CN114373124A - Intelligent detection irrigation method and system - Google Patents
Intelligent detection irrigation method and system Download PDFInfo
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- CN114373124A CN114373124A CN202111500126.1A CN202111500126A CN114373124A CN 114373124 A CN114373124 A CN 114373124A CN 202111500126 A CN202111500126 A CN 202111500126A CN 114373124 A CN114373124 A CN 114373124A
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Abstract
The application discloses an intelligent detection irrigation method and system, which are used for intelligently detecting pomegranate trees and irrigating the pomegranate trees at different frequencies in time, reducing the occurrence of fruit cracking and improving the economic benefit. The method comprises the following steps: acquiring a tree vigor image set of a target pomegranate tree, wherein the tree vigor image set is a shot image of the target pomegranate tree; acquiring a fruit image set of a pomegranate tree, wherein the fruit image set is a historical shooting image of pomegranate in at least one growth stage; determining at least one pomegranate fruit of a target pomegranate tree according to the fruit image set and the tree potential image set; determining a target pomegranate tree growth stage for a target pomegranate tree based on at least one pomegranate fruit; when the growth stage of the target pomegranate tree is a young fruit expansion period, updating the irrigation frequency of the target pomegranate tree to be a land irrigation frequency; and when the growth stage of the target pomegranate tree is a fruit maturity stage, determining to stop irrigation.
Description
Technical Field
The application relates to the technical field of pomegranate planting, in particular to an intelligent detection irrigation method and system.
Background
Pomegranate, a plant of genus punica of family punicaceae, which is deciduous tree or shrub, mainly comprises agate pomegranate, pink pomegranate, green pomegranate, jade pebble and other different varieties, the berry is nearly spherical, the top end has lodging calyx crack, the pericarp is thick, the fruit ripening period is 9-10 months, the exocarp flesh is semitransparent, and is bright red, light red or white and succulent; the endopleura is warm, sour and sweet in nature and taste, and has the effects of killing parasites, astringing intestines, stopping dysentery and the like. The branches in the crown are many, the tender branches have edges and are mostly square, and the small branches are flexible and not easy to break.
The pomegranate fruit cracking is likely to occur in the growth and development and maturation periods of the pomegranate fruit, particularly the pomegranate fruit in the maturation period is more serious, mainly because the epicarp has good ductility in the early development period of the pomegranate fruit, the cracking of the pomegranate fruit can be reduced to a certain extent, and the epicarp tissue of the pomegranate fruit is damaged due to long drought, high temperature, dryness, direct sunlight and other reasons when the fruit is close to the maturation period, so that the pericarp of the pomegranate fruit loses elasticity, the texture becomes crisp, and the meristematic ability becomes weak. The pomegranate fruit is easy to rot after cracking, and the commodity value and the edible value of the pomegranate fruit are reduced and even lost, so that the economic benefit is reduced.
The pomegranate trees are irrigated, the humidity of a planting area is increased in different periods, and pesticides are sprayed in the pomegranate fruit expanding period, so that the occurrence of fruit cracking can be reduced. At present, artificial irrigation is mainly carried out by farmers at each growth period of the pomegranates, but the intelligent degree of the irrigation mode is low, and when the farmers cannot irrigate in time, a large amount of fruit cracking is caused, so that the economic benefit is reduced.
Disclosure of Invention
The application provides an intelligent detection irrigation method and system, which are used for intelligently detecting pomegranate trees and irrigating the pomegranate trees at different frequencies in time, reducing the occurrence of fruit cracking and improving the economic benefit.
The application provides an intelligent detection irrigation method in a first aspect, which comprises the following steps:
acquiring a tree vigor image set of a target pomegranate tree, wherein the tree vigor image set is a shot image of the target pomegranate tree;
acquiring a fruit image set of a pomegranate tree, wherein the fruit image set is a historical shooting image of pomegranate in at least one growth stage;
determining at least one pomegranate fruit of the target pomegranate tree according to the fruit image set and the tree potential image set;
determining a target pomegranate tree growth stage for the target pomegranate tree based on the at least one pomegranate fruit;
when the growth stage of the target pomegranate tree is a young fruit expansion stage, updating the irrigation frequency of the target pomegranate tree to be a land irrigation frequency;
and when the growth stage of the target pomegranate tree is a fruit maturity stage, determining to stop irrigation.
