A method for improving carbon storage of coastal wetland vegetation based on external intervention

Abstract

The invention discloses an external intervention improvement method based on the carbon storage of coastal wetland vegetation. The method adopts a carbon storage assessment system, which includes a situation monitoring module, a situation judgment module and an automatic adjustment module. The system is characterized in that: the situation monitoring module is used to monitor the viewing situation during the growth of the plant, the situation judgment module is used to judge the health status of the plant during the growth process to assess the carbon storage, and the automatic adjustment module is used to automatically adjust the spraying of exogenous substances in the assessment drone and the coastal wetland area according to the growth situation of the plant. The situation monitoring module is electrically connected to the situation judgment module, and the situation judgment module is electrically connected to the automatic adjustment module. The situation monitoring module includes an infrared scanning module, an image mapping module and a leaf recognition module. The invention has the characteristics of comprehensive assessment.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon storage assessment, and in particular to an external intervention improvement method based on coastal wetland vegetation carbon storage. Background Art

[0002] Carbon storage is the amount of carbon stored, usually referring to the amount of carbon in a carbon pool (forest, ocean, land, etc.). Carbon density is the carbon storage per unit area. Carbon storage estimation methods include sample site inventory, remote sensing estimation, model simulation and many other methods.

[0003] At present, domestic and foreign scholars have conducted a lot of research on the carbon storage of forest ecosystems. Among them, the volume source biomass method has a good effect in estimating the stand biomass. It is one of the important methods for studying vegetation carbon storage. This method uses the biomass conversion continuous function method to confirm that the unit area biomass of a certain tree species is multiplied by the total area for evaluation. During the evaluation, the number of vegetation is scanned by a drone flying above to determine the vegetation coverage. However, this evaluation method only takes into account the number of vegetation, and does not take into account the overall size of the vegetation and the size of the leaves. The larger these two indicators are, the greater the carbon storage.

[0004] At the same time, in the existing technology, drones can be used to release exogenous substances (including nutrients and pest and disease agents), but they often only perform rough spraying and are unable to adjust the amount of organic matter released according to the specific growth conditions of the plants. Therefore, it is necessary to design and evaluate a comprehensive external intervention improvement method based on the carbon storage of coastal wetland vegetation. Summary of the invention

[0005] The purpose of the present invention is to provide an external intervention improvement method based on the carbon storage of coastal wetland vegetation to solve the problems raised in the above background technology.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for improving carbon reserves of coastal wetland vegetation based on external intervention, the method adopts a carbon reserve assessment system, the system includes a situation monitoring module, a situation judgment module and an automatic adjustment module, characterized in that: the situation monitoring module is used to monitor the viewing situation during the growth of the plants, the situation judgment module is used to judge the health status of the plants during the growth process to assess the carbon reserves, the automatic adjustment module is used to automatically adjust the assessment drone and the spraying of exogenous substances in the coastal wetland area according to the growth situation of the plants, the situation monitoring module is electrically connected to the situation judgment module, and the situation judgment module is electrically connected to the automatic adjustment module.

[0007] According to the above technical solution, the situation monitoring module includes an infrared scanning module, an image mapping module and a leaf recognition module. The infrared scanning module is used to detect infrared energy and convert it into an electrical signal for infrared scanning. The image mapping module is used to image the plant screen below the drone toward the coastal wetland area. The leaf recognition module is electrically connected to the image mapping module. The leaf recognition module is used to track and lock the leaves of the plant in real time according to the image mapping module imaging screen;

[0008] The situation judgment module includes a morphology judgment module and a leaf size confirmation module. The morphology judgment module is electrically connected to the infrared scanning module. The morphology judgment module is used to identify and mark the position of the plant and judge the growth morphology of the plant during plant growth. The leaf size confirmation module is electrically connected to the leaf recognition module. The leaf size confirmation module is used to judge and confirm the leaf growth degree of the plant during plant growth.

