CN117541225A - Maintenance detection method, system and storage medium for transplanted tree - Google Patents
Maintenance detection method, system and storage medium for transplanted tree Download PDFInfo
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
Abstract
The application provides a method, a system and a storage medium for detecting maintenance of transplanted trees, wherein the method comprises the following steps: acquiring a root system image of the transplanted tree, judging whether the root system image is a complete root system image of the transplanted tree, and if not, correcting the root system image to obtain the complete root system image of the transplanted tree; analyzing the complete root system image to obtain a variety of the transplanted tree, determining the age of the transplanted tree based on the variety and the complete root system image, obtaining the transplanting time of the transplanted tree, and determining the reference growth environment information range of the transplanted tree from a preset tree library according to the age, variety and transplanting time; acquiring actual growth environment information of the transplanted tree, judging whether the actual growth environment information falls into a reference growth environment information range, if not, determining maintenance information corresponding to the transplanted tree at the current moment, and generating a corresponding maintenance instruction based on the maintenance information. The maintenance and detection system can relieve the problem that the labor cost and timeliness cannot be simultaneously considered in maintenance and detection work.
Description
Technical Field
The application relates to the technical field of maintenance detection, in particular to a method, a system and a storage medium for detecting maintenance of transplanted trees.
Background
Tree transplantation plays an important role in urban greening projects and public space design. By selecting the appropriate trees and plants and transplanting them from a nursery or other location to a city street, park, garden, etc., it is possible to provide a cool, oxygen and beautiful landscape for the city residents.
In order to be able to survive the newly transplanted trees, maintenance is required for a period of time after the tree is transplanted. At present, a professional carries corresponding detection equipment to the positions of the trees, so that the detection equipment is used for completing the maintenance detection work of the transplanted trees. The prior method can complete the maintenance and detection work of the transplanted trees, but not only can generate a great deal of labor cost due to the participation of a great deal of professionals in the whole maintenance stage, but also can not achieve timeliness of the maintenance and detection because each professionals needs to consider a plurality of transplanted trees at the same time. Therefore, the maintenance and detection work of the transplanted tree at the present stage has the problem that the labor cost and timeliness cannot be simultaneously considered.
Disclosure of Invention
In order to solve the problem that labor cost and timeliness cannot be simultaneously considered in maintenance and detection work, the embodiment of the application provides a method, a system and a storage medium for maintenance and detection of transplanted trees.
In a first aspect, the present embodiment provides a method for detecting maintenance of a transplanted tree, where the method includes:
acquiring a root system image of a transplanted tree, judging whether the root system image is a complete root system image of the transplanted tree, and if not, correcting the root system image to obtain the complete root system image of the transplanted tree;
analyzing the complete root system image to obtain a variety of the transplanted tree, determining the age of the transplanted tree based on the variety and the complete root system image, obtaining the transplanting time of the transplanted tree, and determining the reference growth environment information range of the transplanted tree from a preset tree library according to the age, variety and transplanting time;
acquiring actual growth environment information of the transplanted tree, judging whether the actual growth environment information falls into the reference growth environment information range, if not, determining maintenance information corresponding to the transplanted tree at the current moment based on the actual growth environment information and the reference growth environment information range, and generating a corresponding maintenance instruction based on the maintenance information.
In some embodiments, the root system image is a rectangular image with a fixed size, and the determining whether the root system image is a complete root system image of the transplanted tree comprises:
acquiring side sub-images corresponding to other sides, which are not close to the ground, of the root system image, wherein the side sub-images are U-shaped with upward openings, and the left side, the lower side and the right side of the root system image are all the outer sides of the side sub-images;
judging whether a root system exists in the side sub-images, if so, judging that the root system image is not a complete root system image of the transplanted tree;
if not, the root system image is a complete root system image of the transplanted tree.
In some embodiments, each root system image includes a plurality of first-level roots, each first-level root further includes a plurality of non-first-level roots, and modifying the root system image to obtain a complete root system image of the transplanted tree includes:
respectively acquiring each first-level root and contained non-first-level roots from the root system image to obtain a root group corresponding to each first-level root;
respectively correcting each root group by using a root system deep learning model to obtain a complete root group corresponding to the root group;
and acquiring the group numbers corresponding to each root group in the root system image, sorting all complete root groups according to the group numbers corresponding to each root group, and placing the complete root groups in the blank area with the fixed size to obtain the complete root system image of the transplanted tree.