Optionally, after the determining the target pomegranate tree growth stage of the target pomegranate tree from the at least one pomegranate fruit, before the determining to stop the irrigation when the target pomegranate tree growth stage is a fruit maturity stage, the intelligent detection irrigation method further comprises:
and when the growth stage of the target pomegranate tree is a young fruit swelling stage, preparing a target pesticide with a preset concentration and spraying the target pesticide.
Optionally, the determining at least one pomegranate fruit of the target pomegranate tree from the set of fruit images and the set of tree potential images comprises:
extracting pomegranate features of the fruit image set;
extracting plant characteristics from the tree potential image set of the target pomegranate tree;
determining at least one pomegranate fruit of the target pomegranate tree based on the plant characteristic and the pomegranate characteristic.
Optionally, said determining a target pomegranate tree growth stage for the target pomegranate tree from the at least one pomegranate fruit comprises:
performing growth stage statistics on the at least one pomegranate fruit and generating a statistical result;
and determining the growth stage of the target pomegranate tree according to the growth stage with the largest ratio of the number of pomegranate fruits in the statistical result.
Optionally, when the target pomegranate tree growth stage is a fruit maturity stage, before determining to stop irrigation, the intelligent detection irrigation method further includes:
acquiring real-time climate data, wherein the real-time climate data is temperature information and humidity information of a current pomegranate planting area;
judging whether the weather is in the early stage of the rainy season according to the real-time climate data;
and if the real-time climate data judge that the target pomegranate fruit tree is in the early stage of the rainy season, updating the irrigation frequency of the target pomegranate fruit tree to be the crown irrigation frequency.
A second aspect of the present application provides an intelligent detection irrigation system, comprising:
the system comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for acquiring a tree vigor image set of a target pomegranate tree, and the tree vigor image set is a shot image of the target pomegranate tree;
the second acquisition unit is used for acquiring a fruit image set of a pomegranate tree, wherein the fruit image set is a historical shooting image of the pomegranate in at least one growth stage;
a first determining unit, configured to determine at least one pomegranate fruit of the target pomegranate tree according to the fruit image set and the tree potential image set;
a second determining unit for determining a target pomegranate tree growth stage of the target pomegranate tree based on the at least one pomegranate fruit;
the first updating unit is used for updating the irrigation frequency of the target pomegranate tree to be the land irrigation frequency when the growth stage of the target pomegranate tree is a young fruit expansion stage;
and the third determining unit is used for determining to finish irrigation when the growth stage of the target pomegranate tree is a fruit maturity stage.
Optionally, the intelligent detection irrigation system further comprises:
and the preparation unit is used for preparing and spraying target pesticide with preset concentration when the target pomegranate tree growth stage is a young fruit swelling stage.
Optionally, the first determining unit is specifically configured to extract pomegranate features of the fruit image set;
extracting plant characteristics from the tree potential image set of the target pomegranate tree;
determining at least one pomegranate fruit of the target pomegranate tree based on the plant characteristic and the pomegranate characteristic.
Optionally, the second determining unit is specifically configured to perform growth stage statistics on the at least one pomegranate fruit and generate a statistical result;
and determining the growth stage of the target pomegranate tree according to the growth stage with the largest ratio of the number of pomegranate fruits in the statistical result.
Optionally, the intelligent detection irrigation system further comprises:
the third acquisition unit is used for acquiring real-time climate data, wherein the real-time climate data is temperature information and humidity information of the current pomegranate planting area;
the judging unit is used for judging whether the weather is in the early stage of the rainy season according to the real-time climate data;
and the second updating unit is used for updating the irrigation frequency of the target pomegranate fruit tree to be the crown irrigation frequency if the real-time climate data is judged to be in the early stage of the rainy season.
A third aspect of the present application provides an intelligent detection irrigation system comprising:
the system comprises a central processing unit, a memory, an input/output interface, a wired or wireless network interface and a power supply;
the memory is a transient memory or a persistent memory;
the central processor is configured to communicate with the memory and to execute the operations of the instructions in the memory to perform the method of any one of the first aspect of the method and alternatives of the first aspect.
