CN113125356A - Red date tree canopy leaf nitrogen vertical distribution detection method based on remote sensing information and agronomic knowledge - Google Patents
Red date tree canopy leaf nitrogen vertical distribution detection method based on remote sensing information and agronomic knowledge Download PDFInfo
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- 244000126002 Ziziphus vulgaris Species 0.000 claims 1
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Abstract
The invention discloses a red date tree canopy leaf nitrogen vertical distribution detection method based on remote sensing information and agricultural knowledge, which is characterized in that canopy nitrogen vertical distribution of different levels is distinguished through distinguishing canopies of different levels and labels, and staff is reminded through remarks on the labels, so that the deviation of the staff when inputting data is prevented, and meanwhile, the optimal vertical distribution state of canopy leaf nitrogen of different levels can be calculated, so that the production intensity can be effectively improved; the data analyzed by the agronomic knowledge are distinguished, the data which belong to the vertical distribution of the canopy nitrogen of different levels are integrated, and the data are made into a line graph or a histogram and other statistical graphs which can be visually expressed.
Description
Technical Field
The invention relates to the technical field of agricultural planting, in particular to a red date tree canopy leaf nitrogen vertical distribution detection method based on remote sensing information and agricultural knowledge.
Background
Because the pollution of the environment is serious at present, the field resource capable of planting crops is in short supply, the climate is changeable in the present seasons, the productivity of the arable field is gradually reduced, the improvement of the productivity of the present arable field is vital to the maintenance of grain safety, in the process of planting the crops, nitrogen is an essential crop nutrient element, the growth and production of the crops not only depend on the quantity of nitrogen absorbed by plants from soil, but also depend on the vertical distribution form of the nitrogen in the canopy to a great extent, the form of the nitrogen in the canopy is improved and adjusted, the production intensity of the crops can be effectively improved, meanwhile, the absorption condition of the crops to the nitrogen can be monitored by utilizing a remote sensing information technology, the method has the advantages of rapidness, no damage, large range and the like, at present, the remote sensing method for the nitrogen content of different levels of leaves of the crop canopy is very limited, and the canopy of different levels can not, therefore, data errors exist, and during data analysis and data comparison in the later period, the canopy leaf nitrogen vertical distribution states of different levels cannot be prepared to be divided into different interval representations, so that the canopy leaf nitrogen vertical distribution states of different levels cannot be visually observed.
The red date tree is a crop, and the red dates naturally grown on the red date tree are edible and bright red and have the effects of nourishing blood and soothing nerves.
Disclosure of Invention
The invention solves the technical problems of overcoming the defects of large data error, inconvenient observation and the like in the prior art and providing the red date tree canopy leaf nitrogen vertical distribution detection method based on remote sensing information and agricultural knowledge. The method for detecting the vertical distribution of the leaf nitrogen of the canopy of the red date tree by using the remote sensing information and the agronomic knowledge has the characteristics of small data error, convenience in observation and the like.
In order to achieve the purpose, the invention provides the following technical scheme: the method for detecting the vertical distribution of leaf nitrogen of the canopy of the red date tree by using remote sensing information and agricultural knowledge comprises the following steps:
step 1: classifying the red date tree crown layers of different levels;
step 2: sequentially detecting reflection information of blue, red and near-red wave bands of the canopy of the red date tree in different layers by utilizing a hyperspectral remote sensing technology;
a. the introduction of the hyperspectral remote sensing technology is mainly different from general remote sensing in that the hyperspectral remote sensing has more wave bands, the wave bands are very narrow and are only less than 12nm, a complete continuous spectrum curve of an observed ground object can be obtained, the spectral resolution is high, the spatial resolution is high, and the spectrum can cover the whole electromagnetic radiation coverage range from visible light to thermal infrared;
b. the hyperspectral remote sensing technology can be applied to the principle of detecting the vertical distribution of the leaf nitrogen of the canopy of a vegetation (red date tree);
and step 3: sorting the classified hyperspectral remote sensing technology detection information;
and 4, step 4: analyzing the integrated data by using agricultural knowledge;
and 5: integrating and comparing the analyzed data;
step 6: the results were obtained.
