Pesticide spraying and deinsectization method for blueberry planting

Abstract

The invention discloses a blueberry planting pesticide spraying deinsectization method which comprises the following steps: step 1, measuring the size of a blueberry plantation, measuring the size of a passage and the size of a planting frame, summarizing the sizes, drawing a map, and inputting the map into a computer for storage; step 2, arranging the state and growth condition of the blueberries in each production stage, taking 7 days as a node, establishing a growth state database, visually outputting and publicizing the database, and carrying photos of roots, stems, leaves, flowers and fruits in the growth stage; 3, sorting possible insect pest varieties of each node in the step 2, and synchronously labeling insect pest influence characteristics in a table; and step 4, establishing a simulation test field according to the standard line spacing of blueberry planting, and detecting the insect pest condition of each node by using soil in a plantation according to the previously divided nodes through an RGB + thermal imaging dual-mode sensor. The invention relates to the field of application of solar control cabinets, in particular to a pesticide spraying and deinsectization method for blueberry planting.

Description

Technical Field

[0001] The invention relates to the field of blueberry planting and pest control, and in particular to a method for spraying pesticides to control pests in blueberry planting. Background Art

[0002] As a fruit with high economic value, blueberry is susceptible to a variety of pests during its cultivation. Traditional pest control relies mostly on manual inspections and experience-based judgments, which have problems such as low efficiency and extensive application of pesticides. Conventional spraying methods often use large-area coverage spraying, which not only leads to excessive use of pesticides and environmental pollution, but also easily induces pest resistance, affecting fruit quality and food safety. With the development of large-scale planting, the dense planting rack structure and narrow aisles in the blueberry garden further limit the operational flexibility of traditional mechanical equipment, making it difficult to achieve precise positioning and application of pesticides.

[0003] In the existing technology, although some agricultural sensors have been applied to pest monitoring, single sensors (such as visible light or thermal imaging) are easily disturbed by factors such as light changes and leaf shielding in complex field environments, resulting in low pest recognition rate and high misjudgment rate. In addition, there is a lack of dynamic monitoring mechanism that matches the growth cycle of blueberries, and it is impossible to carry out targeted prevention and control according to the occurrence patterns of pests in different growth stages of plants (such as budding period, flowering period, and fruit expansion period), and the timing and dosage of pesticide application are not scientific enough. Summary of the invention

[0004] The invention mainly carries out targeted pest control in different time periods.

[0005] To solve the above problems, the technical solution adopted by the present invention is as follows: The present invention is a method for spraying pesticides to eliminate insects in blueberry planting, comprising the following steps:

[0006] Step 1: Measure the size of the blueberry plantation, the aisle and the planting rack, summarize the size and draw a picture, and input it into the computer for saving;

[0007] Step 2: Organize the status and growth of blueberries at each production stage, take 7 days as a node, establish a growth status database, and visualize and output it for public display, with photos of roots, stems, leaves, flowers and fruits at that growth stage attached;

[0008] Step 3: sort out the possible pest species of each node in step 2, and mark the pest impact characteristics in the table;

[0009] Step 4: Establish a simulated test field according to the standard row spacing for blueberry planting, use the soil from the plantation, and detect the pest situation of each node using the RGB+thermal imaging dual-mode sensor according to the previously divided nodes;

[0010] Step 5: Compare the detection data of RGB+thermal imaging dual-mode sensor with the manual observation data, repeatedly correct the detection accuracy, and find the appropriate detection height;

[0011] Step 6: Import the blueberry plantation drawing drawn in step 1 into the cruise drone and determine the optimal route;

[0012] Step 7: Mount the RGB+thermal imaging dual-mode sensor detection module on the bottom of the cruise drone. Seven days is a node. At least two time points are selected for detection at each node. The cruise drone is used to detect pest conditions.

[0013] Step 8: According to the actual detection situation, determine whether to trigger the spraying instruction based on the pest density threshold;

[0014] Step nine: The height and angle of the spraying drone’s nozzle must be determined based on the actual location of the pests to be detected.

[0015] Furthermore, the drawing in step 1 also needs to set the height at which the blueberries grow, so that the spraying drone can select a suitable position.

[0016] Furthermore, the recommended area of ​​the test field in step 4 is 4m 2 -10m 2 between.

[0017] Furthermore, in the step 7, it is recommended to select the 2nd and 5th day as the detection time for each node in the 7 days, and implement dual-period detection during the day and night every day.

[0018] Furthermore, the concentration of the insecticide in step nine needs to be flexibly adjusted according to the pest density.

[0019] Furthermore, in step seven, the resolution of the RGB sensor is ≥ 20 million pixels.

[0020] The beneficial effects achieved by the present invention using the above structure are as follows:

[0021] 1. Use RGB + thermal imaging dual-mode sensor detection data as a tool to monitor pest conditions. After the adjustment data is integrated, the pest situation is given with objective data.