[0009] The automatic adjustment module includes a carbon content assessment module, a speed change module, a spray adjustment module and a spray amount control module. The carbon content assessment module is used to assess the carbon source content of wetland vegetation, the speed change module is used to adjust the flight speed of the assessment drone, the spray adjustment module is used to adjust the drone's exogenous material spraying switch, and the spray amount control module is used to assess the spray amount of the sprinkler above the coastal wetland area.

[0010] According to the above technical solution, the following steps are mainly included:

[0011] Step S1: Plants grow in coastal wetlands. After the drone is started, plant growth monitoring begins. After the drone is started, it returns and flies over the vegetation along a prescribed route, and the route covers every piece of vegetation. The situation monitoring module located below the drone is started;

[0012] Step S2: The situation monitoring module starts scanning and monitoring the plant conditions under the drone;

[0013] Step S3: the situation judgment module judges the growth situation of the plants in real time, and judges the health status of the current plant growth in real time;

[0014] Step S4: The automatic adjustment module determines the current plant growth status according to the result of the situation judgment, and automatically evaluates the carbon content of the vegetation.

[0015] According to the above technical solution, step S2 further includes the following steps:

[0016] Step S21: After the drone is started, the infrared scanning module installed below the drone returns to fly over the vegetation according to the prescribed route, identifies and marks the plants, detects infrared energy and converts it into electrical signals for infrared scanning, and obtains infrared scanning images of the plants;

[0017] Step S22: At the same time, the image mapping module starts to map the image in the direction of the coastal wetland area below the drone, and transmits the obtained image information electrical signal to the leaf recognition module;

[0018] Step S23: the leaf recognition module locks and tracks leaf image information in the image mapping image according to the set leaf features.

[0019] According to the above technical solution, step S3 further includes the following steps:

[0020] Step S31: the morphology judgment module establishes a standard growth morphology based on the coastal wetland area where the plant is located;

[0021] Step S32: Describing the growth morphology area of ​​the plant through the infrared scanning screen, and comparing the outline size with the established standard growth morphology;

[0022] Step S33: Calculate the reasonable size of the growth form of the current plant during growth by using the ratio of the outline size area to the established standard growth form;

[0023] Step S34: When the UAV is turned on and the leaf recognition module just locks the leaf image information, the leaf size confirmation module calibrates the green area of ​​the current leaf to confirm and obtain the standard leaf size s;

[0024] Step S35: During the subsequent plant growth process, the leaf size confirmation module continuously confirms the leaf area based on the image information of the leaf recognition module to obtain the average leaf size s on a certain plant. 当 ;

[0025] Step S36: The leaf size confirmation module uses the average leaf size s of a certain plant 当 The ratio with the standard leaf size s confirms the real-time leaf size during plant growth.

[0026] According to the above technical solution, the formula for determining the reasonable size of the growth morphology of the current plant during growth in step S33 is:

[0027]

[0028] Among them, w 正is the size ratio of the plant's growth form to the standard growth form, w is the established standard growth form area value, k is the reasonable size degree conversion coefficient, Q is the reasonable size degree value of the growth form, where the size ratio value is proportional to the reasonable size degree value of the growth form. When the size ratio value is larger, it indicates that the growth is more vigorous, the plant has sufficient nutrition during growth, and is not harmed by diseases and pests. On the contrary, when the size ratio value is smaller, it indicates that the growth is weak, the plant has insufficient nutrition during growth, or is harmed by diseases and pests.

[0029] According to the above technical solution, the real-time leaf size confirmation formula during the plant growth process in step S36 is:

[0030]

[0031] Among them, X is the real-time average leaf size value during the growth of the plant. When the average leaf size on a certain plant is larger, it indicates that the leaves are adequately nutritious, the plant is relatively well nutritious during growth, and is not harmed by pests and diseases. On the contrary, the nutrition is insufficient or it is harmed by pests and diseases. When the average leaf size on a certain plant is 0, no leaves can be monitored, indicating that the current plant has withered or there is no plant, and the health status of the plant during growth is 0.