Preferably, the step 1 is divided into five categories, namely a high-rise category, a middle-rise category and a low-rise category, labels which are prepared in advance and need to be classified are annotated with classification information, and the annotation information on the labels is used for carrying out targeted detection on the perpendicular distribution of the nitrogen of the red date tree canopy leaves at different levels, so that information errors during later data statistics are prevented.
Preferably, the principle in step 2 is that reflection information of blue, red and near-red wave bands of the vegetation canopy can be obviously observed due to the unique spectral characteristics of the vegetation.
Preferably, in step 3, the information detected under different conditions is classified and integrated according to remarks on the labels by using a statistical principle.
Preferably, in the step 4, by analyzing a plurality of sets of data simultaneously, the perpendicular distribution forms of leaf nitrogen in the canopy layers of different levels can be obtained, so that the optimal perpendicular distribution form of leaf nitrogen in the canopy layers of different levels is calculated.
Preferably, the data of each group obtained by analysis in step 5 are made into a line graph and a bar graph so as to facilitate the observation of the distribution of the canopy leaf nitrogen of different levels.
Preferably, the result in step 6 is calculated by the line graph in step 5, and the closer to the top of the red date tree, the more concentrated the nitrogen element distribution.
Compared with the prior art, the invention has the beneficial effects that:
1. when the device is used, the canopy layers of different levels are distinguished, the labels are used for distinguishing, and the remarks on the labels are used for reminding workers, so that the deviation of the workers in data inputting is prevented, and meanwhile, the optimal vertical distribution state of the canopy leaf nitrogen of different levels can be calculated, and the production intensity can be effectively improved;
2. when the method is used, the data analyzed through the agronomic knowledge are distinguished, the data which belong to the vertical distribution of the leaf nitrogen of different levels of the canopy are integrated, and the data are made into a line graph or a column graph and other statistical graphs which can be visually expressed.
Drawings
FIG. 1 is a process flow diagram of the present invention;
FIG. 2 is a table of nitrogen element distribution data according to the present invention;
FIG. 3 is a line graph showing the distribution of nitrogen elements according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: the method for detecting the vertical distribution of leaf nitrogen of the canopy of the red date tree by using remote sensing information and agricultural knowledge comprises the following steps:
step 1: classifying red date tree canopy layers of different levels into five types, namely a high layer, a middle layer and a low layer, performing remark classification information on labels prepared in advance for classification and needing to be used, and performing targeted detection on leaf nitrogen vertical distribution of the red date tree canopy layers of different levels through the remark information on the labels to prevent information errors during later data statistics;
step 2: sequentially detecting reflection information of blue, red and near-red wave bands of the canopy of the red date tree in different layers by utilizing a hyperspectral remote sensing technology;
a. the introduction of the hyperspectral remote sensing technology is mainly different from general remote sensing in that the hyperspectral remote sensing has more wave bands, the wave bands are very narrow and are only less than 12nm, a complete continuous spectrum curve of an observed ground object can be obtained, the spectral resolution is high, the spatial resolution is high, and the spectrum can cover the whole electromagnetic radiation coverage range from visible light to thermal infrared;
b. the hyperspectral remote sensing technology can be applied to the principle of detecting the vertical distribution of the leaf nitrogen of the canopy of vegetation (red date trees), and the principle is that because the vegetation has unique spectral characteristics, the reflection information of blue, red and near-red wave bands of the canopy of vegetation can be obviously observed;
and step 3: sorting the classified hyperspectral remote sensing technology detection information, and classifying and integrating the detected information under different conditions according to remarks on the label by using the principle of statistics;
and 4, step 4: by analyzing the integrated data by utilizing agricultural knowledge and analyzing a plurality of groups of data simultaneously, the method can obtain the different vertical distribution forms of leaf nitrogen in the canopy of different levels, thereby calculating the optimal vertical distribution form of leaf nitrogen in the canopy of different levels;
