CN112101198A - Orchard intelligent monitoring method and device - Google Patents
Orchard intelligent monitoring method and device Download PDFInfo
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- CN112101198A CN112101198A CN202010963829.7A CN202010963829A CN112101198A CN 112101198 A CN112101198 A CN 112101198A CN 202010963829 A CN202010963829 A CN 202010963829A CN 112101198 A CN112101198 A CN 112101198A
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Abstract
The invention provides an intelligent orchard monitoring method and device, wherein the intelligent orchard monitoring method comprises the following steps: acquiring monitoring images of target crops in a target area through a plurality of monitoring devices arranged in the target area; wherein, the monitoring equipment is arranged on the holder capable of rotating an angle; uploading the monitoring image to a server, and comparing the monitoring image with a comparison image stored in a preset image library; wherein the contrast image is used for indicating that the target crop has a pest and disease problem; and under the condition that the monitoring image is consistent with the comparison image, marking the monitoring image as a target image, and indicating monitoring equipment corresponding to the target image to acquire an auxiliary monitoring image of the target crop corresponding to the target image from multiple angles under the control of the holder. By the method and the device, the problems of low efficiency and low accuracy of monitoring the insect pests in the orchard in the related technology can be solved, and the effect of efficiently and accurately monitoring the insect pests in the orchard is achieved.
Description
Technical Field
The invention relates to the field of agricultural production, in particular to an intelligent orchard monitoring method and device.
Background
Orchards planted in large areas are often accompanied by the occurrence of more insect pests. For insect pests, on one hand, the insect pests need to be treated in time after the occurrence of the insect pests, and on the other hand, the insect pests need to be monitored in time in an earlier stage so as to form a corresponding treatment strategy. In the prior art, monitoring of insect pests in an orchard often depends on manual inspection, observation and sampling treatment; the above process not only needs to consume considerable manpower and time cost to realize, but also has the high possibility that the current insect pest condition cannot be accurately known due to inaccurate manual monitoring in the monitoring process. Aiming at the problems that in the related art, the efficiency of monitoring the pests in the orchard is too low and the accuracy is low, an effective solution is not provided in the related art.
Disclosure of Invention
The embodiment of the invention provides an intelligent orchard monitoring method and device, which are used for at least solving the problems of low efficiency and low accuracy of insect pest monitoring in an orchard in the related technology.
According to an embodiment of the invention, an intelligent orchard monitoring method is provided, which comprises the following steps:
acquiring monitoring images of target crops in a target area through a plurality of monitoring devices arranged in the target area; wherein, the monitoring equipment is arranged above the holder capable of rotating an angle;
uploading the monitoring image to a server, and comparing the monitoring image with a comparison image stored in a preset image library; wherein the control image is used for indicating that the target crop has a pest and disease problem;
and under the condition that the monitoring image is consistent with the comparison image, marking the monitoring image as a target image, and indicating the monitoring equipment corresponding to the target image to acquire an auxiliary monitoring image of the target crop corresponding to the target image from multiple angles under the control of the holder.
Optionally, the uploading the monitored image to a server, and comparing the monitored image with a comparison image stored in a preset image library includes:
extracting a first feature and a second feature in the monitoring image, wherein the first feature is used for indicating a normal feature of fruit tree growth, and the second feature is used for indicating a feature in the monitoring image except the first feature;
and comparing the second feature with a third feature in the comparison image, and judging that the monitoring image is consistent with the comparison image under the condition that the coincidence rate between the second feature and the third feature reaches a preset first threshold value.
Optionally, the extracting the first feature and the second feature in the monitored image includes:
and comparing the monitoring images acquired in different periods, and marking the characteristic that the contact ratio between the monitoring images in different periods is greater than a preset second threshold value as the first characteristic.
Optionally, the first threshold is 60% and the second threshold is 80%.
According to another embodiment of the present invention, there is also provided an orchard intelligent monitoring device, including:
the monitoring module is used for acquiring monitoring images of target crops in a target area through a plurality of monitoring devices arranged in the target area; wherein, the monitoring equipment is arranged above the holder capable of rotating an angle;
the comparison module is used for uploading the monitoring image to a server and comparing the monitoring image with a comparison image stored in a preset image library; wherein the control image is used for indicating that the target crop has a pest and disease problem;
and the indicating module is used for marking the monitoring image as a target image under the condition that the monitoring image is consistent with the comparison image, and indicating the monitoring equipment corresponding to the target image to acquire an auxiliary monitoring image of the target crop corresponding to the target image from multiple angles under the control of the holder.
According to another embodiment of the present invention, a computer-readable storage medium is also provided, in which a computer program is stored, wherein the computer program is configured to perform the steps of any of the above-described method embodiments when executed.
According to another embodiment of the present invention, there is also provided an electronic device, including a memory in which a computer program is stored and a processor configured to execute the computer program to perform the steps in any of the above method embodiments.