A fourth aspect of the present application provides a computer-readable storage medium comprising instructions which, when executed on a computer, cause the computer to perform the method of any one of the first aspect of the aforementioned method and alternatives of the first aspect.
According to the technical scheme, the method has the following beneficial effects:
in the application, a system acquires a tree vigor image set of a target pomegranate tree, the tree vigor image set is a shot image of the target pomegranate tree, a fruit image set of the pomegranate tree is acquired, the fruit image set is a historical shot image of the pomegranate in at least one growth stage, at least one pomegranate fruit of the target pomegranate tree is determined according to the fruit image set and the tree vigor image set, the target pomegranate tree growth stage of the target pomegranate tree is determined according to the at least one pomegranate fruit, when the target pomegranate tree growth stage is a young fruit expansion stage, the irrigation frequency of the target pomegranate tree is updated to be a land irrigation frequency, and when the target pomegranate tree growth stage is a fruit maturity stage, the irrigation is determined to be stopped. The intelligent pomegranate fruit tree irrigation system does not adopt artificial irrigation, but intelligent detection, and adopts an automatic mode to timely carry out irrigation with different frequencies according to different growth stages of the target pomegranate fruit tree, so that the occurrence of fruit cracking is reduced, and the economic benefit is improved.
Drawings
FIG. 1 is a schematic diagram of the intelligent detection irrigation method of the present application;
FIGS. 2-1 and 2-2 are schematic diagrams of another intelligent detection irrigation method of the present application;
FIG. 3 is a schematic view of an intelligent detection irrigation system of the present application;
FIG. 4 is another schematic view of the intelligent detection irrigation system of the present application;
fig. 5 is another schematic diagram of the intelligent detection irrigation system of the present application.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the drawings in the embodiment of the present invention, and it is obvious that the described embodiment is only a part of the embodiment of the present invention, and not all embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, shall fall within the scope of the present invention.
It should be noted that the intelligent detection irrigation method provided by the application can be applied to a system and can also be applied to a server. For convenience of explanation, the system is taken as an implementation subject in the present application for illustration.
The application provides an intelligent detection irrigation method and system, which are used for intelligently detecting pomegranate trees and timely carrying out irrigation with different frequencies, reducing the occurrence of fruit cracking and improving economic benefits.
Referring to fig. 1, fig. 1 is a schematic flow chart of an embodiment of an intelligent detection irrigation method provided in the present application, the intelligent detection irrigation method including:
101. acquiring a tree potential image set of a target pomegranate tree;
in this embodiment, the system shoots a target pomegranate tree in a planting area through a shooting device, so as to obtain a tree vigor image set of the target pomegranate tree in the planting area, where the tree vigor image set is the shot image set of the target pomegranate tree, the tree vigor image set includes information about the growth condition, the planting environment, the time, the weather condition, and the like of the target pomegranate tree, and the obtaining of the tree vigor image set of the target pomegranate tree mainly aims at determining the pomegranate fruit of the target pomegranate tree according to the tree vigor image set of the target pomegranate tree, which is described in detail below.
The shooting device in this embodiment can be unmanned aerial vehicle shooting device, also can be the high definition camera device of installing in planting the region, and concrete here does not do the restriction.
102. Acquiring a set of fruit images of pomegranate trees;
in this embodiment, after acquiring the set of tree potential images of the target pomegranate tree, the system acquires a set of fruit images of the pomegranate tree from the database, where the set of fruit images is a set of historical captured images of the pomegranate at least one growth stage, for example: if the growth stage of the pomegranate fruit of the pomegranate tree is the expansion stage of the young fruit and the fruit maturity stage in the database, the fruit image set acquired by the system is the image of the expansion stage of the young fruit and the image of the fruit maturity stage.
In this embodiment, the system may obtain the fruit image of the pomegranate tree from the database, and the obtained fruit image may be a database of local resources of the system, or may be a database that is queried by the system through a network access manner, which is not limited herein.
It should be noted that, in the present application, the database storing the set of fruit images of a pomegranate tree is not a single layer, but is updated in real time according to the pomegranate fruit obtained by shooting the pomegranate tree.