[0032] According to the above technical solution, step S4 further includes the following steps:

[0033] Step S41: When the leaf size confirmation module measures the average leaf size value X≥80% in real time, but the morphology judgment module measures the reasonable size value Q of the growth morphology to be less than 50%, the situation judgment module judges that the plant growth is incomplete at this time, but there is no malnutrition or damage by pests and diseases, and the wetland vegetation has a problem of insufficient carbon content, triggering an electrical signal to the spraying amount control module, marking the position of the unreasonable growing plants, automatically changing the carbon-deficient coastal wetland area into a carbon-rich state, and using the spraying amount control module to evaluate the carbon content of the coastal wetland area, the electrical signal adjusts the carbon content evaluation module, so that the drone reserves carbon source in a small dose during the carbon content evaluation process of the coastal wetland area.

[0034] Step S42: When the leaf size confirmation module measures the average leaf size value of 10%≤X<80% in real time, the situation judgment module determines that the plant has leaf malnutrition or is harmed by pests and diseases. The wetland vegetation hopes that the vegetation will maintain normal growth and does not want the drone to consume too much energy. The electrical signal is triggered to the spraying amount control module to mark the position of the unreasonable growing plants, automatically change the carbon-deficient coastal wetland area to a carbon-rich area, and adjust the drone speed to 50% of the current set speed, so that the wetland vegetation can receive an increased dose of exogenous substances spraying process;

[0035] Step S43: When the leaf size confirmation module measures the average leaf size value of 0%≤Z<10% in real time, the situation judgment module determines that the plant has withered at this time, and the electrical signal transmission spraying adjustment module turns off the exogenous substance spraying of the drone, saving carbon reserves and avoiding interference with the normal growth of the plant.

[0036] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention uses infrared imaging images to track and lock the leaves of plants in real time and scan the plants below to judge the growth status and nutritional status of the plants, thereby obtaining the carbon content status of the wetland vegetation. When the leaf size confirmation module measures the average leaf size value in real time, the spraying of exogenous substances is controlled according to the carbon content status, thereby accurately supplementing the carbon content of the vegetation. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0038] Figure 1 It is a schematic diagram of the overall module structure of the present invention. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] See also Figure 1 The present invention provides a technical solution: an external intervention improvement method based on the carbon storage of coastal wetland vegetation, the method adopts a carbon storage assessment system, the system includes a situation monitoring module, a situation judgment module and an automatic adjustment module, characterized in that: the situation monitoring module is used to monitor the viewing situation during the growth of the plant, the situation judgment module is used to judge the health status of the plant during the growth process to assess the carbon storage, the automatic adjustment module is used to automatically adjust the assessment of the spraying of exogenous substances in the drone and coastal wetland area according to the growth of the plant, the situation monitoring module is electrically connected to the situation judgment module, and the situation judgment module is electrically connected to the automatic adjustment module;

[0041] The situation monitoring module includes an infrared scanning module, an image mapping module and a leaf recognition module. The infrared scanning module is used to detect infrared energy and convert it into an electrical signal for infrared scanning. The image mapping module is used to image the plant image below the UAV toward the coastal wetland area. The leaf recognition module is electrically connected to the image mapping module. The leaf recognition module is used to track and lock the leaves of the plant in real time according to the image image of the image mapping module.

[0042] The situation judgment module includes a morphology judgment module and a leaf size confirmation module. The morphology judgment module is electrically connected to the infrared scanning module. The morphology judgment module is used to identify and mark the position of the plant and judge the growth morphology of the plant during growth. The leaf size confirmation module is electrically connected to the leaf recognition module. The leaf size confirmation module is used to judge and confirm the leaf growth degree of the plant during growth.