According to the invention, the monitoring images of the target crops in the target area can be obtained through a plurality of monitoring devices arranged in the target area; wherein, the monitoring equipment is arranged above the holder capable of rotating an angle; uploading the monitoring image to a server, and comparing the monitoring image with a comparison image stored in a preset image library; wherein the control image is used for indicating that the target crop has a pest and disease problem; and under the condition that the monitoring image is consistent with the comparison image, marking the monitoring image as a target image, and indicating the monitoring equipment corresponding to the target image to acquire an auxiliary monitoring image of the target crop corresponding to the target image from multiple angles under the control of the holder. Therefore, the invention can solve the problems of low efficiency and low accuracy of monitoring the pests in the orchard in the related technology, so as to achieve the effect of efficiently and accurately monitoring the pests in the orchard.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a flowchart of an intelligent orchard monitoring method according to an embodiment of the present invention;
fig. 2 is a structural block diagram of an intelligent orchard monitoring device according to an embodiment of the invention.
Detailed Description
The invention will be described in detail hereinafter with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
Example 1
The embodiment provides an intelligent orchard monitoring method, and fig. 1 is a flowchart of the intelligent orchard monitoring method provided by the embodiment of the invention; as shown in fig. 1, the intelligent orchard monitoring method in this embodiment includes:
s101, acquiring monitoring images of target crops in a target area through a plurality of monitoring devices arranged in the target area; wherein, the monitoring equipment is arranged above the holder capable of rotating an angle;
s102, uploading the monitoring image to a server, and comparing the monitoring image with a comparison image stored in a preset image library; wherein the control image is used for indicating that the target crop has a pest and disease problem;
s103, under the condition that the monitoring image is consistent with the comparison image, the monitoring image is marked as a target image, and the monitoring equipment corresponding to the target image is indicated to acquire an auxiliary monitoring image of the target crop corresponding to the target image from multiple angles under the control of the holder.
According to the intelligent orchard monitoring method, the monitoring images of the target crops in the target area can be acquired through the monitoring devices arranged in the target area; wherein, the monitoring equipment is arranged above the holder capable of rotating an angle; uploading the monitoring image to a server, and comparing the monitoring image with a comparison image stored in a preset image library; wherein the control image is used for indicating that the target crop has a pest and disease problem; and under the condition that the monitoring image is consistent with the comparison image, marking the monitoring image as a target image, and indicating the monitoring equipment corresponding to the target image to acquire an auxiliary monitoring image of the target crop corresponding to the target image from multiple angles under the control of the holder. Therefore, the method and the device can solve the problems of low efficiency and low accuracy of monitoring the pests in the orchard in the related technology, so as to achieve the effect of efficiently and accurately monitoring the pests in the orchard.
Optionally, the uploading the monitored image to a server, and comparing the monitored image with a comparison image stored in a preset image library includes:
extracting a first feature and a second feature in the monitoring image, wherein the first feature is used for indicating a normal feature of fruit tree growth, and the second feature is used for indicating a feature in the monitoring image except the first feature;
and comparing the second feature with a third feature in the comparison image, and judging that the monitoring image is consistent with the comparison image under the condition that the coincidence rate between the second feature and the third feature reaches a preset first threshold value.
Optionally, the extracting the first feature and the second feature in the monitored image includes:
and comparing the monitoring images acquired in different periods, and marking the characteristic that the contact ratio between the monitoring images in different periods is greater than a preset second threshold value as the first characteristic.
Optionally, the first threshold is 60% and the second threshold is 80%.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
Example 2
This embodiment provides an orchard intelligent monitoring device, and the device is used for realizing above-mentioned embodiment and preferred embodiment, and the repeated description that has already been explained is no longer repeated. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated. Fig. 2 is a block diagram of a structure of an intelligent orchard monitoring device according to an embodiment of the present invention, and as shown in fig. 2, the intelligent orchard monitoring device in this embodiment includes:
the monitoring module 201 is configured to obtain monitoring images of target crops in a target area through a plurality of monitoring devices arranged in the target area; wherein, the monitoring equipment is arranged above the holder capable of rotating an angle;
a comparison module 202, configured to upload the monitored image to a server, and compare the monitored image with a comparison image stored in a preset image library; wherein the control image is used for indicating that the target crop has a pest and disease problem;
an indicating module 203, configured to mark the monitored image as a target image under a condition that the monitored image matches the comparison image, and instruct the monitoring device corresponding to the target image to obtain an auxiliary monitored image of the target crop corresponding to the target image from multiple angles under the control of the pan-tilt.
