Method and system for sketching tobacco field and measuring mu based on satellite plot

Abstract

The invention discloses a tobacco field sketching mu measuring method and system based on a satellite plot, and the method comprises the following steps: S1, obtaining satellite remote sensing image data, carrying out the preprocessing of the satellite remote sensing image data, receiving the satellite remote sensing image data, and generating a base map of a tobacco field. The method has higher accuracy and practicability, satellite remote sensing image data are deeply analyzed and processed by introducing a deep learning algorithm, the tobacco field and non-tobacco field areas can be automatically identified and distinguished, manual intervention is greatly reduced, the automation degree of measurement is improved, and meanwhile, according to the actual layout and measurement requirements of the tobacco field, the measurement accuracy is greatly improved. And block merging and segmentation processing and two modes of automatic measurement and fixed-point measurement are provided, so that the measurement is more flexible and accurate. Therefore, not only is the measurement precision improved, but also the measurement period is remarkably shortened, and the working efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of tobacco field delineation and acreage measurement, and in particular to a method and system for tobacco field delineation and acreage measurement based on satellite plots. Background Art

[0002] In agriculture, especially tobacco cultivation, accurate measurement of tobacco field area is crucial for crop planting planning, yield forecasting, resource allocation, and subsequent farmland management. Traditional tobacco field area measurement methods, such as manual field measurement or the use of simple measuring tools, are not only time-consuming and labor-intensive, but also easily affected by external factors such as terrain and weather, resulting in low measurement accuracy. With the rapid development of satellite remote sensing technology, satellite remote sensing imagery data has provided a new approach for accurate tobacco field area measurement. Satellite remote sensing imagery, with its high resolution, large-area coverage, and rapid acquisition, enables large-scale, high-precision monitoring of tobacco field plots. However, relying solely on satellite remote sensing imagery data is not sufficient to directly obtain accurate tobacco field area information. Professional image processing and analysis techniques are required to pre-process, analyze, and process the image data to extract useful tobacco field plot information. To overcome the shortcomings of traditional measurement methods and improve the accuracy and efficiency of tobacco field area measurement, satellite plot-based tobacco field measurement methods have emerged in recent years. This method combines advanced technologies such as satellite remote sensing, image processing, and geographic information systems (GIS) to achieve rapid and accurate measurement of tobacco fields. However, existing methods for measuring tobacco fields using satellite plots still have some practical problems, such as insufficient image data preprocessing, inaccurate tobacco field plot delineation, and a single measurement model. These problems make them difficult to apply to plots of varying shapes and cannot guarantee the accuracy of measurement data. These issues affect the accuracy and practicality of measurement results. Summary of the Invention

[0003] The object of the present invention is to provide a method and system for measuring the acreage of tobacco fields based on satellite plots, so as to solve the problems that still exist in the actual application of the existing method for measuring the acreage of tobacco fields based on satellite plots proposed in the above background technology, such as insufficiently precise image data preprocessing, inaccurate tobacco field plot division, single measurement mode, etc., which are difficult to apply to plots of any shape and cannot ensure the accuracy of measurement data. These problems all affect the accuracy and practicality of the measurement results.

[0004] To achieve the above object, the present invention provides the following technical solution: a method for measuring the acreage of tobacco fields based on satellite plots, comprising the following steps:

[0005] S1, acquiring satellite remote sensing image data, preprocessing the satellite remote sensing image data, and generating a base map of the tobacco field by receiving the satellite remote sensing image data;

[0006] S2. Introducing deep learning algorithms to analyze and process the base map of tobacco fields;

[0007] S3. Provide block merging and segmentation processing based on the actual layout and measurement requirements of the tobacco field, and divide the tobacco field into blocks;

[0008] S4, comparing the divided tobacco field consistent blocks with the standard blocks and adjusting the ratio, and quickly obtaining the area of ​​each block based on the area of ​​the standard block;

[0009] S5. Measure the shape and area of ​​the divided blocks, and divide the measurement mode into automatic measurement and fixed-point measurement;

[0010] S6; obtaining block shape and area information according to the measurement;

[0011] S7. Provides real-time feedback on measurement results when measuring shape and area, allowing users to adjust and optimize measurement strategies in a timely manner during the measurement process;

[0012] S8. Delineate the blocks, and summarize the areas of the delineated blocks to obtain the overall area of ​​the tobacco field;

[0013] S9. The acquired tobacco field information is stored in a database. The tobacco field information includes location, shape, and area. The database supports data query, analysis, and export functions to facilitate subsequent management and decision-making by users.