In some of these embodiments, said analyzing said complete root system image to obtain a variety of said transplanted tree comprises:
obtaining a target tree number corresponding to the complete root system image, judging whether a root system image corresponding to the target tree number is generated, if not, obtaining a similarity value of each collected tree root system image stored in a complete root system image and a preset tree library, and determining a variety corresponding to the maximum similarity value in the similarity values as the variety of the transplanted tree;
if yes, obtaining the target variety with the determined target tree number, and determining the target variety as the variety of the transplanted tree.
In some of these embodiments, the determining the age of the transplanted tree based on the variety and the complete root system image comprises:
obtaining the maximum grade contained in the root system in the complete root system image and the average root size corresponding to the root of each grade;
and processing the maximum grade root and the average root size corresponding to each grade root by using a tree age deep learning model corresponding to the variety so as to obtain the tree age of the transplanted tree.
In some embodiments, the actual growing environment information includes, but is not limited to, an actual moisture value, an actual nutrition value, and an actual ventilation value, two environment detection devices are respectively disposed in a north-south direction and a south-south direction of a position where a root system of the transplanted tree is located, four environment detection devices form four vertexes of a rectangle, and the obtaining the actual growing environment information of the transplanted tree includes:
obtaining a moisture value, a nutrient value and an air permeability value obtained by each environment detection device, obtaining an average value of all the moisture values to obtain an actual moisture value of the transplanted tree, obtaining an average value of all the nutrient values to obtain an actual nutrient value of the transplanted tree, and obtaining an average value of all the air permeability values to obtain an actual air permeability value of the transplanted tree.
In some of these embodiments, the method further comprises:
and if the actual growth environment information falls into the reference growth environment information range, generating a maintenance instruction for representing the tree without maintenance.
In a second aspect, the present embodiment provides a maintenance testing system for a transplanted tree, the system comprising: the system comprises an image acquisition module, an information processing module and a maintenance detection module; wherein,
the image acquisition module is used for acquiring root system images of the transplanted trees, judging whether the root system images are complete root system images of the transplanted trees, and if not, correcting the root system images to obtain the complete root system images of the transplanted trees;
the information processing module is used for analyzing the complete root system image to obtain the variety of the transplanted tree, determining the age of the transplanted tree based on the variety and the complete root system image, obtaining the transplanting time of the transplanted tree, and determining the reference growth environment information range of the transplanted tree from a preset tree library according to the age, variety and transplanting time;
the maintenance detection module is used for acquiring actual growth environment information of the transplanted tree, judging whether the actual growth environment information falls into the reference growth environment information range, if not, determining maintenance information corresponding to the transplanted tree at the current moment based on the actual growth environment information and the reference growth environment information range, and generating a corresponding maintenance instruction based on the maintenance information.
In some embodiments, the maintenance detection module is further configured to generate a maintenance instruction indicating that the tree does not need maintenance if the actual growth environment information falls within the reference growth environment information range.
In a third aspect, embodiments of the present application provide a storage medium having stored thereon a computer program executable on a processor, the computer program implementing a method for curing a transplanted tree according to the first aspect when executed by the processor.
By adopting the method, the root system image of the transplanted tree is firstly obtained, whether the root system image is the complete root system image of the transplanted tree is judged, if not, the root system image is modified to obtain the complete root system image of the transplanted tree, and after all, the root system condition of the transplanted tree can be better, clearly and completely reflected only by the complete root system image, so that a foundation is provided for the follow-up more accurate determination of the reference growth environment information range of the transplanted tree. And in the process of obtaining the complete root system image of the transplanted tree, the method does not need to manually carry corresponding equipment to detect the transplanted tree, thereby reducing the dependence on manpower. And each transplanted tree is provided with corresponding equipment, so that corresponding root system images can be timely acquired without damaging the existing growth environment of the transplanted tree, and the transplanted tree can be timely subjected to maintenance detection based on the root system images.
And then analyzing the complete root system image to obtain the variety of the transplanted tree, determining the age of the transplanted tree based on the variety and the complete root system image, obtaining the transplanting time of the transplanted tree, and determining the reference growth environment information range of the transplanted tree from a preset tree library according to the age, variety and transplanting time. Thus, the reference growth environment information of the transplanted tree can be automatically and timely obtained through the complete root system image and related equipment, and the dependence on manpower can be reduced. And finally, acquiring actual growth environment information of the transplanted tree, judging whether the actual growth environment information falls into a reference growth environment information range, if not, determining maintenance information corresponding to the transplanted tree at the current moment based on the actual growth environment information and the reference growth environment information range, and generating a corresponding maintenance instruction based on the maintenance information. The whole maintenance detection work of the transplanted tree is completed by using corresponding equipment, so that the dependence on manpower is reduced, the maintenance detection work of the transplanted tree can be realized in real time, and the problem that the labor cost and timeliness in the maintenance detection work cannot be simultaneously considered can be solved.