[0043] The automatic adjustment module includes a carbon content assessment module, a speed change module, a spray adjustment module and a spray quantity control module. The carbon content assessment module is used to assess the carbon source content of wetland vegetation, the speed change module is used to adjust the flight speed of the assessment drone, the spray adjustment module is used to adjust the drone's exogenous material spraying switch, and the spray quantity control module is used to assess the spray quantity of the sprinkler above the coastal wetland area;

[0044] The main steps include:

[0045] Step S1: Plants grow in coastal wetlands. After the drone is started, plant growth monitoring begins. After the drone is started, it returns and flies over the vegetation along a prescribed route, and the route covers every piece of vegetation. The situation monitoring module located below the drone is started;

[0046] Step S2: The situation monitoring module starts scanning and monitoring the plant conditions under the drone;

[0047] Step S3: the situation judgment module judges the growth situation of the plants in real time, and judges the health status of the current plant growth in real time;

[0048] Step S4: the automatic adjustment module determines the current plant growth status according to the result of the situation judgment, and automatically evaluates the vegetation carbon content;

[0049] Step S2 further comprises the following steps:

[0050] Step S21: After the drone is started, the infrared scanning module installed below the drone returns to fly over the vegetation according to the prescribed route, identifies and marks the plants, detects infrared energy and converts it into electrical signals for infrared scanning, and obtains infrared scanning images of the plants;

[0051] Step S22: At the same time, the image mapping module starts to map the image in the direction of the coastal wetland area below the drone, and transmits the obtained image information electrical signal to the leaf recognition module;

[0052] Step S23: the leaf recognition module locks and tracks leaf image information according to set leaf features in the image mapping screen;

[0053] Step S3 further comprises the following steps:

[0054] Step S31: the morphology judgment module establishes a standard growth morphology based on the coastal wetland area where the plant is located;

[0055] Step S32: Describing the growth morphology area of ​​the plant through the infrared scanning screen, and comparing the outline size with the established standard growth morphology;

[0056] Step S33: Calculate the reasonable size of the growth form of the current plant during growth by using the ratio of the outline size area to the established standard growth form;

[0057] Step S34: When the UAV is turned on and the leaf recognition module just locks the leaf image information, the leaf size confirmation module calibrates the green area of ​​the current leaf to confirm and obtain the standard leaf size s;

[0058] Step S35: During the subsequent plant growth process, the leaf size confirmation module continuously confirms the leaf area based on the image information of the leaf recognition module to obtain the average leaf size s on a certain plant. 当 ;

[0059] Step S36: The leaf size confirmation module uses the average leaf size s of a certain plant 当 The ratio with the standard leaf size s confirms the real-time leaf size during the plant growth process;

[0060] The formula for determining the reasonable size of the growth morphology of the current plant during growth in step S33 is:

[0061]

[0062] Among them, w 正 is the size ratio of the plant's growth form to the standard growth form, w is the area value of the established standard growth form, k is the conversion coefficient of the reasonable size degree, Q is the reasonable size degree value of the growth form, where the size ratio value is proportional to the reasonable size degree value of the growth form. When the size ratio value is larger, it indicates that the growth is more luxuriant, the plant has sufficient nutrition during growth, and is not harmed by pests and diseases. On the contrary, when the size ratio value is smaller, it indicates that the growth is weak, and the plant has insufficient nutrition during growth, or is harmed by pests and diseases.

[0063] The real-time leaf size confirmation formula during plant growth in step S36 is:

[0064]

[0065] Among them, Z is the real-time average leaf size value during the growth of the plant. When the average leaf size on a certain plant is larger, it indicates that the leaves are adequately nutritious, the plant is relatively well nutritious during growth, and is not harmed by pests and diseases. On the contrary, the nutrition is insufficient or it is harmed by pests and diseases. When the average leaf size on a certain plant is 0, no leaves can be monitored, indicating that the current plant has withered or there is no plant, and the health status of the plant during growth is 0;

[0066] Step S4 further includes the following steps:

[0067] Step S41: When the leaf size confirmation module measures the average leaf size value Z≥80% in real time, but the morphology judgment module measures the reasonable size value Q of the growth morphology to be less than 50%, the situation judgment module judges that the plant growth is incomplete at this time, but there is no malnutrition or damage by pests and diseases, and the wetland vegetation has a problem of insufficient carbon content, triggering an electrical signal to the spraying amount control module, marking the position of the unreasonable growing plants, automatically changing the carbon-deficient coastal wetland area into a carbon-rich state, and using the spraying amount control module to evaluate the carbon content of the coastal wetland area, the electrical signal adjusts the carbon content evaluation module, so that the drone reserves carbon source in a small dose during the carbon content evaluation process of the coastal wetland area.