[0014] S10. After summarizing the tobacco field area, statistical and analysis functions are provided, including visual display, measurement report generation, and calculation of area percentage and change trend to support tobacco field management and decision-making.

[0015] Preferably, the step of acquiring satellite remote sensing image data and preprocessing the satellite remote sensing image data in S1, and generating a base map of the tobacco field by receiving the satellite remote sensing image data specifically comprises the following steps:

[0016] A1. Acquire satellite remote sensing image data and pre-process the satellite remote sensing image data by removing clouds, removing noise, and enhancing contrast.

[0017] A2. Receive satellite remote sensing image data and process and analyze it to accurately generate a detailed base map of the tobacco fields.

[0018] Preferably, the introduction of a deep learning algorithm in S2 to analyze and process the base map of the tobacco field specifically includes the following steps:

[0019] S21. Introduce advanced deep learning algorithms to conduct in-depth analysis and fine processing of tobacco field base maps generated by received satellite remote sensing image data;

[0020] S22. It is capable of automatically identifying and distinguishing tobacco fields from non-tobacco field areas such as roads, rivers, and buildings.

[0021] Preferably, the block merging and segmentation processing is provided in S3 according to the actual layout and measurement requirements of the tobacco field, and the division of the tobacco field into blocks specifically includes the following steps:

[0022] S31. According to the actual layout and measurement requirements of the tobacco field;

[0023] S32. Combine large, continuous, and similarly shaped tobacco fields into one block for measurement, and then divide the block into consistent blocks;

[0024] S33. For tobacco fields with complex shapes that require more meticulous management, more detailed segmentation is carried out.

[0025] Preferably, the step S4 of comparing the divided tobacco field consistent blocks with the standard blocks and adjusting the ratios to quickly obtain the area of ​​each block based on the area of ​​the standard block specifically includes the following steps:

[0026] S41, adjusting the image scale and obtaining the area of ​​a known standard block;

[0027] S42, comparing each consistent block generated after dividing the tobacco field with a known standard block;

[0028] S43, adjusting the size ratio of the consistent block and the known standard block to be consistent;

[0029] S44. By knowing the area size of the standard block, the area of ​​each consistent block after division is quickly obtained.

[0030] Preferably, the step of measuring the shape and area of ​​the divided blocks in S5 and dividing the measurement mode into automatic measurement and fixed-point measurement specifically includes the following steps:

[0031] S51, measuring the shape and area of ​​the block, and dividing the measurement mode into automatic measurement and fixed-point measurement;

[0032] S52, automatic measurement mode is suitable for tobacco fields with regular shapes and clear boundaries, and can complete measurements quickly and accurately;

[0033] S53, the fixed-point measurement mode is suitable for tobacco fields with irregular shapes and complex boundaries. Measurement accuracy is ensured by manually selecting key points.

[0034] Preferably, the delineation of the block in S8 specifically includes the following steps:

[0035] S81. Use remote sensing image processing software to manually or automatically delineate tobacco fields based on feature information on the image;

[0036] S82. When manually outlining, the plot boundary should be delineated based on obvious features, such as roads, rivers, and ridges.

[0037] S83,Automatic delineation relies on object classification and deep learning,algorithms for automatic delineation.

[0038] Preferably, the step of summarizing the areas of the delineated blocks to obtain the overall area of ​​the tobacco field in S8 specifically comprises the following steps:

[0039] S801. Import the plot vector data into the GIS software;

[0040] S802. Use the area calculation function of the GIS software to measure the area of ​​each plot and summarize it to obtain the total area.

[0041] Preferably, after summarizing the tobacco field area in S10, statistical and analysis functions are provided, including visual display, measurement report generation, and calculation of area proportion and change trend, to support tobacco field management and decision-making, specifically including the following steps:

[0042] S101. After the overall area of ​​the tobacco field is obtained, area statistics and analysis functions are provided;

[0043] S102. Calculate the area proportion and area change trend of different blocks to provide data support for tobacco field management and decision-making;

[0044] S103: Visually display the acquired tobacco field information in the form of charts and maps, and automatically generate a detailed measurement report.