Drawings
Fig. 1 is a block diagram of a method for detecting maintenance of a tree after transplanting according to the present embodiment.
Fig. 2 is a schematic diagram of a root system image provided in this embodiment.
Fig. 3 is a block diagram of a corrected root system image provided by the present embodiment to obtain a complete root system image of a transplanted tree.
Fig. 4 is a block diagram of a variety of trees after transplanting, as provided by the present embodiment, analyzing a complete root system image.
Fig. 5 is a schematic structural diagram of a growth environment information range stored in a preset tree library according to the present embodiment.
Fig. 6 is a block diagram of a system for detecting maintenance of a tree after transplanting according to the present embodiment.
Detailed Description
For a clearer understanding of the objects, technical solutions and advantages of the present application, the present application is described and illustrated below with reference to the accompanying drawings and examples. However, it will be apparent to one of ordinary skill in the art that the present application may be practiced without these details. It will be apparent to those having ordinary skill in the art that various changes can be made to the embodiments disclosed herein and that the general principles defined herein may be applied to other embodiments and applications without departing from the principles and scope of the present application. Thus, the present application is not limited to the embodiments shown, but is to be accorded the widest scope consistent with the scope claimed herein.
Embodiments of the present application are described in further detail below with reference to the drawings attached hereto.
Fig. 1 is a block diagram of a method for detecting maintenance of a tree after transplanting according to the present embodiment. As shown in fig. 1, a method for detecting the maintenance of a transplanted tree includes the steps of:
step S100, acquiring a root system image of the transplanted tree, judging whether the root system image is a complete root system image of the transplanted tree, and if not, correcting the root system image to obtain the complete root system image of the transplanted tree.
The transplanted trees in this embodiment are small trees. When a tree transplanted from a nursery or other places needs to be planted in places such as city streets, parks, gardens and the like, pit digging is needed in the place where the transplanted tree is planted again so as to obtain a space for placing the root system of the transplanted tree. The root system image of the transplanted tree is acquired by using a signal transmitting device and a signal receiving device according to the nuclear magnetic resonance principle or the X-ray tomography principle. I.e. the signal transmission device is buried in the pit in the horizontal height range of the pit and at a distance not exceeding a predetermined position, for example, at a position 10 cm from the pit in the horizontal direction and at the middle of the pit in the vertical direction during the pit digging process. And a signal receiving device is placed on the ground where the transplanted tree is planted again. Therefore, after the transplanted tree is planted in the pit, the signal receiving device can acquire the root system image of the transplanted tree based on the frequency of the signal transmitted by the signal transmitting device. Wherein each pit corresponds to a signal transmitting device and a signal receiving device.
After the signal receiving equipment acquires one root system image, the root system image is sent to the signal processing end, so that the signal processing end acquires the root system image of the transplanted tree. The root system image acquired by each signal receiving device is a rectangular image with a fixed size. When the signal processing end is to acquire the root system image of the transplanted tree, the signal processing end can preferentially judge whether the acquired root system image is a complete root system image of the transplanted tree, and after all, the situation of the root system of the transplanted tree can be better, clearly and completely reflected only by the complete root system image, so that a foundation is provided for the follow-up more accurate determination of the reference growth environment information range of the transplanted tree. Wherein, judge whether root system image is the complete root system image of trees after transplanting includes following steps:
step S101, obtaining side sub-images corresponding to other sides, which are not close to the ground, in the root system image, wherein the side sub-images are U-shaped with upward openings, and the left side, the lower side and the right side of the root system image are all the outer sides of the side sub-images.
Step S102, judging whether a root system exists in the side sub-images, and if so, judging that the root system image is not a complete root system image of the transplanted tree.
Step S103, if not, the root system image is a complete root system image of the transplanted tree.
Fig. 2 is a schematic diagram of a root system image provided in this embodiment. As shown in fig. 2, the root system image includes a side sub-image and a non-side sub-image, and the root system image includes a left side, a lower side, a right side, and an upper side. The side sub-image is a U-shaped image with a fixed size and an upward opening, the left outer side of the side sub-image and the root system image share a left side, the lower outer side of the side sub-image and the root system image share a bottom side, and the right outer side of the side sub-image and the root system image share a right side. The side sub-image is positioned on other sides which are not close to the ground, the side sub-image and the upper side of the root system image are not intersected, wherein the other sides are the left side, the lower side and the right side of the root system image. Because the sizes of the root system image and the side sub-image are fixed, and the relative positions of the side sub-images in the root system image are also fixed, the position information of the side sub-images in the root system image can be obtained, and therefore, the side sub-images can be obtained by checking the images in the root system image at the position information of the bottom side sub-images.
