CN112509029B - Method for remotely analyzing grape growth vigor - Google Patents
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- 235000014787 Vitis vinifera Nutrition 0.000 title claims abstract description 111
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Abstract
The invention provides a method for remotely analyzing grape growth vigor, which adopts a modern method to realize remote monitoring and data analysis of crops; the quantitative digital analysis is adopted, and the change condition of the grape to be detected can be timely and accurately obtained by analyzing the acquired image, so that the scientific early warning and the timely crop growth prompt are carried out, the improper management of crops caused by human negligence and insufficient experience is reduced, and the development of agricultural intelligence is promoted.
Description
Technical Field
The invention relates to the field of agricultural production, in particular to a method for remotely analyzing grape vigor.
Background
Agriculture belongs to a first industry and provides a basic product for supporting national economy construction and development. The farmland monitoring information is an important basis for organizing and guiding agricultural production, the growth and development status of crops is taken as an important content of the farmland monitoring information, and is also a necessary premise for evaluating and forecasting the crop yield, thereby providing a powerful basis for crop scientific management.
How to accurately analyze the growth situation of crops becomes a problem to be solved. China has entered the stage of automatic control of crop growth information acquisition, but scientifically analyzes the acquired data and applies the data, so that the method becomes a necessary path for agricultural intellectualization.
Because of the advantages of high land resource utilization rate, convenience for large-scale agricultural automatic mechanical production, high production efficiency and the like, large-scale concentrated planting has become a main trend of agricultural development. However, the large-scale concentrated planting relates to a large crop planting area, and the seeding, fertilizing and harvesting are all performed by adopting mechanized equipment, if the crop is inspected by manpower alone, due to the difference of experience and the limited manpower, the situation of lag growth of a local area is difficult to find, and timely remediation cannot be performed, so that the production steps are blindly advanced, the yield is reduced, and the economic benefit is reduced. If the manual inspection force is simply increased, the cost is increased too much. And the growth of crops can not be well recorded, which is difficult to reasonably and scientifically study and affects the development of agricultural technology. So that we can see the importance of a system for remote analysis of crop growth.
The Chinese patent CN103913124A provides an automatic monitoring system for the appearance quality of fruits, and a paper titled "research on an image processing method of a micro root system" discloses a plant root system parameter measurement algorithm, and the system and the method used cannot timely and accurately record and reflect the growth situation of the grapes, so that the method special for remotely analyzing the growth situation of the grapes is beneficial to promoting the production and development of grape planting.
Disclosure of Invention
In order to solve the technical problems, the invention mainly provides a method for remotely analyzing grape growth vigor.
The invention provides the following technical scheme:
a method for remotely analyzing grape vigor comprising the steps of:
s1: shooting the specified positions of the grapes to be detected at a plurality of different positions in a grape garden to obtain images of the specified positions of the grapes to be detected;
s2: processing each image of the designated part of the grape to be detected, which is acquired in the step S1;
s2-1: initializing parameters for each image, including: determining the basic color and the basic diameter H of a specified part of the grape, the basic color and the standard size C of a starting point indicator A and a terminal point indicator B, the basic color of a background plate, and determining the color difference range G of the three basic colors;
s2-2: calculating the corresponding actual area S of a single pixel according to the total number n of pixel points occupied by the single starting point indicator or the end point indicator in the image and the standard sizes C of the starting point indicator A and the end point indicator B;
s2-3: scanning all pixels in the image of the designated part of the new grape to be detected line by line, and recording the pixels;
s2-4: determining the range occupied by the indicator in the image by analyzing the positions of color blocks formed by continuous pixels, wherein the uppermost line of pixels in the range is an upper boundary, the lowermost line of pixels is a lower boundary, the leftmost line is a left boundary, the rightmost line is a right boundary, and four boundaries form a rectangular frame to determine the positions and the ranges of the left indicator or the right indicator;
s2-5: calculating the average diameter phi of the specified part of the grape to be detected according to the diameters of the left end point h1, the right end point h2 and the middle point h3 of the specified part of the grape to be detected, so as to calculate the relative length L of the specified part of the grape to be detected; the expression of the relative length L of the specified part of the grape to be detected is as follows:
wherein D is the total area of pixels occupied by the specified part of the grape to be detected in the image, and phi is the average diameter of the specified part of the grape to be detected;
the expression of the total area D of the pixels occupied by the specified part of the grape to be detected in the image is as follows:
D＝mS
wherein m is the total number of single pixels occupied by the specified part of the grape to be detected in the image, and S is the actual area corresponding to the single pixels;
the expression of the actual area S corresponding to the single pixel is as follows:
wherein, C is the standard size of a single starting point indicator A and an end point indicator B, and n is the total number of pixels occupied by the single starting point indicator A or the end point indicator B in the image;
s3: analyzing the designated part of the grape to be tested according to each piece of image data recorded in S2Is determined by the growth condition Q i And is matched with growth condition data Q corresponding to normal growth period s And comparing, and judging whether the situation of too fast or too slow growth occurs.
