Fluorescent dynamic automatic detection device and method for tobacco leaf lesion traits
A dynamic detection and tobacco leaf technology, applied in the direction of fluorescence/phosphorescence, material excitation analysis, etc., can solve the problems of low efficiency, heavy workload of manual measurement methods, inability to grasp the distribution of disease spots, etc., and achieve good compatibility
Active Publication Date: 2021-11-23
HUAZHONG AGRI UNIV
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Problems solved by technology
The manual measurement method has a large workload, low efficiency, long research cycle, measurement accuracy depends on subjectivity, and often cannot grasp the distribution of lesions
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[0027] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.
[0028] exist figure 1 and figure 2 18 portions of tobacco leaves to be tested are placed on 18 height-adjustable stage 5 at one time, an instruction is sent in the serial port communication assistant of the computer to turn off the growth light source 13, and the run button is clicked in the Labview tobacco leaf lesion detection program window, Turn on the fluorescent lamp 3, camera 2 and servo motor 8, the servo motor 8 starts to rotate according to the direction and speed set in the PLC program, and transmits power and torque to the turntable 10 through the coupling 9, and the turntable 10 starts to rotate. The fixing bolt 4 tightly fixes the rotating disk 6 on the upper surface of the rotating table 10, so the rotating disk 6 and the rotating table 10 rotate synchronously. The rotating disk 6 starts to rotate and drives the height-adjust...
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The invention relates to a fluorescent dynamic detection device and method for tobacco leaf lesion traits. The fluorescent dynamic detection device for tobacco leaf lesion traits specifically includes a computer system, a fluorescent imaging unit, a loading rotary table unit, a growth light source, and an imaging darkroom; the computer system includes tobacco leaf disease Spot fluorescence image acquisition software and data analysis software are used to acquire fluorescence images of tobacco leaf disease spots and analyze and extract the data of tobacco leaf disease spot traits; the fluorescence imaging unit specifically includes a digital camera and a fluorescence light source for fluorescence image acquisition; The unit specifically includes a rotating tobacco leaf growing tray and a rotating platform. The growing tray is mainly used to place tobacco leaves and provide a stable state for the normal growth of tobacco leaves. The rotating platform can automatically rotate according to the set angle; the growing light source mainly provides light for the normal growth of tobacco leaves; imaging The darkroom provides a stable and interference-free imaging environment for tobacco leaf fluorescence imaging; the invention is adopted in the research of tobacco leaf lesion traits, and the detection efficiency of tobacco leaf lesion traits is greatly improved.
Description
technical field [0001] The invention relates to a non-destructive detection device and method suitable for agricultural scientific research personnel to automatically extract and analyze the color, texture, roughness, and fluorescence intensity of tobacco leaves in the field of tobacco leaf disease survey, specifically a high-throughput fluorescence detection system A non-destructive measurement device and method for obtaining tobacco leaf fluorescence images and using image processing means to obtain tobacco leaf lesion information. Background technique [0002] Tobacco leaves are often affected by various unfavorable factors in the process of growth and development, which greatly reduces the yield and the income of agricultural workers. Blind application of pesticides not only cannot effectively prevent and control tobacco leaf diseases, but also causes waste of resources, environmental pollution and other problems. Therefore, disease detection is a key step to effectivel...
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IPC IPC(8): G01N21/64
CPCG01N21/64
Inventor 冯慧叶军立杨万能李峰黄成龙段凌凤郑静山陈国兴熊立仲
Owner HUAZHONG AGRI UNIV