And carrying out feature extraction on the obtained side sub-images to obtain feature information in the side sub-images, and judging whether the root system image is a complete root system image of the transplanted tree by judging whether the feature information has feature information representing the root system. Wherein the side sub-image further comprises a left inner side, a lower inner side and a right inner side, the vertical distance between the left inner side and the left outer side of the side sub-image is not more than 1cm, preferably 0.5cm; the vertical distance between the lower inner side and the lower outer side of the side sub-image is not more than 1cm, preferably 0.5cm; the vertical distance between the right inner side and the right outer side of the side sub-image is not more than 1cm, preferably 0.5cm. If the characteristic information representing the root system exists, all the root systems of the transplanted tree are not completely displayed by the root system image, and the root system image is not the complete root system image of the transplanted tree and is an incomplete root system image. If the characteristic information representing the root system is not available, the root system image completely displays all root systems of the transplanted tree, and the root system image is a complete root system image of the transplanted tree.
If the root system image is a complete root system image of the transplanted tree, the root system image is marked as a complete root system image. If the root system image is not the complete root system image of the transplanted tree, the root system image needs to be corrected to obtain the complete root system image of the transplanted tree. The root in each root system image is in a tree structure, namely one root system comprises a plurality of first-level roots, and each first-level root comprises a plurality of non-first-level roots. The first-level roots refer to roots emanating from tree seeds, and as shown in fig. 2, the root system of the transplanted tree has a plurality of first-level roots therein. Non-first level roots include, but are not limited to, second level roots, third level roots, and fourth level roots, the second level roots being roots branching from the first level roots, the third level roots being roots branching from the second level roots, the fourth level roots being roots branching from the third level roots. Fig. 3 is a block diagram of a corrected root system image provided by the present embodiment to obtain a complete root system image of a transplanted tree. As shown in fig. 3, modifying the root system image to obtain a complete root system image of the transplanted tree comprises the steps of:
step S104, each first-level root and the contained non-first-level root are respectively obtained from the root system image, so as to obtain a root group corresponding to each first-level root.
Step S105, each root group is respectively corrected by using the root system deep learning model so as to obtain a complete root group corresponding to the root group.
Step S106, the corresponding group numbers of each root group in the root system image are obtained, all the complete root groups are ordered according to the corresponding group numbers and placed in the blank areas with the fixed sizes, so that the complete root system image of the transplanted tree is obtained.
The root system is divided into a plurality of root groups according to the first-level roots in the root system image of the transplanted tree, wherein each root group is essentially an image, each root group comprises a first-level root and non-first-level roots of a second-level root, a third-level root and a fourth-level root contained in the first-level root, and the number of the root groups is equal to that of the first-level roots of the root system in the transplanted tree. The root system image is processed by using drawing software that can be used to perform matting or segmentation to obtain the same number of root groups as the first level roots.
After the root group corresponding to the root system image is obtained, each root group is respectively sent to the trained root system deep learning model to be used as the input information of the root system deep learning model, so that the complete root group corresponding to the root group is obtained by obtaining the output information of the root system deep learning model. The root system deep learning model is obtained by training a large number of known complete root system images in advance on line, partial root system images which only contain the first few grades of roots but do not contain the second few grades of roots in the complete root system images are obtained by carrying out image cutting or image matting and other operations on the complete root system images used for training, each partial root system image is used as input information, and the complete root system image corresponding to the partial root system image is used as output information to train the root system deep learning model, so that the trained root system deep learning model is finally obtained. The root deep learning model can be one of a convolutional neural network and a generating countermeasure network, but is not limited to only one of the two.