and 5: integrating and comparing the analyzed data, and making the data of each group obtained by analysis into a line graph and a bar graph so as to observe the nitrogen distribution of the canopy leaves at different levels;
step 6: the result is obtained, and the result is calculated by the line graph in the step 5, and the closer to the top of the red date tree, the more concentrated the nitrogen element distribution is.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. The method for detecting the red date tree canopy leaf nitrogen vertical distribution of remote sensing information and agronomic knowledge comprises the following steps, and is characterized in that:
step 1: classifying the red date tree crown layers of different levels;
step 2: sequentially detecting reflection information of blue, red and near-red wave bands of the canopy of the red date tree in different layers by utilizing a hyperspectral remote sensing technology;
a. the introduction of the hyperspectral remote sensing technology is mainly different from general remote sensing in that the hyperspectral remote sensing has more wave bands, the wave bands are very narrow and are only less than 12nm, a complete continuous spectrum curve of an observed ground object can be obtained, the spectral resolution is high, the spatial resolution is high, and the spectrum can cover the whole electromagnetic radiation coverage range from visible light to thermal infrared;
b. the hyperspectral remote sensing technology can be applied to the principle of detecting the vertical distribution of the leaf nitrogen of the canopy of a vegetation (red date tree);
and step 3: sorting the classified hyperspectral remote sensing technology detection information;
and 4, step 4: analyzing the integrated data by using agricultural knowledge;
and 5: integrating and comparing the analyzed data;
step 6: the results were obtained.
2. The method for detecting red date tree canopy leaf nitrogen vertical distribution of remote sensing information and agronomic knowledge according to claim 1, characterized in that: the method comprises the following steps that step 1, five types of labels are divided, namely a high layer, a middle layer, a low layer and a bottom layer, labels which need to be used in classification are prepared in advance, remark classification information is carried out on the labels, and the remark information on the labels is used for carrying out targeted detection on the leaf nitrogen vertical distribution of the jujube tree canopies at different layers, so that information errors are prevented from occurring during data statistics in the later period.
3. The method for detecting red date tree canopy leaf nitrogen vertical distribution of remote sensing information and agronomic knowledge according to claim 1, characterized in that: the principle in the step 2 is that because the vegetation has unique spectral characteristics, the reflection information of blue, red and near-red wave bands of the vegetation canopy can be obviously observed.
4. The method for detecting red date tree canopy leaf nitrogen vertical distribution of remote sensing information and agronomic knowledge according to claim 1, characterized in that: and 3, classifying and integrating the detected information under different conditions according to remarks on the label by using a statistical principle.
5. The method for detecting red date tree canopy leaf nitrogen vertical distribution of remote sensing information and agronomic knowledge according to claim 1, characterized in that: in the step 4, the vertical distribution forms of the leaf nitrogen in the canopy layers of different levels can be obtained by analyzing a plurality of groups of data simultaneously, so that the optimal vertical distribution form of the leaf nitrogen in the canopy layers of different levels is calculated.
6. The method for detecting red date tree canopy leaf nitrogen vertical distribution of remote sensing information and agronomic knowledge according to claim 1, characterized in that: and 5, making the analyzed data into a line graph and a bar graph so as to observe the nitrogen distribution of the canopy leaves at different levels.
7. The method for detecting red date tree canopy leaf nitrogen vertical distribution of remote sensing information and agronomic knowledge according to claim 1, characterized in that: the result in the step 6 is calculated by the line graph in the step 5, and the closer to the top of the red date tree, the more concentrated the nitrogen element is distributed.
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| CN202110327540.0A CN113125356A (en) | 2021-03-26 | 2021-03-26 | Red date tree canopy leaf nitrogen vertical distribution detection method based on remote sensing information and agronomic knowledge |
| NL2029674A NL2029674B1 (en) | 2021-03-26 | 2021-11-08 | Method for detecting a vertical distribution of leaf nitrogen in red jujube canopies using remote sensing information and agricultural knowledge |
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| CN117274915A (en) * | 2023-11-20 | 2023-12-22 | 广东华茂高科种业有限公司 | Data calculation method and system for monitoring nitrogen content of rice canopy |
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