送模块，所述的计算机1设有无线接收模块，所述的无线发送模块与无线接收模块无线相连接。Preferably, both the GPS positioning device 8 and the real-time image monitoring device 9 are provided with a wireless sending module, and the computer 1 is provided with a wireless receiving module, and the wireless sending module is wirelessly connected with the wireless receiving module.
作为优选，所述的语音提示装置3为扬声器、喇叭中的一种，语音提示装置3是用于提示位于计算机前的工作人员有虫害信息，以便工作人员能及时指挥调度中心给农作物配药和喷药。As preferably, the voice prompting device 3 is one of loudspeaker and loudspeaker, and the voice prompting device 3 is used to prompt the staff in front of the computer to have pest information, so that the staff can in time command the dispatching center to dispense and spray the crops. medicine.
本发明的实施过程为：将GPS定位装置8与实时图像监控装置9结合，通过实时图像监控装置9采集到农作物的生长状况与计算机1内存储的正常农作物的信息进行比对，当发现农作物有虫害时，调出计算机1内存储的不同虫害时农作物的生长信息进行比对，然后选择吻合度最高的虫害信息，通过GPS定位装置8定位遭遇虫害的农作物的具体位置，计算机1发送指令给喷药调度中心5，喷药调度中心5指挥无人机6实时给有虫害的农作物喷药，以保证农作物正常生长，此时喷药调度中心5还需根据实时图像监控装置9查看农作物有虫害的具体面积大小，以方便调度中心5控制喷药量，在保证控制虫害的情况下又能不浪费农药，即不会对没有虫害的农作物的土壤产生污染。The implementation process of the present invention is: the GPS positioning device 8 is combined with the real-time image monitoring device 9, and the growth status of the crops collected by the real-time image monitoring device 9 is compared with the information of the normal crops stored in the computer 1. When it is found that the crops have During insect infestation, the growth information of crops during different insect infestation stored in computer 1 is called out for comparison, then the insect information with the highest matching degree is selected, and the specific position of the agricultural crop encountered in insect infestation is positioned by GPS positioning device 8, and computer 1 sends an instruction to the sprayer. The medicine dispatching center 5 and the spraying dispatching center 5 direct the UAV 6 to spray the crops with pests in real time to ensure the normal growth of the crops. At this time, the spraying dispatching center 5 also needs to check the crops with pests according to the real-time image monitoring device 9 The size of the specific area is to facilitate the scheduling center 5 to control the spraying amount, and under the situation of ensuring the control of insect pests, pesticides can not be wasted, that is, the soil of crops without insect pests will not be polluted.
综上所述，本发明提供的一种基于机器视觉业的精准喷药系统，包括计算机1，智能监控终端2、液晶显示装置4和语音提示装置3，所述的智能监控终端2、液晶显示装置4和语音提示装置3均与计算机1相连，所述的智能监控终端2与智能检测装置7相连，所述的智能检测装置7包括GPS定位装置8和实时图像监控装置9，所述的计算机1还与喷药调度中心5相连，所述的喷药调度中心5与无人机6相连。与现有技术相比，将GPS定位装置8与实时图像监控装置9结合，通过实时图像监控装置9采集到农作物的生长状况与计算机1内存储的正常农作物的信息进行比对，当发现农作物有虫害时，调出计算机1内存储的不同虫害时农作物的生长信息进行比对，然后选择吻合度最高的虫害信息，通过GPS定位装置8定位遭遇虫害的农作物的具体位置，计算机1发送指令给喷药调度中心5，喷药调度中心5指挥无人机6实时给有虫害的农作物喷药，以保证农作物正常生长，提高农药的利用率的同时不会对没有虫害的农作物喷药，不会对土壤产生污染，具有环保的益处。In summary, the present invention provides a precision spraying system based on machine vision, comprising a computer 1, an intelligent monitoring terminal 2, a liquid crystal display device 4 and a voice prompt device 3, the intelligent monitoring terminal 2, a liquid crystal display Device 4 and voice prompt device 3 are all connected with computer 1, and described intelligent monitoring terminal 2 is connected with intelligent detection device 7, and described intelligent detection device 7 comprises GPS positioning device 8 and real-time image monitoring device 9, and described computer 1 is also connected with the spraying dispatching center 5, and the spraying dispatching center 5 is connected with the UAV 6. Compared with the prior art, the GPS positioning device 8 is combined with the real-time image monitoring device 9, and the growth status of the crops collected by the real-time image monitoring device 9 is compared with the information of the normal crops stored in the computer 1. When it is found that the crops have During insect infestation, the growth information of crops during different insect infestation stored in computer 1 is called out for comparison, then the insect information with the highest matching degree is selected, and the specific position of the agricultural crop encountered in insect infestation is positioned by GPS positioning device 8, and computer 1 sends an instruction to the sprayer. The medicine dispatching center 5 and the spraying dispatching center 5 command the UAV 6 to spray the crops with pests in real time to ensure the normal growth of the crops, improve the utilization rate of the pesticides, and at the same time not spray the crops without the pests. Soil pollution has environmental benefits.