103. Determining at least one pomegranate fruit of a target pomegranate tree according to the fruit image set and the tree potential image set;
in this embodiment, after the fruit image set and the tree potential image set are obtained, the system respectively performs feature extraction on the fruit image set and the tree potential image set, and compares the extracted features, so as to determine at least one pomegranate fruit of the target pomegranate tree, where the feature information may include color feature information, shape feature information, or size feature information, and is not limited herein. At least one pomegranate fruit of the target pomegranate tree is determined, mainly for determining the target pomegranate tree growth stage of the target pomegranate tree, so as to determine the irrigation frequency adopted, and further reduce the phenomenon of fruit cracking of the pomegranate fruit, as described in detail below.
104. Determining a target pomegranate tree growth stage for a target pomegranate tree based on at least one pomegranate fruit;
in this embodiment, after determining at least one pomegranate fruit of the target pomegranate tree, the system performs data analysis on the at least one pomegranate fruit to obtain current growth state information of the at least one pomegranate fruit, determines a growth stage of the at least one pomegranate fruit according to the growth state information, performs statistics to generate a statistical result of the growth stage of the at least one pomegranate fruit, and determines the growth stage of the target pomegranate tree according to the growth stage in which the number of the pomegranate fruits is the largest in the statistical result. The specific implementation steps will be further explained in the following examples.
105. When the growth stage of the target pomegranate tree is a young fruit expansion period, updating the irrigation frequency of the target pomegranate tree to be a land irrigation frequency;
in the embodiment, when the growth stage of the target pomegranate tree is determined to be the swelling stage of the young fruit, the temperature is too high and the evaporation speed of water is accelerated because the swelling stage of the pomegranate fruit is generally in high-temperature dry seasons in summer, in the growth stage, the flower buds can be gradually differentiated in the rapid growth and expansion period of the pomegranate fruits, therefore, the demand of water is large, if sufficient water is not supplemented, the flower buds and the pomegranate fruits compete for water to influence the fruit expansion, in the fruit expanding period, the epicarp of pomegranate fruit is relatively good relative to the ductility of the fruit in the fruit maturing period, therefore, a certain amount of water needs to be irrigated, the system updates the irrigation frequency of the target pomegranate tree to be the land irrigation frequency, the land irrigation frequency is from 10 days to 15 days, the land irrigation frequency can be 10 days or 13 days, and the method is not limited in the specific steps. In practical application, farmers can set the land irrigation frequency according to local climatic conditions and the growth state of young fruits.
106. And when the growth stage of the target pomegranate tree is a fruit maturity stage, determining to stop irrigation.
In this embodiment, in the to-be-ripened stage of the pomegranate fruit, due to the reasons of long-term drought, high temperature, dryness, direct sunlight and the like, the epicarp tissue of the pomegranate fruit is damaged, the pericarp loses elasticity, the texture becomes brittle, the meristematic ability becomes weak, and if the pomegranate fruit absorbs a large amount of moisture, the pericarp is easily broken, so that the fruit cracking phenomenon occurs.
In this embodiment, the system obtains a tree vigor image set of a target pomegranate tree, the tree vigor image set is a shot image of the target pomegranate tree, obtains a fruit image set of the pomegranate tree from a database, the fruit image set is a historical shot image of the pomegranate in at least one growth stage, determines at least one pomegranate fruit of the target pomegranate tree according to the fruit image set and the tree vigor image set, determines a target pomegranate tree growth stage of the target pomegranate tree according to the at least one pomegranate fruit, updates an irrigation frequency of the target pomegranate tree to a land irrigation frequency when the target pomegranate tree growth stage is a young fruit expansion stage, and determines to stop irrigation when the target pomegranate tree growth stage is a fruit maturity stage. The intelligent pomegranate fruit tree irrigation system does not adopt artificial irrigation, but intelligent detection, and adopts an automatic mode to timely carry out irrigation with different frequencies according to different growth stages of a target pomegranate fruit tree, so that the occurrence of fruit cracking is reduced, and the economic benefit is improved.
