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Method for selecting unmanned aerial vehicle pest control pesticide spraying system parameters

A technology for preventing and controlling diseases and insect pests and system parameters. It is used in data processing applications, complex mathematical operations, instruments, etc. It can solve problems such as insufficient drug dosage, high pesticide usage, and environmental pollution, and achieve scientific and reasonable parameter selection.

Pending Publication Date: 2020-05-15
HAINAN UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, the parameters of the spraying system of the plant protection drone are mainly selected according to the parameters provided by the nozzle manufacturer, and the parameters provided by the manufacturer are based on the results of the experiment when spraying water. Due to the different components of various pesticides , the density is also different. According to the knowledge of fluid mechanics, under the condition of the same nozzle aperture and the same pressure, the density is an important factor affecting the flow rate. Therefore, the same nozzle has different densities due to the different pesticides sprayed. Under the same pressure, the flow rate is also different. If the parameters are selected according to the parameter table provided by the manufacturer, it is obviously unscientific, and there will undoubtedly be overspray or underspray phenomenon. Overspray will cause excessive use of pesticides and cause environmental pollution. Pollution and pesticide waste, under-spraying leads to insufficient dosage, which fails to achieve the purpose of pest control and disease treatment. Both are difficult to achieve the so-called "precision spraying", and the effect of "reducing dosage and increasing efficiency" is also open to question

Method used

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  • Method for selecting unmanned aerial vehicle pest control pesticide spraying system parameters

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0013] Embodiment 1 (No. 0.5 nozzle is selected):

[0014] (1) Design the test plan; because the uniform design is based on the orthogonal test, it does not consider the orderly comparability of the test data, but only considers that the data points are evenly dispersed within the test range, and as a result, the number of test implementations is reduced to less than that of the orthogonal test. There are fewer test design methods, so choose a uniform test. When the nozzle is selected, there are only two factors that affect its flow, namely pressure and density. Considering the amount of medicine required for actual spraying, choose 10 levels, that is, 2 factors 10 proficiency test. Select the 8-factor 10-level table in the uniform design table, and select the first and sixth columns in the 8-factor 10-level table in the uniform design table as the test plan according to the usage table of the 8-factor 10-level table.

[0015] (2) According to the designed test plan, prepare ...

Embodiment 2

[0029] Embodiment 2 (No. 1 nozzle is selected):

[0030] (1) Carry out the design of the test plan; still select the uniform test, the test plan is the same as that of Example 1.

[0031] (2) According to the designed test plan, prepare test reagents with different densities; for this purpose, use water, shampoo aqueous solution, hydraulic oil and diesel solution to prepare 10 kinds of test reagents with different concentrations.

[0032] (3) Carry out specific tests according to the designed test plan, and record the test data as shown in Table 4.

[0033] Table 4 Test data

[0034] Group No Density (kg / L) pressure (bar) flow(ml / min) 1 0.999 3.6 30 2 1.028 2 21 3 1.007 4.8 34 4 0.832 3.2 30 5 1.009 1.6 23 6 1.009 4.4 36 7 0.836 2.8 35 8 0.838 1.2 18 9 1.011 4 34 10 0.844 2.4 29

[0035] (4) Design a regression mathematical model for the test data, and then perform linear regression proc...

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Abstract

The invention discloses a method for selecting parameters of a pesticide spraying system for preventing and treating diseases and insect pests by an unmanned aerial vehicle. The method comprises the following six steps: (1) designing a test scheme; (2) preparing test reagents with different densities; (3) performing a specific test, and recording corresponding test data; (4) designing a regressionmathematical model for the test data, and then performing linear regression processing to obtain a linear regression formula; (5) analyzing the fitting degree of the regression model according to theregression statistical analysis table; and (6) selecting scientific and reasonable pesticide spraying system parameters according to a linear regression formula. The invention has the following beneficial effects. Parameters of the pesticide spraying system for preventing and treating plant diseases and insect pests of the unmanned aerial vehicle are selected according to the density of pesticideliquid and a regression equation obtained through an experiment instead of depending on a parameter selection table provided by a nozzle manufacturer, so that the parameters of the pesticide sprayingsystem are more scientifically and reasonably selected, and accurate spraying and decrement synergy are truly realized.

Description

technical field [0001] The invention relates to a spraying technology for preventing and controlling plant diseases and insect pests, in particular to a method for selecting parameters of a spraying system for preventing and controlling plant diseases and insect pests. Background technique [0002] In recent years, aerial plant protection has developed rapidly, and plant protection drones, known for saving water, medicine, and high efficiency, have officially entered the stage of market competition, and the market structure has begun to take shape. With the continuous expansion of the aviation plant protection market and the hype of the media, it seems that plant protection drones are a perfect solution. However, at present, the parameters of the spraying system of the plant protection drone are mainly selected according to the parameters provided by the nozzle manufacturer, and the parameters provided by the manufacturer are based on the results of the experiment when spray...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/02G06F17/18
CPCG06Q10/06315G06Q50/02G06F17/18
Inventor 樊军庆张宇王萌张宝珍万有为许铖溶
Owner HAINAN UNIVERSITY
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