Further, the color difference range G is: g is more than or equal to 0 and less than or equal to 10.
Further, the range of the specified part of the grape to be measured is determined by determining the left and upper boundaries of the starting point indicator a and the right and lower boundaries of the end point indicator B, and if several crops are detected, the boundaries between them are coincident, the several crops will be regarded as the same crop.
Further, the average diameter phi expression of the designated part of the grape to be detected is as follows:
wherein phi is h1 、φ h2 、φ h3 The diameters of a left endpoint h1, a right endpoint h2 and a middle point h3 of the designated part of the grape to be detected are respectively corresponding.
Further, the designated part of the grape to be detected is the stem of the grape.
Further, shooting time of the specified positions of the grapes to be detected at different positions is consistent.
Further, the growth condition Q of the grape to be tested i The method comprises the following steps:
wherein phi is the average diameter of the appointed part of the grape to be detected, L is the relative length of the appointed part of the grape to be detected, T is the growth stage of the grape to be detected, K is the normal growth index of the grape to be detected in the corresponding growth stage, Q S The grape to be measured corresponds to the normal growth condition of the growth stage.
Further, the method also comprises a step S4;
s4: recording grape growth conditions according to all the shooting images S3Condition Q j J=1, 2 … q, and the grape growth difference Z was analyzed to determine whether there was uneven area growth in the vineyard.
Further, the vineyard growth difference Z is specifically:
wherein Q is the total number of grapes to be detected, p is a difference threshold value, Q 1 、Q 2 ，…，Q q Respectively the growth conditions of the first to the Q-th grapes to be measured, Q s The grape to be measured corresponds to the normal growth condition of the growing period.
The invention has the beneficial effects that: the invention provides a method for remotely analyzing crop growth; the analysis method is quantitative digital analysis, and can timely and accurately obtain the change condition of the grape to be detected, so that scientific early warning and timely crop growth prompt are carried out; the intelligent agricultural intelligent management system is beneficial to reducing the improper management of crops caused by human negligence and insufficient experience, thereby promoting the development of agricultural intelligent.
Drawings
FIG. 1 is a system architecture diagram of a method of remotely analyzing grape vigor of the present invention;
FIG. 2 is a flow chart of image information processing of a method of remotely analyzing grape vigor of the present invention;
FIG. 3 is a system schematic diagram of a method of remotely analyzing grape vigour according to the present invention.
Detailed Description
The system for the method for remotely analyzing the grape growth comprises an image acquisition module, a communication transmission module, a data analysis module, a data storage module and a control module;
the control module controls the image acquisition module to shoot the appointed part of the grape to be detected; the image acquisition module transmits the acquired image information to the data analysis module through the communication transmission module, and the communication transmission module adopts a wireless transmission mode; the data analysis module processes and analyzes the acquired image information under the control of the control module, and outputs the acquired image and the analysis result of the data analysis module to the data storage module for storage; thereby the control module determines the crop growth condition according to the analysis result;
the image acquisition module adopts an EKGC100 of a samsung GalaxyCamera series;
the communication transmission module adopts a Hua 4G module ME909S;
the data analysis module adopts Hua Cheng Hai Si Hi3519V101;
the data storage module adopts a MKDV8GIL-AS 8Gb SD NAND industrial grade;
the control module adopts STM32F103RCT6.