Referring to fig. 2-1 and 2-2, fig. 2-1 and 2-2 are schematic flow charts of another embodiment of the intelligent detection irrigation method provided by the present application, the intelligent detection irrigation method includes:
201. acquiring a tree potential image set of a target pomegranate tree;
202. acquiring a set of fruit images of pomegranate trees;
203. Extracting pomegranate characteristics of the fruit image set;
204. extracting plant characteristics from a tree potential image set of a target pomegranate tree;
205. determining at least one pomegranate fruit of a target pomegranate tree according to the plant characteristics and the pomegranate characteristics;
in this embodiment, after obtaining a set of tree potential images of a target pomegranate tree and obtaining a set of fruit images of the pomegranate tree, the system extracts pomegranate features from the set of fruit images, where the pomegranate features include size features, color features, and the like of pomegranate fruits in historical shooting, extracts plant features from each image in the set of tree potential images of the target pomegranate tree, where the plant features represent pomegranate fruits in the set of tree potential images of a current pomegranate tree planting area, compares the extracted pomegranate features with the plant features to generate a comparison result, and determines at least one pomegranate fruit of the target pomegranate tree according to the comparison result. For example: the system acquires a fruit image A from a fruit image set of a database and extracts pomegranate fruit characteristics from the fruit image A, the extracted pomegranate fruit a1 has the size characteristic of 4 cm in diameter and the color characteristic of cyan, acquires a fruit image B and extracts pomegranate fruit characteristics from the fruit image B, and the extracted pomegranate fruit B1 has the size characteristic of 8 cm in diameter and the color characteristic of yellow-red; and extracting plant characteristics from the tree potential image set of the target pomegranate tree, wherein the plant characteristics extracted from the first tree potential image in the tree potential image set are 101 pomegranate fruits with the diameter of 3 centimeters and the color characteristic of greenish green, and comparing the 101 pomegranate fruits with a pomegranate fruit a1 and a pomegranate fruit b1, so that the 101 pomegranate fruits existing on the target pomegranate tree are determined.
206. Performing growth stage statistics on at least one pomegranate fruit and generating a statistical result;
207. determining the growth stage of the target pomegranate tree according to the growth stage with the largest ratio of the number of pomegranate fruits in the statistical result;
in this embodiment, after determining the pomegranate fruit that exists on the target pomegranate tree, the system carries out the statistics of production stage to the pomegranate fruit that exists on the target pomegranate tree, and generate the statistical result, because the pomegranate fruit receives the influence of environmental factor such as illumination, moisture and pomegranate fruit self factor when growing, cause the growth state of pomegranate fruit to have the difference, some pomegranate fruit is in the growth stage that enlarges, and some pomegranate fruit is in the growth stage that the result is waited to ripen, for making peasant household's economic profit maximize, the growth stage that the pomegranate fruit quantity accounts for the biggest according to the statistical result confirms as the growth stage of target pomegranate fruit tree. For example: the plant features extracted from the first tree potential image in the tree potential image set are pomegranate fruit No. 101 with the diameter of 3 cm and the color feature of greenish, pomegranate fruit No. 102 with the diameter of 4 cm and the color feature of greenish and pomegranate fruit No. 103 with the diameter of 6 cm and the color feature of greenish yellow; the second tree potential image in the tree potential image set extracts the plant characteristics of No. 201 pomegranate fruits with the diameter of 5 cm and the color characteristic of greenish, the No. 202 pomegranate fruits with the diameter of 4 cm and the color characteristic of greenish and the No. 203 pomegranate fruits with the diameter of 7 cm and the color characteristic of yellow-red, and if so, the total of four pomegranate fruits of No. 101 and No. 102 in the first tree potential image and the total of four pomegranate fruits of No. 201 and No. 202 in the second tree potential image are in the expanding growth stage, the total of two pomegranate fruits of No. 103 in the first tree potential image and the total of two pomegranate fruits of No. 203 in the second tree potential image are in the growth stage in which the fruits are to be ripe, and the number of the pomegranate fruits in the expanding growth stage is greater than that of the pomegranate fruits in the growth stage in which the fruits are to be ripe, so that the growth stage of the target pomegranate tree is determined to be the young fruit expanding stage.
208. When the growth stage of the target pomegranate tree is a young fruit expansion period, updating the irrigation frequency of the target pomegranate tree to be a land irrigation frequency;
step 208 in this embodiment is similar to step 105 in the previous embodiment, and is not described herein again.