According to the embodiment, each root group corresponding to the root system image is provided with a uniquely determined group number, and the corresponding root groups can be numbered from small to large or from large to small by checking the sequence of the first-level root distance signal sending equipment from small to large so as to obtain the group numbers corresponding to each root group in the root system image. That is, each complete root group corresponding to each root group corresponds to the same group number, and each complete root group is essentially an image. And sequentially carrying out shrinking operation on the complete images corresponding to the group numbers according to the group number sequence arranged in the root system images to be placed in a blank area corresponding to the root system images and having the same size, so as to obtain the complete root system image of the transplanted tree. Wherein, there is a dimension ratio between the root system and the actual root system used for representing the image in each root system image and each complete root system image. For example, corresponding root groups are numbered from small to large in the original root system image in sequence from small to large according to the distance signal sending equipment, so that the group numbers of the root groups from left to right in the root system image are sequentially 1, 2, 3 and 4, and then the obtained complete root system is also sequentially placed in the blank area with the fixed size in sequence from left to right according to the sequence of the group numbers of the root groups of sequentially 1, 2, 3 and 4, so that the complete root system image of the transplanted tree is obtained. Therefore, whether the root system image is a complete root system image or not can enable subsequent processing to the complete root system image with the same size, and complex size corresponding relations caused by different image sizes are reduced. And in the process of obtaining the complete root system image of the transplanted tree, the method does not need to manually carry corresponding equipment to detect the transplanted tree, thereby reducing the dependence on manpower. And each transplanted tree is provided with corresponding equipment, so that corresponding root system images can be timely acquired without damaging the existing growth environment of the transplanted tree, and the transplanted tree can be timely subjected to maintenance detection based on the root system images.
Step S200, analyzing the complete root system image to obtain the variety of the transplanted tree, determining the age of the transplanted tree based on the variety and the complete root system image, obtaining the transplanting time of the transplanted tree, and determining the reference growth environment information range of the transplanted tree from a preset tree library according to the age, variety and transplanting time.
After the complete root system image is obtained, the growth environment required by the normal growth of the transplanted tree can be determined by analyzing the complete root system image. Because the growth environments required by different varieties of trees are different, the variety of the transplanted tree needs to be obtained by analyzing the complete root system image. Fig. 4 is a block diagram of a variety of trees after transplanting, as provided by the present embodiment, analyzing a complete root system image. As shown in fig. 4, analyzing the complete root system image to obtain the variety of the transplanted tree includes the steps of:
step S201, obtaining a target tree number corresponding to the complete root system image, judging whether the root system image corresponding to the target tree number is completed, if not, obtaining a similarity value of the complete root system image and each collected tree root system image stored in a preset tree library, and determining a variety corresponding to the maximum similarity value in the similarity values as the variety of the transplanted tree.
Step S202, if yes, obtaining the target variety with the determined target tree number, and determining the target variety as the variety of the transplanted tree.
Each transplanted tree has a respective unique tree number. The signal receiving device sends the root system image of the transplanted tree and sends the position information of the root system image or the identity information capable of proving the identity of the root system image to the signal processing end, so that the signal processing end obtains the root system image of the transplanted tree and obtains the corresponding position information or the identity information, and the target tree number corresponding to the transplanted tree, namely the target tree number corresponding to the complete root system image, is obtained according to the position information or the identity information. The signal receiving device is used for executing the maintenance detection method of the transplanted tree, and the position information and the identity information of the tree are not changed.
Whether the target tree number is obtained for the first time or not can be checked, and if the target tree number is obtained for the first time, the fact that the root system image corresponding to the target tree number is not generated is indicated. If the target tree number is not acquired for the first time, the root system image corresponding to the target tree number is generated. And when the root system image corresponding to the target tree number is not generated, comparing the similarity between the complete root system image and each collected root system image stored in the preset tree library to obtain a similarity value of the complete root system image and each tree root system image in the tree library, wherein the variety of the tree corresponding to the maximum similarity value in all obtained similarity values is the variety of the transplanted tree. The tree warehouse stores tree root system images of trees which are daily used for planting in places such as urban streets, parks, gardens and the like and varieties corresponding to the trees. When the root system image corresponding to the target tree number is generated, the condition that the target variety corresponding to the target tree number is known is indicated, the target variety with the determined target tree number can be obtained directly by checking the obtained target variety corresponding to the target tree number, and the target variety is determined to be the variety of the transplanted tree. Therefore, the variety of the transplanted tree can be directly obtained through the complete root system graph obtained in the step S100, the variety of the transplanted tree is not required to be obtained through a personnel informing mode, and the dependence on manpower can be reduced; and the variety of the transplanted tree is determined by using the existing equipment and the information obtained in the previous execution process without adding additional equipment, so that the variety of the transplanted tree is timely obtained.
In addition, the growth environment required for transplanted trees of the same variety but different ages is also different, so that the ages of the transplanted trees also need to be determined. Wherein, determining the age of the transplanted tree based on the variety and the complete root system image comprises the following steps:
step S203, obtaining the maximum grade of the root system in the complete root system image and the average root size corresponding to the root of each grade.
Step S204, processing the maximum grade root and the average root size corresponding to each grade root by using the age deep learning model corresponding to the grade to obtain the age of the transplanted tree.