[0068] Step S42: When the leaf size confirmation module measures the average leaf size value of 10%≤X<80% in real time, the situation judgment module determines that the plant has leaf malnutrition or is harmed by pests and diseases. The wetland vegetation hopes that the vegetation will maintain normal growth and does not want the drone to consume too much energy. The electrical signal is triggered to the spraying amount control module to mark the position of the unreasonable growing plants, automatically change the carbon-deficient coastal wetland area to a carbon-rich area, and adjust the drone speed to 50% of the current set speed, so that the wetland vegetation can receive an increased dose of exogenous substances spraying process;

[0069] Step S43: When the leaf size confirmation module measures the average leaf size value of 0%≤Z<10% in real time, the situation judgment module determines that the plant has withered at this time, and the electrical signal transmission spraying adjustment module turns off the exogenous substance spraying of the drone, saving carbon reserves and avoiding interference with the normal growth of the plant.

[0070] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0071] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the scope of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for improving carbon storage of coastal wetland vegetation based on external intervention, characterized in that: The method adopts a carbon storage assessment system, which includes a situation monitoring module, a situation judgment module and an automatic adjustment module, characterized in that: the situation monitoring module is used to monitor the viewing situation during the growth of the plant, the situation judgment module is used to judge the health status of the plant during the growth process to assess the carbon storage, and the automatic adjustment module is used to automatically adjust the spraying of exogenous substances in the assessment drone and the coastal wetland area according to the growth of the plant, the situation monitoring module is electrically connected to the situation judgment module, and the situation judgment module is electrically connected to the automatic adjustment module; The situation monitoring module includes an infrared scanning module, an image mapping module and a leaf recognition module. The infrared scanning module is used to detect infrared energy and convert it into an electrical signal for infrared scanning. The image mapping module is used to image the plant image below the drone toward the coastal wetland area. The leaf recognition module is electrically connected to the image mapping module. The leaf recognition module is used to track and lock the leaves of the plant in real time according to the image image of the image mapping module. The situation judgment module includes a morphology judgment module and a leaf size confirmation module. The morphology judgment module is electrically connected to the infrared scanning module. The morphology judgment module is used to identify and mark the position of the plant and judge the growth morphology of the plant during plant growth. The leaf size confirmation module is electrically connected to the leaf recognition module. The leaf size confirmation module is used to judge and confirm the leaf growth degree of the plant during plant growth. The automatic adjustment module includes a carbon content assessment module, a speed change module, a spray adjustment module and a spray amount control module. The carbon content assessment module is used to assess the carbon source content of wetland vegetation, the speed change module is used to adjust the flight speed of the assessment drone, the spray adjustment module is used to adjust the drone exogenous material spraying switch, and the spray amount control module is used to assess the spray amount of the sprinkler above the coastal wetland area; The specific steps include: Step S1: Plants grow in coastal wetlands. After the drone is started, plant growth monitoring begins. After the drone is started, it returns and flies over the vegetation along a prescribed route, and the route covers every piece of vegetation. The situation monitoring module located below the drone is started; Step S2: The situation monitoring module starts scanning and monitoring the plant conditions under the drone; Step S3: the situation judgment module judges the growth situation of the plants in real time, and judges the health status of the current plant growth in real time; Step S4: the automatic adjustment module determines the current plant growth status according to the result of the situation judgment, and automatically evaluates the vegetation carbon content; The step S2 comprises the following steps: Step S21: After the drone is started, the infrared scanning module installed below the drone returns to fly over the vegetation according to the prescribed route, identifies and marks the plants, detects infrared energy and converts it into electrical signals for infrared scanning, and obtains infrared scanning images of the plants; Step S22: At the same time, the image mapping module starts to map the image in the direction of the coastal wetland area below the drone, and transmits the obtained image information electrical signal to the leaf recognition module; Step S23: the leaf recognition module locks and tracks leaf image information according to set leaf features in the image mapping screen; The step S3 comprises the following steps: Step S31: the morphology judgment module establishes a standard growth morphology based on the coastal wetland area where the plant is located; Step S32: Describing the growth morphology area of ​​the plant through the infrared scanning screen, and comparing the outline size with the established standard growth morphology; Step S33: Calculate the reasonable size of the growth form of the current plant through the ratio of the outline size area to the established standard growth form; Step S34: When the UAV is turned on and the leaf recognition module just locks the leaf image information, the leaf size confirmation module calibrates the green area of ​​the current leaf to confirm and obtain the standard leaf size s; Step S35: During the subsequent plant growth process, the leaf size confirmation module continuously confirms the leaf area based on the image information of the leaf recognition module to obtain the average leaf size s on a certain plant. 当 ; Step S36: The leaf size confirmation module uses the average leaf size s of a certain plant 当 The ratio with the standard leaf size s confirms the real-time leaf size during plant growth.