[0045] A tobacco field measurement system based on satellite plot mapping includes a satellite data acquisition module, a block division module, a shape and area measurement module, a mapping module, an area calculation module, an area statistics module, an area cloud sharing module, and a cloud sharing verification module.

[0046] The satellite data acquisition module is used to acquire satellite remote sensing image data and perform cloud removal, noise removal, and contrast enhancement on the satellite remote sensing image data;

[0047] The block division module is used to divide the tobacco field blocks;

[0048] The shape and area measurement module is used to measure the shape and area of ​​the divided blocks;

[0049] The delineation module is used to delineate the blocks and visually display the areas of each delineated block;

[0050] The area calculation module is used to calculate the area of ​​each block after delineation and summarize the area of ​​the tobacco field;

[0051] The area statistics module is used to count and analyze the tobacco field area, including calculating the area proportion of different blocks and area change trends;

[0052] The area cloud sharing module is used to upload the acquired tobacco field area information to the cloud server to achieve data sharing and access;

[0053] The cloud sharing verification module is used to verify and review the tobacco field area information uploaded to the cloud to ensure the accuracy and legitimacy of the data.

[0054] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

[0055] Compared with the existing technology, the beneficial effects of the present invention are: compared with the existing acreage measurement technology, the present invention has higher accuracy and practicality. This method introduces a deep learning algorithm to conduct in-depth analysis and processing of satellite remote sensing image data, which can automatically identify and distinguish tobacco fields from non-tobacco fields, greatly reducing manual intervention and improving the degree of automation of measurement. At the same time, according to the actual layout of the tobacco field and measurement requirements, it provides block merging and segmentation processing, as well as automatic measurement and fixed-point measurement modes, making the measurement more flexible and accurate. This not only improves the accuracy of the measurement, but also significantly shortens the measurement cycle and improves work efficiency. After the measurement is completed, the present invention can store the acquired tobacco field information in a database and support data query, analysis and export functions. Users can intuitively understand the distribution, area and change trend of the tobacco field through the visual display function. In addition, the system can also automatically generate detailed measurement reports, providing strong data support for tobacco field management and decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the embodiments or the description of the prior art. Obviously, the drawings described below are merely exemplary, and those skilled in the art can, without inventive effort, derive other implementation drawings based on the provided drawings.

[0057] Figure 1 Schematic diagram of the steps of the method of the present invention. DETAILED DESCRIPTION

[0058] Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present disclosure. Rather, they are merely examples of devices consistent with certain aspects of the present disclosure, as detailed in the appended claims.

[0059] The following will be combined with the accompanying drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0060] See also Figure 1 As shown, a method for measuring the acreage of tobacco fields based on satellite plots according to an embodiment of the present invention includes the following steps:

[0061] S1, acquiring satellite remote sensing image data, preprocessing the satellite remote sensing image data, and generating a base map of the tobacco field by receiving the satellite remote sensing image data;

[0062] S2. Introducing deep learning algorithms to analyze and process the base map of tobacco fields;

[0063] S3. Provide block merging and segmentation processing based on the actual layout and measurement requirements of the tobacco field, and divide the tobacco field into blocks;

[0064] S4, comparing the divided tobacco field consistent blocks with the standard blocks and adjusting the ratio, and quickly obtaining the area of ​​each block based on the area of ​​the standard block;

[0065] S5. Measure the shape and area of ​​the divided blocks, and divide the measurement mode into automatic measurement and fixed-point measurement;

[0066] S6; obtaining block shape and area information according to the measurement;

[0067] S7. Provides real-time feedback on measurement results when measuring shape and area, allowing users to adjust and optimize measurement strategies in a timely manner during the measurement process;

[0068] S8. Delineate the blocks, and summarize the areas of the delineated blocks to obtain the overall area of ​​the tobacco field;

[0069] S9. The acquired tobacco field information is stored in a database. The tobacco field information includes location, shape, and area. The database supports data query, analysis, and export functions to facilitate subsequent management and decision-making by users.