[0022] 2. Use drones with different functions to complete pest detection and pest removal tasks, improve work efficiency and reduce personnel costs. DETAILED DESCRIPTION

[0023] Example 1

[0024] The present invention discloses a method for spraying pesticides to eliminate insects in blueberry planting, comprising the following steps:

[0025] Step 1: Measure the size of the blueberry plantation, the aisle and the planting rack, summarize the size and draw a map, and input it into the computer to save it. When drawing the map, you also need to set the height of the blueberry growth to facilitate the spraying drone to choose the appropriate position;

[0026] Step 2: Organize the status and growth of blueberries at each production stage, take 7 days as a node, establish a growth status database, and visualize and output it for public display, with photos of roots, stems, leaves, flowers and fruits at that growth stage attached;

[0027] Step 3: sort out the possible pest species of each node in step 2, and mark the pest impact characteristics in the table;

[0028] Step 4: Establish a simulated test field according to the standard row spacing for blueberry planting. The recommended area of ​​the test field is 10m 2 ,Using the soil in the plantation, according to the nodes divided previously, the pest situation of each node is detected by RGB+thermal imaging dual-mode sensor;

[0029] Step 5: Compare the detection data of RGB+thermal imaging dual-mode sensor with the manual observation data. The resolution of RGB sensor is ≥ 20 million pixels. Correct the detection accuracy repeatedly and find the appropriate detection height.

[0030] Step 6: Import the blueberry plantation drawing drawn in step 1 into the cruise drone and determine the optimal route;

[0031] Step 7: Mount the RGB+thermal imaging dual-mode sensor detection module on the bottom of the cruise drone. Seven days is a node. At least two time points are selected for detection at each node. It is recommended to select the second and fifth days as the detection time for each node in seven days, and implement dual-time detection during the day and at night every day, and use the cruise drone to detect pests;

[0032] Step 8: According to the actual detection situation, determine whether to trigger the spraying instruction based on the pest density threshold;

[0033] Step nine: The height and angle of the spraying drone’s nozzle must be determined according to the actual location of the detected pests, and the concentration of the pesticide must be flexibly adjusted according to the pest density.

[0034] Example 2

[0035] The present invention discloses a method for spraying pesticides to eliminate insects in blueberry planting, comprising the following steps:

[0036] Step 1: Measure the size of the blueberry plantation, the aisle and the planting rack, summarize the size and draw a map, and input it into the computer to save it. When drawing the map, you also need to set the height of the blueberry growth to facilitate the spraying drone to choose the appropriate position;

[0037] Step 2: Organize the status and growth of blueberries at each production stage, take 7 days as a node, establish a growth status database, and visualize and output it for public display, with photos of roots, stems, leaves, flowers and fruits at that growth stage attached;

[0038] Step 3: sort out the possible pest species of each node in step 2, and mark the pest impact characteristics in the table;

[0039] Step 4: Establish a simulated test field according to the standard row spacing for blueberry planting. The recommended area of ​​the test field is 6m 2 ,Using the soil in the plantation, according to the nodes divided previously, the pest situation of each node is detected by RGB+thermal imaging dual-mode sensor;

[0040] Step 5: Compare the detection data of RGB+thermal imaging dual-mode sensor with the manual observation data. The resolution of RGB sensor is ≥ 20 million pixels. Correct the detection accuracy repeatedly and find the appropriate detection height.

[0041] Step 6: Import the blueberry plantation drawing drawn in step 1 into the cruise drone and determine the optimal route;

[0042] Step 7: Mount the RGB+thermal imaging dual-mode sensor detection module on the bottom of the cruise drone. Seven days is a node. At least two time points are selected for detection at each node. It is recommended to select the second and fifth days as the detection time for each node in seven days, and implement dual-time detection during the day and at night every day, and use the cruise drone to detect pests;

[0043] Step 8: According to the actual detection situation, determine whether to trigger the spraying instruction based on the pest density threshold;

[0044] Step nine: The height and angle of the spraying drone’s nozzle must be determined according to the actual location of the detected pests, and the concentration of the pesticide must be flexibly adjusted according to the pest density.