209. When the growth stage of the target pomegranate tree is a young fruit expansion period, preparing a target pesticide with a preset concentration and spraying the target pesticide;
in this embodiment, when it is determined that the target pomegranate tree growth stage is the young fruit swelling stage, the system updates the irrigation frequency of the target pomegranate tree to land irrigation, and also configures a target pesticide with a preset concentration and sprays the configured pesticide to enhance toughness of the pomegranate fruit peel, thereby achieving the purpose of further reducing fruit cracking. For example: and when the system determines that the target pomegranate tree growth stage is a young fruit expansion stage, automatically preparing 0.3% potassium dihydrogen phosphate solution or 0.5% calcium chloride solution, spraying the prepared 0.3% potassium dihydrogen phosphate solution or 0.5% calcium chloride solution on leaf surfaces for 3 times in a week period, so that the toughness of fruit peels is enhanced, and the effect of reducing fruit cracking is facilitated.
In this embodiment, besides spraying with 0.3% potassium dihydrogen phosphate solution or 0.5% calcium chloride solution, paclobutrazol solution with a concentration of 300mg/L may also be used to spray the foliage of the leaves, and calcium nitrate or other organic calcium fertilizers may also be used, which is not limited herein.
210. Acquiring real-time climate data;
211. judging whether the weather is in the early stage of the rainy season according to the real-time climate data;
212. and if the pomegranate fruit trees are in the early stage of the rainy season, updating the irrigation frequency of the target pomegranate fruit trees to be the crown irrigation frequency.
In this embodiment, when the environmental condition in target planting area is dry in daily life, when failing in time to carry out moisturizing before the rainy season and strengthening the humidity in the target planting area, then the pomegranate fruit can not in time adapt to a large amount of moisture like it is coming, and the pomegranate fruit is easy to appear splitting, therefore when closing on the rainy season, need progressively increase the number of times of irrigating to increase the air humidity in the target planting area, moist peel, strengthen the adaptability of peel to overcast and rainy weather, high humid environment, reduce the appearance of splitting. Whether the system is close to the rainy season is judged mainly by acquiring climate data of a target planting area through a temperature and humidity sensor, the real-time climate data is temperature information and humidity information of the current pomegranate planting area, whether the target planting area is in the early stage of the rainy season is judged according to the real-time climate data, when the target planting area is determined to be in the early stage of the rainy season, the irrigation frequency of a target pomegranate tree is updated to be tree crown irrigation frequency, and the tree crown irrigation frequency is once every 7 to 10 days.
213. And when the growth stage of the target pomegranate tree is a fruit maturity stage, determining to stop irrigation.
Step 213 in this embodiment is similar to step 106 in the previous embodiment, and is not described here again.
In the embodiment, the pomegranate fruit on the pomegranate tree is counted in the growth stage and a statistical result is generated, the growth stage with the largest pomegranate fruit number in the statistical result is determined as the target pomegranate tree growth stage, the irrigation frequency is determined according to the target pomegranate tree growth stage, and the accuracy of irrigation can be improved. Different irrigation frequencies are adopted when the target pomegranate fruit trees are different in growth stage, so that the phenomenon of fruit cracking of pomegranate fruits is reduced. Spraying pesticide on the leaf surface of the target pomegranate tree in the growth stage of the young fruit expansion period to further reduce the occurrence of fruit cracking; in addition, the real-time climate data of the target planting area is analyzed and judged, and when the target planting area is determined to be in the early stage of rainy season, the irrigation frequency of the target pomegranate tree is updated to be the crown irrigation frequency, so that the air humidity in the target planting area is increased, the fruit peel is wetted, the adaptability of the fruit peel to rainy weather and high-humidity environment is enhanced, the fruit cracking is further reduced, and the economic benefit is improved.
Referring to fig. 3, fig. 3 is a schematic flow chart of an embodiment of the intelligent detection irrigation system provided in the present application, the intelligent detection irrigation system including:
a first obtaining unit 301, configured to obtain a tree vigor image set of a target pomegranate tree, where the tree vigor image set is a captured image of the target pomegranate tree;
a second obtaining unit 302, configured to obtain a set of fruit images of a pomegranate tree, where the set of fruit images is a historical captured image of a pomegranate in at least one growth stage;
a first determining unit 303, configured to determine at least one pomegranate fruit of the target pomegranate tree according to the fruit image set and the tree potential image set;
a second determining unit 304 for determining a target pomegranate tree growth stage of the target pomegranate tree based on the at least one pomegranate fruit;
a first updating unit 305 for updating the irrigation frequency of the target pomegranate tree to a land irrigation frequency when the growth stage of the target pomegranate tree is a young fruit swelling stage;
and a third determining unit 306, configured to determine to stop irrigation when the growth stage of the target pomegranate tree is a fruit maturity stage.