[0070] S10. After summarizing the tobacco field area, statistical and analysis functions are provided, including visual display, measurement report generation, and calculation of area percentage and change trend to support tobacco field management and decision-making.

[0071] The steps of acquiring satellite remote sensing image data and preprocessing the satellite remote sensing image data in S1 and generating a base map of the tobacco field by receiving the satellite remote sensing image data specifically include the following steps:

[0072] A1. Acquire satellite remote sensing image data and pre-process the satellite remote sensing image data by removing clouds, removing noise, and enhancing contrast.

[0073] A2. Receive satellite remote sensing image data and process and analyze it to accurately generate detailed base maps of tobacco fields;

[0074] Through cloud removal, denoising and contrast enhancement processing, the quality of satellite remote sensing image data has been effectively improved, providing a clearer and more accurate image basis for subsequent analysis. The satellite remote sensing image data that has been carefully processed and analyzed can accurately generate a detailed base map of the tobacco field, laying a solid foundation for subsequent measurement work.

[0075] The introduction of deep learning algorithms in S2 to analyze and process the tobacco field base map specifically includes the following steps:

[0076] S21. Introduce advanced deep learning algorithms to conduct in-depth analysis and fine processing of tobacco field base maps generated by received satellite remote sensing image data;

[0077] S22, can automatically identify and distinguish tobacco fields from non-tobacco fields such as roads, rivers, and buildings;

[0078] The introduced deep learning algorithm can deeply analyze and finely process the tobacco field base map, automatically identify and accurately distinguish tobacco fields from non-tobacco field areas such as roads, rivers, and buildings, greatly improving the accuracy and efficiency of plot identification.

[0079] Among them, S3 provides block merging and segmentation processing based on the actual layout and measurement requirements of the tobacco field. The specific steps of dividing the tobacco field into blocks include:

[0080] S31. According to the actual layout and measurement requirements of the tobacco field;

[0081] S32. Combine large, continuous, and similarly shaped tobacco fields into one block for measurement, and then divide the block into consistent blocks;

[0082] S33. For tobacco fields with complex shapes that require more detailed management, more detailed segmentation is performed;

[0083] According to the actual layout of the tobacco field and measurement requirements, flexible block merging and splitting processing is provided to make the block division more reasonable and facilitate subsequent measurement and management.

[0084] Among them, S4 compares the divided tobacco field consistent blocks with the standard blocks and adjusts the ratio to quickly obtain the area of ​​each block based on the standard block area, which specifically includes the following steps:

[0085] S41, adjusting the image scale and obtaining the area of ​​a known standard block;

[0086] S42, comparing each consistent block generated after dividing the tobacco field with a known standard block;

[0087] S43, adjusting the size ratio of the consistent block and the known standard block to be consistent;

[0088] S44, quickly obtaining the areas of each consistent block after division based on the known area size of the standard block;

[0089] By comparing and adjusting with standard blocks, the area of ​​each block can be quickly obtained, which simplifies the measurement process and improves measurement efficiency.

[0090] In S5, the shape and area of ​​the divided blocks are measured, and the measurement mode is divided into automatic measurement and fixed-point measurement. The specific steps include:

[0091] S51, measuring the shape and area of ​​the block, and dividing the measurement mode into automatic measurement and fixed-point measurement;

[0092] S52, automatic measurement mode is suitable for tobacco fields with regular shapes and clear boundaries, and can complete measurements quickly and accurately;

[0093] S53, fixed-point measurement mode is suitable for tobacco fields with irregular shapes and complex boundaries. It ensures measurement accuracy by manually selecting key points.

[0094] It distinguishes between automatic measurement and fixed-point measurement modes, and adopts the most appropriate measurement strategy for tobacco fields of different shapes and boundary complexity, ensuring the accuracy and flexibility of measurement.

[0095] The delineation of the block in S8 specifically includes the following steps:

[0096] S81. Use remote sensing image processing software to manually or automatically delineate tobacco fields based on feature information on the image;

[0097] S82. When manually outlining, the plot boundary should be delineated based on obvious features, such as roads, rivers, and ridges.

[0098] S83,Automatic delineation relies on object classification and deep learning,algorithms for automatic delineation.

