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The Study Of The Truck-mounted Ultra Low-volume Sprayer And Its Target Image Recognition

Posted on:2008-10-09Degree:MasterType:Thesis
Country:ChinaCandidate:R Y LiFull Text:PDF
GTID:2143360215473926Subject:Mechanical and electrical engineering
Abstract/Summary:PDF Full Text Request
Presently the infestation of the forest and agriculture plant diseases and insects inChina causes severe problems, while the efficiency of treatment is very low, Becausethe plant-protection equipments are poor, and the spray technology of our country islag. In order to meet the developing requirement of the forest and agriculture, thispaper brought electronics, information and automation technology andultra-low-volume spraying, centrifugal spraying, air-assisted spraying technologyinto sprayers, and finally manufactured air-assisted ultra-volume sprayer.First, we designed the spout's structure of air-pipe system which was theultra-volume sprayer's crucial system, and we made experiments on five differentspouts about the relation between the wind velocity and the spraying distance, thenselected the reasonable structure, and finally fit a formulary based on the least squaremethod.Second, we designed the liquid-level measure device and the light-sound alarmannunciator, because the tank of the sprayer usually was placed inside the cover, sowe cannot know the real-time liquid-lever. After designing the liquid-level automeasure device, the light-sound alarm annunciator and displaying module, we canknow conveniently the real-time liquid-level of the tank. and what's more, when theliquid medicine is under the threshod which is set first, it can give an alarm.Third, after studying the theory of the digital image processing, we contrastedseveral preprocessing methods, several edge detection and segmentation methods.the first step, changing the original color image to gray image, processing the grayimage by histogram equalization and filter operation to enhance the image's contrast.The second step, after preprocessing, the profile of the target image was segmentedout using auto threshoding segmentation method, the last step, figureing out the keyparameters, eg: area, centroid.Finally, based on the results of the image processing, the images wereclassified, and each nozzle was controlled by the single chip.
Keywords/Search Tags:Truck-mounted sprayer, Liquid-lever detection, Image processing, Target image recognition
PDF Full Text Request
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