Referring to fig. 4, fig. 4 is a schematic flow chart of another embodiment of the intelligent detection irrigation system provided in the present application, the intelligent detection irrigation system includes:
a first obtaining unit 401, configured to obtain a tree vigor image set of a target pomegranate tree, where the tree vigor image set is a captured image of the target pomegranate tree;
a second obtaining unit 402, configured to obtain a set of fruit images of a pomegranate tree, where the set of fruit images is a historical captured image of a pomegranate in at least one growth stage;
a first extraction unit 403, configured to extract pomegranate features of the fruit image set;
a second extraction unit 404, configured to extract plant features from a tree potential image set of a target pomegranate tree;
a first determining unit 405 for determining at least one pomegranate fruit of a target pomegranate tree based on the plant characteristics and the pomegranate characteristics;
the statistical unit 406 is used for performing growth stage statistics on at least one pomegranate fruit and generating a statistical result;
a second determining unit 407, configured to determine, as a target pomegranate tree growth stage, a growth stage where the ratio of the number of pomegranate fruits is the largest in the statistical result;
a first updating unit 408 for updating the irrigation frequency of the target pomegranate tree to be a land irrigation frequency when the growth stage of the target pomegranate tree is a young fruit swelling stage;
the preparation unit 409 is used for preparing and spraying target pesticide with preset concentration when the growth stage of the target pomegranate tree is a young fruit swelling stage;
a third obtaining unit 410, configured to obtain real-time climate data, where the real-time climate data is temperature information and humidity information of a current pomegranate planting area;
the judging unit 411 is used for judging whether the weather is in the early stage of the rainy season according to the real-time climate data;
and a second updating unit 412, configured to update the irrigation frequency of the target pomegranate tree to be the crown irrigation frequency if the target pomegranate tree is in an early stage of a rainy season.
And a third determining unit 413, configured to determine to end irrigation when the growth stage of the target pomegranate tree is a fruit maturity stage.
Referring to fig. 5, fig. 5 is a schematic flow chart of another embodiment of the intelligent detection irrigation system provided in the present application, the intelligent detection irrigation system includes:
a central processing unit 502, a memory 501, an input/output interface 503, a wired or wireless network interface 504 and a power supply 505;
the memory 501 is a transient storage memory or a persistent storage memory;
the central processor 502 is configured to communicate with the memory 501 and execute the operations of the instructions in the memory 501 to perform the steps described in the embodiments of fig. 1, 2-1, and 2-2.
Embodiments of the present application provide a computer-readable storage medium, which includes instructions that, when executed on a computer, cause the computer to perform method embodiments corresponding to the embodiment of fig. 1 or the embodiments of fig. 2-1 and 2-2.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and the like.
Claims (10)
1. An intelligent detection irrigation method, comprising:
acquiring a tree vigor image set of a target pomegranate tree, wherein the tree vigor image set is a shot image of the target pomegranate tree;
acquiring a fruit image set of a pomegranate tree, wherein the fruit image set is a historical shooting image of pomegranate in at least one growth stage;
determining at least one pomegranate fruit of the target pomegranate tree according to the fruit image set and the tree potential image set;
determining a target pomegranate tree growth stage for the target pomegranate tree based on the at least one pomegranate fruit;
when the growth stage of the target pomegranate tree is a young fruit expansion stage, updating the irrigation frequency of the target pomegranate tree to be a land irrigation frequency;
and when the growth stage of the target pomegranate tree is a fruit maturity stage, determining to stop irrigation.
2. The intelligent detection irrigation method as claimed in claim 1, wherein after said determining a target pomegranate tree growth stage for the target pomegranate tree from the at least one pomegranate fruit, prior to determining to stop irrigation when the target pomegranate tree growth stage is a fruit maturity stage, the intelligent detection irrigation method further comprises:
and when the growth stage of the target pomegranate tree is a young fruit swelling stage, preparing a target pesticide with a preset concentration and spraying the target pesticide.