A method for remotely analyzing crop growth, comprising the steps of:
s1: shooting the specified positions of the grapes to be tested at a plurality of different positions in a grape garden, obtaining the specified positions of the grapes to be tested, and transmitting the images of the specified positions of the grapes to be tested to a data analysis module through a communication transmission module; the designated part of the knife groove grape is the stem part of the grape;
s2: the data analysis module processes each image of the designated part of the grape to be detected, which is acquired in the step S1;
s2-1: for each image, initializing parameters including: determining the basic color and the basic diameter H of a specified part of the grape, the basic color and the standard size C of a starting point indicator A and a terminal point indicator B, the basic color of a background plate, and determining the color difference range G of the three basic colors;
the indicator is a clamp for sticking a table tennis ball, the clamp is specifically an eastern household A555 clamp, and the clamp is green; the places of the table tennis with trademarks are stickup places, the table tennis is white, two indicators are provided, one is used as a starting point indicator A, the other is used as an end point indicator B, and the colors of the two table tennis are the same; a sponge can be arranged at the position of the clamp for clamping the grape vine, so that the grape vine is prevented from being damaged by the clamp, and the grape vine is prevented from being influenced by the clamp, and the sponge is particularly giant cloud MS-01; the starting point indicator A and the end point indicator B are used for marking the range of the specified position of the grape vine to be detected, and the indicator cannot influence the growth condition of the specified position of the grape vine to be detected; the background plate is a green plastic plate, and the setting direction of the background plate is parallel to the growth direction of the grape to be tested, so as to prevent the background plate from affecting the growth of crops and further affecting the test result; the reasonable color difference range of the basic color of the designated part of the grape vine to be detected, the basic color of the starting point indicator A and the basic color of the end point indicator B and the basic color of the background plate is more than or equal to 0 and less than or equal to 10;
s2-2: calculating the corresponding actual area S of a single pixel according to the total number n of pixel points occupied by the single starting point indicator or the single end point indicator in the image and the standard sizes C of the starting point indicator and the single end point indicator; the expression of the actual area S corresponding to the single pixel is as follows:
s2-3: scanning all pixels in the image of the designated part of the new grape vine to be detected line by line, recording the pixels, and judging whether the color of the pixels is similar to that of the designated part of the grape vine to be detected, an indicator or a background plate;
s2-4: determining the range occupied by the indicator in the image by analyzing the positions of color blocks formed by continuous pixels, wherein the uppermost line of pixels in the range is an upper boundary, the lowermost line of pixels is a lower boundary, the leftmost line is a left boundary, the rightmost line is a right boundary, and four boundaries form a rectangular frame to determine the positions and the ranges of the left indicator or the right indicator;
the range of the specified part of the grape to be detected is determined by determining the left boundary and the upper boundary of the starting point indicator and the right boundary and the lower boundary of the end point indicator, and if a plurality of sections of crops are detected and the boundaries between the crops are overlapped, the sections of crops are regarded as the same crop plant;
s2-5: according to the corresponding diameters phi of the left endpoint h1, the right endpoint h2 and the midpoint h3 of the specified part of the grape vine to be detected h1 、φ h2 、φ h3 Calculating the average diameter phi of the designated part of the grape vine to be detected; the average diameter phi expression of the specified part of the grape vine to be detected is as follows:
obtaining the total area D of the pixels occupied by the specified part of the grape vine to be detected in the image according to the total number m of the single pixels occupied by the specified part of the grape vine to be detected in the image and the actual area S corresponding to the single pixels; the expression of the total area D of the pixels occupied by the specified part of the grape vine to be detected in the image is as follows:
D=mS
obtaining the relative length L of the specified part of the grape vine to be detected according to the total area D of the pixels occupied by the specified part of the grape vine to be detected in the image and the average diameter phi of the specified part of the grape vine to be detected; the expression of the relative length L of the specified part of the grape vine to be detected is as follows:
s3: according to the average diameter phi of the specified part of the grape to be detected, the relative length L of the specified part of the grape to be detected, the growth stage T, the growth index K of the grape corresponding to the normal growth period, and the growth condition Q of the grape corresponding to the normal growth period S Obtaining the growth condition Q of the grape to be detected i The method comprises the steps of carrying out a first treatment on the surface of the The grape growth condition Q to be measured i The expression is as follows:
wherein the grape to be measured corresponds to the normal growth condition Q of the growing period S The value range of W is less than or equal to Q S ≤M；
If the grape growth condition Q to be measured i If the growth condition of the grape to be detected is smaller than W, the growth condition of the grape to be detected is too slow; uploading the growth condition to a control module and a data storage module;
if the grape growth condition Q to be measured i If the grape growth condition is larger than M, the grape growth condition to be measured is too fast; uploading the growth condition to a control module and a data storage module;
s4: recording growth conditions Q according to all the shooting images in the step S3, analyzing the growth difference Z, and judging whether the situation of unbalanced regional growth exists in the vineyard;
total number Q of grapes to be measured, difference threshold p, growth conditions Q corresponding to first to Q-th grapes to be measured respectively 1 、Q 2 ，…，Q q The grape to be measured corresponds to the normal growth situation Q of the growing period s Obtaining a growth difference Z; the difference Z of growth vigor is expressed as follows:
wherein the value range of the growth difference Z is H.ltoreq.Z.ltoreq.N, and 0.ltoreq.Z;
if |Q j -Q s And if the I is not less than N, the situation of unbalanced area growth exists in the vineyard, and the information of the area growth situation of the vineyard is uploaded to the control module and the data storage module.