Checking whether the first-level root in the complete root system image has a branched root, if so, the branched root of the first-level root is a second-level root; and checking whether the second-level root in the complete root system image has the branched root or not, if not, the maximum-level root contained in the root system in the complete root system image is the second-level root, if so, the branched root of the second-level root is the third-level root, and then checking whether the third-level root has the branched root or not in turn until the nth-level root has no branched root, stopping checking, and determining the nth-level root as the maximum-level contained in the root system in the complete root system image.
Through the process of obtaining the maximum grade of the root system in the complete root system image, the grade corresponding to each root of the root system in the complete root system image can be obtained, in addition, the size of each root of the root system in the complete root system image can be measured through a measuring device, and average value operation is carried out on the sizes corresponding to the roots of the same grade respectively, so that the average root size corresponding to the roots of each grade is obtained.
And sending the average root size and the maximum grade corresponding to the root system in each grade of root in the complete root system image to the trained tree age deep learning model to serve as input information of the tree age deep learning model, so that the tree age of the transplanted tree is obtained by acquiring output information of the tree age deep learning model. The age deep learning model is obtained by training a large number of trees on line in advance, and the information used for training the large number of trees is the maximum grade of each complete root system image used for training the root system deep learning model and the corresponding average root size of each grade of root. But are not limited to, information used to train the age deep learning model. According to the embodiment, the same complete root system image or certain information in the training root system deep learning model and the tree age deep learning model are used, so that the number of times of obtaining samples of training information can be reduced, and the workload brought by obtaining the samples is saved.
Once the transplanted tree is planted again, the signal transmitting device corresponding to the transplanted tree immediately transmits a signal, the corresponding signal receiving device acquires root system images, and the acquired time for the root system images is transmitted to the signal processing end, so that the signal processing end can obtain the image time corresponding to each root system image, and the transplanted time of the transplanted tree can be obtained by subtracting the image time corresponding to the first root system image from the image time corresponding to the last root system image of the transplanted tree.
The preset tree library also stores the growth environment information range required by each variety of tree along with the transplanting time at different ages. The growth environment information range required by each variety of trees stored in the preset database along with the transplanting time at different ages is obtained by integrating the tree specialists with rich experience with the own working experience and the current latest research results. Fig. 5 is a schematic structural diagram of a growth environment information range stored in a preset tree library according to the present embodiment. As shown in fig. 5, the reference growth environment information range of the transplanted tree can be found by comparing the variety, the tree age and the transplanting time in sequence, so that the reference growth environment information range of the transplanted tree can be determined from a preset tree library by the means of the tree age, the variety and the transplanting time. The method for determining the reference growth environment information range of the transplanted tree can improve the reliability of obtaining the reference growth environment information range on one hand, and on the other hand, the preset tree library is stored in the mode for storage, so that the tree library information can be conveniently expanded later.
Step S300, acquiring actual growth environment information of the transplanted tree, judging whether the actual growth environment information falls into a reference growth environment information range, if not, determining maintenance information corresponding to the transplanted tree at the current moment based on the actual growth environment information and the reference growth environment information range, and generating a corresponding maintenance instruction based on the maintenance information.
After the reference growth environment information range of the transplanted tree is obtained, the actual growth environment information of the transplanted tree is further detected, so that whether the transplanted tree needs maintenance or not is determined by comparing the actual growth environment information with the reference growth environment information range, and the maintenance detection work of the transplanted tree is completed.
The actual growth environment information described above includes, but is not limited to, an actual moisture value, an actual nutrient value, and an actual ventilation value. In the pit digging process at the place where the transplanted tree is planted again, two environment detection devices are respectively arranged in the forward-south direction and the forward-north direction of the position where the root system of the transplanted tree is located, and the four environment detection devices form four vertexes of a rectangle. The method for obtaining the actual growth environment information of the transplanted tree comprises the following steps: obtaining the moisture value, the nutrient value and the ventilation value obtained by each environment detection device, obtaining the average value of all the moisture values to obtain the actual moisture value of the transplanted tree, obtaining the average value of all the nutrient values to obtain the actual nutrient value of the transplanted tree, and obtaining the average value of all the ventilation values to obtain the actual ventilation value of the transplanted tree.
Water and soil loss is easy to cause in the south direction, and water accumulation is easy to cause in the north direction. According to the embodiment, the environment detection device is placed in the north-south direction and the south-south direction, so that the better condition and the worse condition of the soil environment where the root system is located can be considered at the same time. And then obtaining the actual moisture value of the soil where the transplanted tree is located by carrying out an average value operation on all the obtained moisture values. Similarly, the actual nutrient value of the soil where the transplanted tree is located is obtained by averaging all the obtained nutrient values, and the actual ventilation value of the soil where the transplanted tree is located is obtained by averaging all the obtained ventilation values. The actual growth environment information of the transplanted tree is obtained by means of averaging, and the occurrence of inaccurate obtained actual growth environment information caused by using an environment detection device is reduced.