以上所述仅为本发明的较佳实施例而已，并不用以限制本发明，凡在本发明的精神和原则之内所作的任何修改、等同替换和改进等，均应包含在本发明的保护范围之内。The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present invention should be included in the protection of the present invention. within range.
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| CN201710426276.XACN107168367A (en) | 2017-06-08 | 2017-06-08 | Accurate pesticide spraying system based on machine vision industry |
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| CN201710426276.XACN107168367A (en) | 2017-06-08 | 2017-06-08 | Accurate pesticide spraying system based on machine vision industry |
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| CN107168367Atrue CN107168367A (en) | 2017-09-15 |
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| CN201710426276.XAWithdrawnCN107168367A (en) | 2017-06-08 | 2017-06-08 | Accurate pesticide spraying system based on machine vision industry |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107817736A (en)* | 2017-12-06 | 2018-03-20 | 梁家仪 | A monitoring system for garden diseases and insect pests |
| CN108052544A (en)* | 2017-11-23 | 2018-05-18 | 深圳市中亿远环保科技有限责任公司 | A kind of Harmful prevention detection information system and its implementation |
| CN113448368A (en)* | 2021-06-29 | 2021-09-28 | 东港市远东节水灌溉设备有限公司 | Internet of things intelligent agricultural control detection method and system |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103918636A (en)* | 2014-04-29 | 2014-07-16 | 青岛农业大学 | Intelligent spraying method based on image processing and spraying robot based on image processing |
| CN104238523A (en)* | 2014-09-20 | 2014-12-24 | 无锡北斗星通信息科技有限公司 | Pesticide spraying platform based on image acquisition |
| CN104554726A (en)* | 2014-12-01 | 2015-04-29 | 嵊州领航信息科技有限公司 | Special intelligent unmanned aerial vehicle for agriculture and forestry |
| CN104764533A (en)* | 2015-03-31 | 2015-07-08 | 梁伟 | Intelligent agricultural system based on unmanned aerial vehicle image collecting and thermal infrared imager |
| CN104777763A (en)* | 2015-03-31 | 2015-07-15 | 梁伟 | Intelligent system for agricultural planting |
| CN104865935A (en)* | 2015-03-31 | 2015-08-26 | 梁伟 | Intelligent agricultural system based on unmanned-aerial-vehicle image collection |
| WO2015161352A1 (en)* | 2014-04-22 | 2015-10-29 | Da Costa Goerl Eduardo | Unmanned aerial vehicle (uav) used for agricultural activity and the application of pesticides and fertilizers |
| CN105173085A (en)* | 2015-09-18 | 2015-12-23 | 山东农业大学 | Automatic control system and method for variable pesticide spraying of unmanned aerial vehicle |
| CN105407318A (en)* | 2015-10-29 | 2016-03-16 | 桂林市腾瑞电子科技有限公司 | Intelligent pesticide spraying system |
| CN105446309A (en)* | 2015-12-31 | 2016-03-30 | 西北工业大学 | Agricultural intelligent analysis monitoring system based on IOT (Internet of Things) |
| CN105850930A (en)* | 2016-04-23 | 2016-08-17 | 上海大学 | Early warning system and method of diseases and insect pests based on machine vision |
| CN105954283A (en)* | 2016-05-05 | 2016-09-21 | 信阳师范学院 | Internet-based wheat pest disease prevention and control method |
| CN106200683A (en)* | 2016-07-04 | 2016-12-07 | 广东天米教育科技有限公司 | Unmanned plane plant protection system and plant protection method |
| CN106483978A (en)* | 2016-12-09 | 2017-03-08 | 佛山科学技术学院 | A kind of unmanned machine operation voice guide devices and methods therefor |
