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.
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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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