3. The intelligent detection irrigation method of claim 1 wherein said determining at least one pomegranate fruit of the target pomegranate tree from the set of fruit images and the set of tree potential images comprises:
extracting pomegranate features of the fruit image set;
extracting plant characteristics from the tree potential image set of the target pomegranate tree;
determining at least one pomegranate fruit of the target pomegranate tree based on the plant characteristic and the pomegranate characteristic.
4. The intelligent detection irrigation method of claim 1 wherein said determining a target pomegranate tree growth stage for the target pomegranate tree from the at least one pomegranate fruit comprises:
performing growth stage statistics on the at least one pomegranate fruit and generating a statistical result;
and determining the growth stage of the target pomegranate tree according to the growth stage with the largest ratio of the number of pomegranate fruits in the statistical result.
5. The intelligent detection irrigation method as claimed in any one of claims 1 to 4, wherein when the target pomegranate tree growth stage is a fruit maturity stage, then before determining to stop irrigation, the intelligent detection irrigation method further comprises:
acquiring real-time climate data, wherein the real-time climate data is temperature information and humidity information of a current pomegranate planting area;
judging whether the weather is in the early stage of the rainy season according to the real-time climate data;
and if so, updating the irrigation frequency of the target pomegranate tree to be the crown irrigation frequency.
6. An intelligent detection irrigation system, comprising:
the system comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for acquiring a tree vigor image set of a target pomegranate tree, and the tree vigor image set is a shot image of the target pomegranate tree;
the second acquisition unit is used for acquiring a fruit image set of a pomegranate tree, wherein the fruit image set is a historical shooting image of the pomegranate in at least one growth stage;
a first determining unit, configured to determine at least one pomegranate fruit of the target pomegranate tree according to the fruit image set and the tree potential image set;
a second determining unit for determining a target pomegranate tree growth stage of the target pomegranate tree based on the at least one pomegranate fruit;
the first updating unit is used for updating the irrigation frequency of the target pomegranate tree to be the land irrigation frequency when the growth stage of the target pomegranate tree is a young fruit expansion stage;
and the third determining unit is used for determining to finish irrigation when the growth stage of the target pomegranate tree is a fruit maturity stage.
7. The intelligent detection irrigation system as recited in claim 6, further comprising: and the preparation unit is used for preparing and spraying target pesticide with preset concentration when the target pomegranate tree growth stage is a young fruit swelling stage.
8. The intelligent detection irrigation system of claim 6, wherein the first determination unit is specifically:
extracting pomegranate features of the fruit image set;
extracting plant characteristics from the tree potential image set of the target pomegranate tree;
determining at least one pomegranate fruit of the target pomegranate tree based on the plant characteristic and the pomegranate characteristic.
9. The intelligent detection irrigation system of claim 6, wherein the second determination unit is specifically:
performing growth stage statistics on the at least one pomegranate fruit and generating a statistical result;
and determining the growth stage of the target pomegranate tree according to the growth stage with the largest ratio of the number of pomegranate fruits in the statistical result.
10. An intelligent detection irrigation system, comprising:
the system comprises a central processing unit, a memory, an input/output interface, a wired or wireless network interface and a power supply;
the memory is a transient memory or a persistent memory;
the central processor is configured to communicate with the memory and execute the instructions in the memory to perform the intelligent detection irrigation method of any one of claims 1-5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111500126.1A CN114373124A (en) | 2021-12-09 | 2021-12-09 | Intelligent detection irrigation method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111500126.1A CN114373124A (en) | 2021-12-09 | 2021-12-09 | Intelligent detection irrigation method and system |
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| Publication Number | Publication Date |
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| CN114373124A true CN114373124A (en) | 2022-04-19 |
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| CN202111500126.1A Withdrawn CN114373124A (en) | 2021-12-09 | 2021-12-09 | Intelligent detection irrigation method and system |
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| CN (1) | CN114373124A (en) |
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2021
- 2021-12-09 CN CN202111500126.1A patent/CN114373124A/en not_active Withdrawn
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