The present invention has been described in terms of the preferred embodiments thereof, and it should be understood by those skilled in the art that various modifications can be made without departing from the principles of the invention, and such modifications should also be considered as being within the scope of the invention.
Claims (3)
1. A method for remotely analyzing grape vigor comprising the steps of:
s1: shooting the specified positions of the grapes to be detected at a plurality of different positions in a grape garden to obtain images of the specified positions of the grapes to be detected;
s2: processing each image of the designated part of the grape to be detected, which is acquired in the step S1;
s2-1: initializing parameters for each image, including: determining the basic color and the basic diameter H of a specified part of the grape to be detected, the basic color and the standard size C of a starting point indicator A and a terminal point indicator B, the basic color of a background plate, and determining the color difference range G of the three basic colors;
s2-2: calculating the corresponding actual area S of a single pixel according to the total number n of pixel points occupied by the single starting point indicator or the end point indicator in the image and the standard sizes C of the starting point indicator A and the end point indicator B;
s2-3: scanning all pixels in the image of the designated part of the new grape to be detected line by line, and recording the pixels;
s2-4: determining the range occupied by the indicator in the image by analyzing the positions of color blocks formed by continuous pixels, wherein the uppermost line of pixels in the range is an upper boundary, the lowermost line of pixels is a lower boundary, the leftmost line is a left boundary, the rightmost line is a right boundary, and four boundaries form a rectangular frame to determine the positions and the ranges of the left indicator or the right indicator;
s2-5: calculating the average diameter phi of the specified part of the grape to be detected according to the diameters of the left end point h1, the right end point h2 and the middle point h3 of the specified part of the grape to be detected, so as to calculate the relative length L of the specified part of the grape to be detected; the expression of the relative length L of the specified part of the grape to be detected is as follows:
wherein D is the total area of pixels occupied by the specified part of the grape to be detected in the image, and phi is the average diameter of the specified part of the grape to be detected;
the expression of the total area D of the pixels occupied by the specified part of the grape to be detected in the image is as follows:
D＝mS
wherein m is the total number of single pixels occupied by the specified part of the grape to be detected in the image, and S is the actual area corresponding to the single pixels;
the expression of the actual area S corresponding to the single pixel is as follows:
wherein, C is the standard size of a single starting point indicator A and an end point indicator B, and n is the total number of pixels occupied by the single starting point indicator A or the end point indicator B in the image;
s3: analyzing the determined growth condition Q of the specified part of the grape to be detected according to each piece of image data recorded in the step S2 i And is matched with growth condition data Q corresponding to normal growth period s Comparing, and judging whether the situation of too fast or too slow growth occurs;
the color difference range G is as follows: g is more than or equal to 0 and less than or equal to 10;
the range of the specified part of the grape to be detected is determined by determining the left boundary and the upper boundary of the starting point indicator A and the right boundary and the lower boundary of the end point indicator B, and if a plurality of sections of crops are detected and the boundaries between the crops are overlapped, the sections of crops are regarded as the same crop;
the average diameter phi expression of the specified part of the grape to be detected is as follows:
wherein phi is h1 、φ h2 、φ h3 The diameters of a left endpoint h1, a right endpoint h2 and a middle point h3 of the designated part of the grape to be detected are respectively corresponding to the diameters;
the designated part of the grape to be detected is the stem part of the grape;
shooting time of the specified positions of the grapes to be detected at different positions is consistent;
the growth condition Q of the grape to be detected i The method comprises the following steps:
wherein phi is the average diameter of the designated part of the grape to be measured, L is the relative length of the designated part of the grape to be measured, T is the growth stage of the grape to be measured, K is the growth index of the grape to be measured, Q s The grape to be measured corresponds to the normal growth condition of the growing period.
2. The method for remote analysis of grape vigor according to claim 1, further comprising step S4;
s4: recording grape growth conditions Q according to all the shooting images S3 j J=1, 2 … q, and the grape growth difference Z was analyzed to determine whether there was uneven area growth in the vineyard.
3. The method for remotely analyzing grape vigour according to claim 2, wherein the grape vigour difference Z is specifically:
wherein Q is the total number of grapes to be detected, p is a difference threshold value, Q 1 、Q 2 ，…，Q q Respectively the growth conditions of the first to the Q-th grapes to be measured, Q s The grape to be measured corresponds to the normal growth condition of the growing period.
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