| CN106707998A (en)* | 2017-01-05 | 2017-05-24 | 成都思农农业科技有限公司 | Unmanned monitoring system for automatic agricultural production |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015161352A1 (en)* | 2014-04-22 | 2015-10-29 | Da Costa Goerl Eduardo | Unmanned aerial vehicle (uav) used for agricultural activity and the application of pesticides and fertilizers |
| CN103918636A (en)* | 2014-04-29 | 2014-07-16 | 青岛农业大学 | Intelligent spraying method based on image processing and spraying robot based on image processing |
| CN104238523A (en)* | 2014-09-20 | 2014-12-24 | 无锡北斗星通信息科技有限公司 | Pesticide spraying platform based on image acquisition |
| CN104554726A (en)* | 2014-12-01 | 2015-04-29 | 嵊州领航信息科技有限公司 | Special intelligent unmanned aerial vehicle for agriculture and forestry |
| CN104764533A (en)* | 2015-03-31 | 2015-07-08 | 梁伟 | Intelligent agricultural system based on unmanned aerial vehicle image collecting and thermal infrared imager |
| CN104865935A (en)* | 2015-03-31 | 2015-08-26 | 梁伟 | Intelligent agricultural system based on unmanned-aerial-vehicle image collection |
| CN104777763A (en)* | 2015-03-31 | 2015-07-15 | 梁伟 | Intelligent system for agricultural planting |
| CN105173085A (en)* | 2015-09-18 | 2015-12-23 | 山东农业大学 | Automatic control system and method for variable pesticide spraying of unmanned aerial vehicle |
| CN105407318A (en)* | 2015-10-29 | 2016-03-16 | 桂林市腾瑞电子科技有限公司 | Intelligent pesticide spraying system |
| CN105446309A (en)* | 2015-12-31 | 2016-03-30 | 西北工业大学 | Agricultural intelligent analysis monitoring system based on IOT (Internet of Things) |
| CN105850930A (en)* | 2016-04-23 | 2016-08-17 | 上海大学 | Early warning system and method of diseases and insect pests based on machine vision |
| CN105954283A (en)* | 2016-05-05 | 2016-09-21 | 信阳师范学院 | Internet-based wheat pest disease prevention and control method |
| CN106200683A (en)* | 2016-07-04 | 2016-12-07 | 广东天米教育科技有限公司 | Unmanned plane plant protection system and plant protection method |
| CN106483978A (en)* | 2016-12-09 | 2017-03-08 | 佛山科学技术学院 | A kind of unmanned machine operation voice guide devices and methods therefor |
| CN106707998A (en)* | 2017-01-05 | 2017-05-24 | 成都思农农业科技有限公司 | Unmanned monitoring system for automatic agricultural production |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108052544A (en)* | 2017-11-23 | 2018-05-18 | 深圳市中亿远环保科技有限责任公司 | A kind of Harmful prevention detection information system and its implementation |
| CN107817736A (en)* | 2017-12-06 | 2018-03-20 | 梁家仪 | A monitoring system for garden diseases and insect pests |
| CN113448368A (en)* | 2021-06-29 | 2021-09-28 | 东港市远东节水灌溉设备有限公司 | Internet of things intelligent agricultural control detection method and system |
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| TA01 | Transfer of patent application right | Effective date of registration:20180808 Address after:321300 thirty floor, Jin Pin building, Yongkang headquarters, Jinhua, Zhejiang. Applicant after:three front group Co. Ltd. Address before:230000 room 1409, block B, innovation center, 860 Wangjiang West Road, Hefei High-tech Zone, Anhui. Applicant before:HEFEI TECHNOLOGY INNOVATION ENGINEERING INSTITUTE OF CAS Applicant before:Hefei Zhongke Pemba Technology Co. Ltd. Applicant before:three front group Co. Ltd. | |
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| WW01 | Invention patent application withdrawn after publication | Application publication date:20170915 | |
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