2. The method for improving carbon storage of coastal wetland vegetation based on external intervention according to claim 1, characterized in that: The formula for determining the reasonable size of the growth morphology of the current plant during growth in step S33 is: Among them, w 正 is the size ratio of the plant's growth form to the standard growth form, w is the established standard growth form area value, k is the reasonable size degree conversion coefficient, Q is the reasonable size degree value of the growth form, where the size ratio value is proportional to the reasonable size degree value of the growth form. When the size ratio value is larger, it indicates that the growth is more vigorous, the plant has sufficient nutrition during growth, and is not harmed by diseases and pests. On the contrary, when the size ratio value is smaller, it indicates that the growth is weak, the plant has insufficient nutrition during growth, or is harmed by diseases and pests.

3. The method for improving carbon storage of coastal wetland vegetation based on external intervention according to claim 2, characterized in that: The real-time leaf size confirmation formula during the plant growth process in step S36 is: Among them, Z is the real-time average leaf size value during the growth of the plant. The larger the average leaf size on a certain plant, the more sufficient the leaves are. The nutrition is sufficient during plant growth and it is not harmed by pests and diseases. On the contrary, the nutrition is insufficient or it is harmed by pests and diseases. When the average leaf size on a certain plant is 0, no leaves can be monitored, which means that the current plant has withered or there is no plant, and the health status of the plant during growth is 0.

4. The method for improving carbon storage of coastal wetland vegetation based on external intervention according to claim 3, characterized in that: The step S4 further comprises the following steps: Step S41: When the leaf size confirmation module measures the average leaf size value Z≥80% in real time, but the morphology judgment module measures the reasonable size value Q of the growth morphology to be less than 50%, the situation judgment module judges that the plant growth is incomplete at this time, but there is no malnutrition or pest damage, and the wetland vegetation has a problem of insufficient carbon content, triggering an electrical signal to the spraying amount control module, marking the position of the plant with unreasonable growth, and using the spraying amount control module to evaluate the carbon content of the coastal wetland area, the electrical signal adjusts the carbon content evaluation module, so that the drone reserves carbon source in the process of carbon content evaluation in the coastal wetland area. Follow-up spraying in small doses; Step S42: When the leaf size confirmation module measures the average leaf size value of 10%≤Z<80% in real time, the situation judgment module determines that the plant has leaf malnutrition or is harmed by pests and diseases. The wetland vegetation hopes that the vegetation will maintain normal growth and does not want the drone to consume too much energy. The electrical signal is triggered to the spraying amount control module to mark the position of the unreasonable growing plants, automatically change the carbon-deficient coastal wetland area to a carbon-rich area, and adjust the drone speed to 50% of the current set speed, so that the wetland vegetation can receive an increased dose of exogenous substances spraying process; Step S43: When the leaf size confirmation module measures the average leaf size value of 0%≤Z<10% in real time, the situation judgment module determines that the plant has withered at this time, and the electrical signal transmission spraying adjustment module turns off the exogenous substance spraying of the drone, saving carbon reserves and avoiding interference with the normal growth of the plant.

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