The reference growth environment information range in the above step S200 includes a reference moisture range, a reference nutrient range, and a reference ventilation range. Whether the actual growth environment information falls within the reference growth environment information range is determined by determining whether the actual moisture value falls within the reference moisture range in the reference growth environment information range obtained in the above step S200, determining whether the actual nutrient value falls within the reference nutrient range in the reference growth environment information range obtained in the above step S200, and determining whether the actual ventilation value falls within the reference ventilation range in the reference growth environment information range obtained in the above step S200. If the actual moisture value falls within the reference moisture range and the actual nutrient value falls within the reference nutrient range and the actual ventilation value falls within the reference ventilation range, the actual growth environment information falls within the reference growth environment information range. If at least one of the actual moisture value, the actual nutrient value and the actual ventilation value does not fall within the corresponding reference range, the actual growth environment information does not fall within the reference growth environment information range.
In the case that the actual growth environment information does not fall within the reference growth environment information range, maintenance information corresponding to the actual value that does not fall within the corresponding reference range can be obtained by checking which actual value does not fall within the corresponding reference range, thereby comparing the correspondence between the actual value and the corresponding reference range. For example, if the actual moisture value is less than the minimum value of the reference moisture range, maintenance information requiring watering is generated. And generating corresponding maintenance instructions based on the maintenance information after the maintenance information is obtained, and then issuing the corresponding maintenance instructions to corresponding terminals so as to timely maintain the transplanted tree. If the actual growth environment information falls into the range of the reference growth environment information, a maintenance instruction for representing that the tree does not need maintenance is generated so as to represent that the transplanted tree does not need maintenance. The whole maintenance detection work of the transplanted tree is completed by using corresponding equipment, so that the dependence on manpower is reduced, the maintenance detection work of the transplanted tree can be realized in real time, and the problem that the labor cost and timeliness in the maintenance detection work cannot be simultaneously considered can be solved.
Fig. 6 is a block diagram of a system for detecting maintenance of a tree after transplanting according to the present embodiment. As shown in fig. 6, a maintenance inspection system for transplanted trees includes: the system comprises an image acquisition module, an information processing module and a maintenance detection module.
The image acquisition module is used for acquiring root system images of the transplanted trees, judging whether the root system images are complete root system images of the transplanted trees, and if not, correcting the root system images to obtain the complete root system images of the transplanted trees. The information processing module is used for analyzing the complete root system image to obtain the variety of the transplanted tree, determining the age of the transplanted tree based on the variety and the complete root system image, obtaining the transplanting time of the transplanted tree, and determining the reference growth environment information range of the transplanted tree from a preset tree library according to the age, variety and transplanting time. The maintenance detection module is used for acquiring actual growth environment information of the transplanted tree, judging whether the actual growth environment information falls into a reference growth environment information range, if not, determining maintenance information corresponding to the transplanted tree at the current moment based on the actual growth environment information and the reference growth environment information range, and generating a corresponding maintenance instruction based on the maintenance information. The maintenance detection module is also used for generating a maintenance instruction for representing that the tree does not need maintenance if the actual growth environment information falls into the range of the reference growth environment information.
Other functions executed by the image acquisition module, the information processing module and the maintenance detection module and technical details of the functions are the same as or similar to the corresponding features in the method for detecting the maintenance of the transplanted tree, so that the description is omitted herein.
The present application provides a computer readable storage medium having a computer program stored thereon, which when executed on a computer, enables the computer to perform the relevant content of the foregoing method embodiment for detecting the maintenance of a transplanted tree.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein.
The foregoing is only a partial embodiment of the present application, and it should be noted that, for a person skilled in the art, several improvements and modifications can be made without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (10)
1. A method for detecting maintenance of a tree after transplanting, the method comprising:
acquiring a root system image of a transplanted tree, judging whether the root system image is a complete root system image of the transplanted tree, and if not, correcting the root system image to obtain the complete root system image of the transplanted tree;
analyzing the complete root system image to obtain a variety of the transplanted tree, determining the age of the transplanted tree based on the variety and the complete root system image, obtaining the transplanting time of the transplanted tree, and determining the reference growth environment information range of the transplanted tree from a preset tree library according to the age, variety and transplanting time;
acquiring actual growth environment information of the transplanted tree, judging whether the actual growth environment information falls into the reference growth environment information range, if not, determining maintenance information corresponding to the transplanted tree at the current moment based on the actual growth environment information and the reference growth environment information range, and generating a corresponding maintenance instruction based on the maintenance information.