[0099] The process of summarizing the areas of the delineated blocks in S8 to obtain the overall area of ​​the tobacco field specifically includes the following steps:

[0100] S801. Import the plot vector data into the GIS software;

[0101] S802. Using the area calculation function of the GIS software, measure the area of ​​each plot and summarize it to obtain the total area;

[0102] By using remote sensing image processing software for manual or automatic delineation and combining it with the area calculation function of GIS software, we can quickly summarize the area of ​​the delineated blocks and obtain the overall area of ​​the tobacco field, greatly improving work efficiency.

[0103] After summarizing the tobacco field area in S10, statistical and analytical functions are provided, including visual display, measurement report generation, and calculation of area percentage and change trends to support tobacco field management and decision-making. The specific steps include:

[0104] S101. After the overall area of ​​the tobacco field is obtained, area statistics and analysis functions are provided;

[0105] S102. Calculate the area proportion and area change trend of different blocks to provide data support for tobacco field management and decision-making;

[0106] S103, visually displaying the acquired tobacco field information in the form of charts and maps, and automatically generating a detailed measurement report;

[0107] After summarizing the overall area of ​​the tobacco fields, it provides a wealth of area statistics and analysis functions, including area percentage, area change trend, etc., providing strong data support for tobacco field management and decision-making. At the same time, through visual display methods such as charts and maps, as well as automatically generated detailed measurement reports, the data is made more intuitive and easy to understand, making it easier for users to quickly understand and use the measurement results.

[0108] A tobacco field measurement system based on satellite plot mapping includes a satellite data acquisition module, a block division module, a shape and area measurement module, a mapping module, an area calculation module, an area statistics module, an area cloud sharing module, and a cloud sharing verification module.

[0109] The satellite data acquisition module is used to acquire satellite remote sensing image data and perform cloud removal, noise removal, and contrast enhancement on the satellite remote sensing image data;

[0110] The block division module is used to divide tobacco fields into blocks;

[0111] The shape and area measurement module is used to measure the shape and area of ​​the divided blocks;

[0112] The drawing module is used to draw the blocks and visualize the areas of each block after drawing;

[0113] The area calculation module is used to calculate the area of ​​each block after drawing and summarize it to get the overall area of ​​the tobacco field;

[0114] The area statistics module is used to count and analyze the tobacco field area, including calculating the area proportion of different blocks and area change trends;

[0115] The area cloud sharing module is used to upload the acquired tobacco field area information to the cloud server to realize data sharing and access;

[0116] The cloud sharing verification module is used to verify and review tobacco field area information uploaded to the cloud to ensure the accuracy and legality of the data;

[0117] The area cloud sharing module uploads the acquired tobacco field area information to the cloud server, realizing data sharing and access, facilitating data exchange and collaborative work between different departments or personnel. The cloud sharing verification module verifies and reviews the uploaded data, ensuring the accuracy and legality of the data, and avoiding potential risks caused by data errors or illegal access. By integrating advanced satellite remote sensing technology and cloud computing technology, it realizes the precise measurement of tobacco field area and cloud management of data, providing strong support for the development of agricultural informatization and intelligence, providing a scientific basis for agricultural planning, policy formulation, etc., and promoting the sustainable development of the agricultural industry.

[0118] A method for measuring the acreage of tobacco fields based on satellite plots includes the following steps:

[0119] S1. Acquire satellite remote sensing image data, pre-process the satellite remote sensing image data, remove clouds, remove noise, and enhance contrast, receive the satellite remote sensing image data, process and analyze it, and accurately generate a detailed base map of the tobacco field;

[0120] S2. Introducing advanced deep learning algorithms to conduct in-depth analysis and fine-tuning of tobacco field base maps generated from received satellite remote sensing image data, enabling automatic identification and differentiation of tobacco fields from non-tobacco field areas such as roads, rivers, and buildings.