Optionally, the uploading the monitored image to a server, and comparing the monitored image with a comparison image stored in a preset image library includes:
extracting a first feature and a second feature in the monitoring image, wherein the first feature is used for indicating a normal feature of fruit tree growth, and the second feature is used for indicating a feature in the monitoring image except the first feature;
and comparing the second feature with a third feature in the comparison image, and judging that the monitoring image is consistent with the comparison image under the condition that the coincidence rate between the second feature and the third feature reaches a preset first threshold value.
Optionally, the extracting the first feature and the second feature in the monitored image includes:
and comparing the monitoring images acquired in different periods, and marking the characteristic that the contact ratio between the monitoring images in different periods is greater than a preset second threshold value as the first characteristic.
Optionally, the first threshold is 60% and the second threshold is 80%.
It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in different processors in any combination.
Example 3
Embodiments of the present invention also provide a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to perform the steps of any of the above-mentioned method embodiments when executed.
Alternatively, in this embodiment, the computer-readable storage medium may be configured to store a computer program for executing the method steps recited in the above embodiments:
optionally, in this embodiment, the computer-readable storage medium may include, but is not limited to: various media capable of storing computer programs, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Example 4
Embodiments of the present invention also provide an electronic device comprising a memory having a computer program stored therein and a processor arranged to run the computer program to perform the steps of any of the above method embodiments.
Optionally, the electronic apparatus may further include a transmission device and an input/output device, wherein the transmission device is connected to the processor, and the input/output device is connected to the processor.
Alternatively, in this embodiment, the processor may be configured to execute the method steps recited in the above embodiments through a computer program.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation manners, and this embodiment is not described herein again.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. An intelligent orchard monitoring method is characterized by comprising the following steps:
acquiring monitoring images of target crops in a target area through a plurality of monitoring devices arranged in the target area; wherein, the monitoring equipment is arranged above the holder capable of rotating an angle;
uploading the monitoring image to a server, and comparing the monitoring image with a comparison image stored in a preset image library; wherein the control image is used for indicating that the target crop has a pest and disease problem;
and under the condition that the monitoring image is consistent with the comparison image, marking the monitoring image as a target image, and indicating the monitoring equipment corresponding to the target image to acquire an auxiliary monitoring image of the target crop corresponding to the target image from multiple angles under the control of the holder.
2. The method of claim 1, wherein uploading the monitored image to a server and comparing the monitored image with a reference image stored in a preset image library comprises:
extracting a first feature and a second feature in the monitoring image, wherein the first feature is used for indicating a normal feature of fruit tree growth, and the second feature is used for indicating a feature in the monitoring image except the first feature;
and comparing the second feature with a third feature in the comparison image, and judging that the monitoring image is consistent with the comparison image under the condition that the coincidence rate between the second feature and the third feature reaches a preset first threshold value.
3. The method of claim 2, wherein extracting the first and second features in the monitored image comprises:
and comparing the monitoring images acquired in different periods, and marking the characteristic that the contact ratio between the monitoring images in different periods is greater than a preset second threshold value as the first characteristic.
4. The method of claim 3, wherein the first threshold is 60% and the second threshold is 80%.
5. The utility model provides an orchard intelligent monitoring device which characterized in that includes:
the monitoring module is used for acquiring monitoring images of target crops in a target area through a plurality of monitoring devices arranged in the target area; wherein, the monitoring equipment is arranged above the holder capable of rotating an angle;
the comparison module is used for uploading the monitoring image to a server and comparing the monitoring image with a comparison image stored in a preset image library; wherein the control image is used for indicating that the target crop has a pest and disease problem;
and the indicating module is used for marking the monitoring image as a target image under the condition that the monitoring image is consistent with the comparison image, and indicating the monitoring equipment corresponding to the target image to acquire an auxiliary monitoring image of the target crop corresponding to the target image from multiple angles under the control of the holder.
6. A computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to carry out the method of any one of claims 1 to 4 when executed.
7. An electronic device comprising a memory and a processor, wherein the memory has stored therein a computer program, and wherein the processor is arranged to execute the computer program to perform the method of any of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010963829.7A CN112101198A (en) | 2020-09-14 | 2020-09-14 | Orchard intelligent monitoring method and device |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010963829.7A CN112101198A (en) | 2020-09-14 | 2020-09-14 | Orchard intelligent monitoring method and device |
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| CN112101198A true CN112101198A (en) | 2020-12-18 |
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| CN202010963829.7A Withdrawn CN112101198A (en) | 2020-09-14 | 2020-09-14 | Orchard intelligent monitoring method and device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113189015A (en) * | 2021-04-23 | 2021-07-30 | 宿州学院 | Hyperspectral remote sensing-based insect pest monitoring system and method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113189015A (en) * | 2021-04-23 | 2021-07-30 | 宿州学院 | Hyperspectral remote sensing-based insect pest monitoring system and method |
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Application publication date: 20201218 |
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| WW01 | Invention patent application withdrawn after publication |