2. The method of claim 1, wherein the root system image is a rectangular image of a fixed size, and wherein the determining whether the root system image is a complete root system image of the transplanted tree comprises:
acquiring side sub-images corresponding to other sides, which are not close to the ground, of the root system image, wherein the side sub-images are U-shaped with upward openings, and the left side, the lower side and the right side of the root system image are all the outer sides of the side sub-images;
judging whether a root system exists in the side sub-images, if so, judging that the root system image is not a complete root system image of the transplanted tree;
if not, the root system image is a complete root system image of the transplanted tree.
3. The method of claim 2, wherein each root image includes a plurality of first level roots, and wherein each first level root includes a plurality of non-first level roots, and wherein modifying the root image to obtain a complete root image of the transplanted tree comprises:
respectively acquiring each first-level root and contained non-first-level roots from the root system image to obtain a root group corresponding to each first-level root;
respectively correcting each root group by using a root system deep learning model to obtain a complete root group corresponding to the root group;
and acquiring the group numbers corresponding to each root group in the root system image, sorting all complete root groups according to the group numbers corresponding to each root group, and placing the complete root groups in the blank area with the fixed size to obtain the complete root system image of the transplanted tree.
4. The method of claim 1, wherein said analyzing said complete root system image to obtain a variety of said transplanted tree comprises:
obtaining a target tree number corresponding to the complete root system image, judging whether a root system image corresponding to the target tree number is generated, if not, obtaining a similarity value of each collected tree root system image stored in a complete root system image and a preset tree library, and determining a variety corresponding to the maximum similarity value in the similarity values as the variety of the transplanted tree;
if yes, obtaining the target variety with the determined target tree number, and determining the target variety as the variety of the transplanted tree.
5. The method of claim 4, wherein said determining the age of the transplanted tree based on the variety and the complete root system image comprises:
obtaining the maximum grade contained in the root system in the complete root system image and the average root size corresponding to the root of each grade;
and processing the maximum grade root and the average root size corresponding to each grade root by using a tree age deep learning model corresponding to the variety so as to obtain the tree age of the transplanted tree.
6. The method according to claim 1, wherein the actual growing environment information includes, but is not limited to, an actual moisture value, an actual nutrient value, and an actual ventilation value, two environment detection devices are respectively provided in a north-south direction and a south-south direction of a position where a root system of the transplanted tree is located, four environment detection devices form four vertexes of a rectangle, and the acquiring the actual growing environment information of the transplanted tree includes:
obtaining a moisture value, a nutrient value and an air permeability value obtained by each environment detection device, obtaining an average value of all the moisture values to obtain an actual moisture value of the transplanted tree, obtaining an average value of all the nutrient values to obtain an actual nutrient value of the transplanted tree, and obtaining an average value of all the air permeability values to obtain an actual air permeability value of the transplanted tree.
7. The method according to claim 1, wherein the method further comprises:
and if the actual growth environment information falls into the reference growth environment information range, generating a maintenance instruction for representing the tree without maintenance.
8. A post-transplant tree care detection system, the system comprising: the system comprises an image acquisition module, an information processing module and a maintenance detection module; wherein,
the image acquisition module is used for acquiring root system images of the transplanted trees, judging whether the root system images are complete root system images of the transplanted trees, and if not, correcting the root system images to obtain the complete root system images of the transplanted trees;
the information processing module is used for analyzing the complete root system image to obtain the variety of the transplanted tree, determining the age of the transplanted tree based on the variety and the complete root system image, obtaining the transplanting time of the transplanted tree, and determining the reference growth environment information range of the transplanted tree from a preset tree library according to the age, variety and transplanting time;
the maintenance detection module is used for acquiring actual growth environment information of the transplanted tree, judging whether the actual growth environment information falls into the reference growth environment information range, if not, determining maintenance information corresponding to the transplanted tree at the current moment based on the actual growth environment information and the reference growth environment information range, and generating a corresponding maintenance instruction based on the maintenance information.
9. The system of claim 8, wherein the maintenance detection module is further configured to generate a maintenance instruction that characterizes the tree as not requiring maintenance if the actual growth environment information falls within the reference growth environment information range.
10. A computer readable storage medium having stored thereon a computer program executable on a processor, wherein the computer program when executed by the processor implements a method of curing post-implantation trees as claimed in any one of claims 1 to 7.
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