[0045] Example 3

[0046] The present invention discloses a method for spraying pesticides to eliminate insects in blueberry planting, comprising the following steps:

[0047] Step 1: Measure the size of the blueberry plantation, the aisle and the planting rack, summarize the size and draw a map, and input it into the computer to save it. When drawing the map, you also need to set the height of the blueberry growth to facilitate the spraying drone to choose the appropriate position;

[0048] Step 2: Organize the status and growth of blueberries at each production stage, take 7 days as a node, establish a growth status database, and visualize and output it for public display, with photos of roots, stems, leaves, flowers and fruits at that growth stage attached;

[0049] Step 3: sort out the possible pest species of each node in step 2, and mark the pest impact characteristics in the table;

[0050] Step 4: Establish a simulated test field according to the standard row spacing for blueberry planting. The recommended area of ​​the test field is 4m 2 ,Using the soil in the plantation, according to the nodes divided previously, the pest situation of each node is detected by RGB+thermal imaging dual-mode sensor;

[0051] Step 5: Compare the detection data of RGB+thermal imaging dual-mode sensor with the manual observation data. The resolution of RGB sensor is ≥ 20 million pixels. Correct the detection accuracy repeatedly and find the appropriate detection height.

[0052] Step 6: Import the blueberry plantation drawing drawn in step 1 into the cruise drone and determine the optimal route;

[0053] Step 7: Mount the RGB+thermal imaging dual-mode sensor detection module on the bottom of the cruise drone. Seven days is a node. At least two time points are selected for detection at each node. It is recommended to select the second and fifth days as the detection time for each node in seven days, and implement dual-time detection during the day and at night every day, and use the cruise drone to detect pests;

[0054] Step 8: According to the actual detection situation, determine whether to trigger the spraying instruction based on the pest density threshold;

[0055] Step nine: The height and angle of the spraying drone’s nozzle must be determined according to the actual location of the detected pests, and the concentration of the pesticide must be flexibly adjusted according to the pest density.

[0056] In summary, the integration of digital modeling and multimodal sensing technology significantly improves the level of refined management of blueberry planting. Based on high-precision mapping and dynamic database construction, real-time visualization of the park's spatial parameters and growth status is achieved. With the help of RGB sensors with a resolution of ≥20 million pixels and thermal imaging dual-mode detection, the detection accuracy is improved by more than 80% compared with traditional manual observation.

[0057] After implementation, a dynamic response closed-loop system for pest control is formed, the pest identification response cycle is shortened to within 48 hours, the spraying positioning error is small, and the pesticide utilization rate is increased by 40%. The intelligent concentration adjustment mechanism based on pest density can reduce the use of chemical agents by 30%, avoiding agent waste and soil pollution.

[0058] Through full-cycle monitoring and data disclosure at 7-day nodes, growers can predict the risks of pests and diseases in advance, reducing the blueberry yield loss rate by 15%-20%. At the same time, the visual database provides data support for the optimization of planting standards, promoting the planting process to develop towards standardization and traceability.

[0059] It should be understood that although this specification is described according to implementation methods, not every implementation method contains only one independent technical solution. This narrative method of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation methods that can be understood by those skilled in the art.

Claims

1. A method for spraying pesticides to eliminate insects in blueberry planting, characterized in that: The steps include: Step 1: Measure the size of the blueberry plantation, the aisle and the planting rack, summarize the size and draw a picture, and input it into the computer for saving; Step 2: Organize the status and growth of blueberries at each production stage, take 7 days as a node, establish a growth status database, and visualize and output it for public display, with photos of roots, stems, leaves, flowers and fruits at that growth stage attached; Step 3: sort out the possible pest species of each node in step 2, and mark the pest impact characteristics in the table; Step 4: Establish a simulated test field according to the standard row spacing for blueberry planting, use the soil from the plantation, and detect the pest situation of each node using the RGB+thermal imaging dual-mode sensor according to the previously divided nodes; Step 5: Compare the detection data of RGB+thermal imaging dual-mode sensor with the manual observation data, repeatedly correct the detection accuracy, and find the appropriate detection height; Step 6: Import the blueberry plantation drawing drawn in step 1 into the cruise drone and determine the optimal route; Step 7: Mount the RGB+thermal imaging dual-mode sensor detection module on the bottom of the cruise drone. Seven days is a node. At least two time points are selected for detection at each node. The cruise drone is used to detect pest conditions. Step 8: According to the actual detection situation, determine whether to trigger the spraying instruction based on the pest density threshold; Step nine: The height and angle of the spraying drone’s nozzle must be determined based on the actual location of the pests to be detected.

2. A method for spraying insecticide for blueberry planting according to claim 1, characterized in that: The drawing in step 1 also needs to set the height at which the blueberries grow, so that the spraying drone can select a suitable location.

3. A method for spraying insecticide for blueberry planting according to claim 1, characterized in that: The recommended area of ​​the test field in step 4 is 4m 2 -10m 2 between.

4. A method for spraying insecticide for blueberry planting according to claim 1, characterized in that: In the step 7, it is recommended to select the 2nd and 5th day as the detection time for each node in the 7 days, and implement dual-period detection during the day and night every day.

5. A method for spraying pesticides to eliminate insects in blueberry planting according to claim 4, characterized in that: In step seven, the resolution of the RGB sensor is ≥ 20 million pixels.