[0121] S3. Based on the actual layout of the tobacco fields and measurement requirements, large, continuous, and similarly shaped tobacco fields are combined into one block for measurement, and the block is divided into individual consistent blocks. For tobacco fields with complex shapes that require more detailed management, more detailed segmentation is performed;

[0122] S4. Adjust the image ratio and obtain the area of ​​the known standard block, compare each consistent block generated after the tobacco field is divided with the known standard block, adjust the ratio of the consistent block to the known standard block to be consistent, and quickly obtain the area of ​​each consistent block after division based on the area of ​​the known standard block;

[0123] S5. Measure the shape and area of ​​the block. The measurement mode is divided into automatic measurement and fixed-point measurement. The automatic measurement mode is suitable for tobacco fields with regular shapes and clear boundaries, and can complete the measurement quickly and accurately. The fixed-point measurement mode is suitable for tobacco fields with irregular shapes and complex boundaries. The key points are manually selected for measurement to ensure the accuracy of the measurement.

[0124] S6; obtaining block shape and area information according to the measurement;

[0125] S7. Provides real-time feedback on measurement results when measuring shape and area, allowing users to adjust and optimize measurement strategies in a timely manner during the measurement process;

[0126] S8. Use remote sensing image processing software to manually or automatically delineate tobacco field plots based on feature information from the image. Manual delineation requires depicting the obvious features of the plot boundaries, such as roads, rivers, and ridges. Automatic delineation relies on object classification and deep learning algorithms. Import the delineated plot vector data into the GIS software, use the area calculation function of the GIS software to measure the area of ​​each plot, and summarize the total area.

[0127] S9. The acquired tobacco field information is stored in a database. The tobacco field information includes location, shape, and area. The database supports data query, analysis, and export functions to facilitate subsequent management and decision-making by users.

[0128] S10. After the overall area of ​​the tobacco field is obtained, area statistics and analysis functions are provided to calculate the area proportion and area change trend of different blocks, provide data support for tobacco field management and decision-making, visualize the obtained tobacco field information in the form of charts and maps, and automatically generate detailed measurement reports.

[0129] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

[0130] Other embodiments of the present disclosure will readily occur to those skilled in the art after considering the specification and practicing the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, and the true scope of the present disclosure is indicated by the following claims.

Claims

1. A method for measuring tobacco fields based on satellite plots, characterized in that: The following steps are involved: S1, acquiring satellite remote sensing image data, preprocessing the satellite remote sensing image data, and generating a base map of the tobacco field by receiving the satellite remote sensing image data; S2. Introducing deep learning algorithms to analyze and process the base map of tobacco fields; S3. Provide block merging and segmentation processing based on the actual layout and measurement requirements of the tobacco field, and divide the tobacco field into blocks; S4, comparing the divided tobacco field consistent blocks with the standard blocks and adjusting the ratio, and quickly obtaining the area of ​​each block based on the area of ​​the standard block; S5. Measure the shape and area of ​​the divided blocks, and divide the measurement mode into automatic measurement and fixed-point measurement; S6; obtaining block shape and area information according to the measurement; S7. Provides real-time feedback on measurement results when measuring shape and area, allowing users to adjust and optimize measurement strategies in a timely manner during the measurement process; S8. Delineate the blocks, and summarize the areas of the delineated blocks to obtain the overall area of ​​the tobacco field; S9. The acquired tobacco field information is stored in a database. The tobacco field information includes location, shape, and area. The database supports data query, analysis, and export functions to facilitate subsequent management and decision-making by users. S10. After summarizing the tobacco field area, statistical and analysis functions are provided, including visual display, measurement report generation, and calculation of area percentage and change trend to support tobacco field management and decision-making.

2. The method for measuring acres of tobacco fields based on satellite plots according to claim 1, characterized in that: The step of acquiring satellite remote sensing image data and preprocessing the satellite remote sensing image data in S1 to generate a base map of a tobacco field by receiving the satellite remote sensing image data specifically includes the following steps: A1. Acquire satellite remote sensing image data and pre-process the satellite remote sensing image data by removing clouds, removing noise, and enhancing contrast. A2. Receive satellite remote sensing image data and process and analyze it to accurately generate a detailed base map of the tobacco fields.

3. The method for measuring acres of tobacco fields based on satellite plots according to claim 2, characterized in that: The introduction of the deep learning algorithm in S2 to analyze and process the base map of the tobacco field specifically includes the following steps: S21. Introduce advanced deep learning algorithms to conduct in-depth analysis and fine processing of tobacco field base maps generated by received satellite remote sensing image data; S22. It is capable of automatically identifying and distinguishing tobacco fields from non-tobacco field areas such as roads, rivers, and buildings.

4. The method for measuring acreage of tobacco fields based on satellite plots according to claim 3, characterized in that: According to the actual layout and measurement requirements of the tobacco field, block merging and segmentation processing is provided in S3. The tobacco field is divided into blocks, which specifically includes the following steps: S31. According to the actual layout and measurement requirements of the tobacco field; S32. Combine large, continuous, and similarly shaped tobacco fields into one block for measurement, and then divide the block into consistent blocks; S33. For tobacco fields with complex shapes that require more meticulous management, more detailed segmentation is carried out.

5. The method for measuring acres of tobacco fields based on satellite plots according to claim 4, characterized in that: The step S4 of comparing the divided tobacco field consistent blocks with the standard blocks and adjusting the ratios to quickly obtain the area of ​​each block based on the area of ​​the standard block specifically includes the following steps: S41, adjusting the image scale and obtaining the area of ​​a known standard block; S42, comparing each consistent block generated after dividing the tobacco field with a known standard block; S43, adjusting the size ratio of the consistent block and the known standard block to be consistent; S44. By knowing the area size of the standard block, the area of ​​each consistent block after division is quickly obtained.

6. The method for measuring acres of tobacco fields based on satellite plots according to claim 5, characterized in that: The step S5 measures the shape and area of ​​the divided blocks and divides the measurement mode into automatic measurement and fixed-point measurement, which specifically includes the following steps: S51, measuring the shape and area of ​​the block, and dividing the measurement mode into automatic measurement and fixed-point measurement; S52, automatic measurement mode is suitable for tobacco fields with regular shapes and clear boundaries, and can complete measurements quickly and accurately; S53, the fixed-point measurement mode is suitable for tobacco fields with irregular shapes and complex boundaries. Measurement accuracy is ensured by manually selecting key points.

7. The method for measuring acres of tobacco fields based on satellite plots according to claim 6, characterized in that: Delineating the block in S8 specifically includes the following steps: S81. Use remote sensing image processing software to manually or automatically delineate tobacco fields based on feature information on the image; S82. When manually outlining, the plot boundary should be delineated based on obvious features, such as roads, rivers, and ridges. S83. Automatic delineation relies on object classification and deep learning algorithms for automatic delineation.

8. The method for measuring acres of tobacco fields based on satellite plots according to claim 7, characterized in that: Summarizing the areas of the delineated blocks to obtain the overall area of ​​the tobacco field in S8 specifically includes the following steps: S801. Import the drawn land parcel vector data into GIS software; S802: Use the area calculation function of GIS software to measure the area of ​​each plot and summarize it to obtain the total area.

9. The method for measuring acres of tobacco fields based on satellite plots according to claim 8, characterized in that: After summarizing the tobacco field area in S10, statistical and analytical functions are provided, including visual display, measurement report generation, and calculation of area percentage and change trend, to support tobacco field management and decision-making. Specifically, the following steps are included: S101. After the overall area of ​​the tobacco field is obtained, area statistics and analysis functions are provided; S102. Calculate the area proportion and area change trend of different blocks to provide data support for tobacco field management and decision-making; S103: Visually display the acquired tobacco field information in the form of charts and maps, and automatically generate a detailed measurement report.

10. A tobacco field measurement system based on satellite plots, characterized in that: It includes satellite data acquisition module, block division module, shape and area measurement module, delineation module, area calculation module, area statistics module, area cloud sharing module and cloud sharing verification module; The satellite data acquisition module is used to acquire satellite remote sensing image data and perform cloud removal, noise removal, and contrast enhancement on the satellite remote sensing image data; The block division module is used to divide the tobacco field blocks; The shape and area measurement module is used to measure the shape and area of ​​the divided blocks; The delineation module is used to delineate the blocks and visually display the areas of each delineated block; The area calculation module is used to calculate the area of ​​each block after delineation and summarize the area of ​​the tobacco field; The area statistics module is used to count and analyze the tobacco field area, including calculating the area proportion of different blocks and area change trends; The area cloud sharing module is used to upload the acquired tobacco field area information to the cloud server to achieve data sharing and access; The cloud sharing verification module is used to verify and review the tobacco field area information uploaded to the cloud to ensure the accuracy and legitimacy of the data.

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