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Research Of The Recognition Method Of Garlic Direction In Planting Machinery

Posted on:2012-02-02Degree:MasterType:Thesis
Country:ChinaCandidate:Y F GuoFull Text:PDF
GTID:2213330371452744Subject:Agricultural Electrification and Automation
Abstract/Summary:PDF Full Text Request
Mechanized planting of garlic Garlic has long been a problem in the production process, our garlic planting area, output and export volume living in the world. In China, the current status of the garlic grown mainly by hand cultivation, the labor intensity of the larger, poor quality of planting, planting garlic in urgent need of machinery to farming.The key of garlic planting have two factors, one is the choice of garlic, should choose the pellet full of the same as seed; The second is in the process of planting, should try to ensure the direction of garlic, its make a garlic in the garlic pointed up, will greatly increase the output of garlic and improve quality. Related experimental results show that garlic clove pointed down the growth of seeding garlic quality is pointed up sowing growth double the 61% of the mass of garlic, diameter is its 80%. This shows garlic clove pointed down will seriously affect the growth of garlic. Because of the irregular shape garlic and garlic to the same direction of the index is only the use of mechanical method the effect is not obvious, and pattern recognition technique can part of the simulated identification function, this paper analyzes the garlic image acquisition system on the basis of basic needs, this paper expounds the basic image preprocessing method, in view of the garlic binary image and boundary extraction, analyzes the characteristics of the same big tip, and USAN value and curve bending degree two characteristics analysis, the final USAN value as recognition with characteristics, and identify the same big tip position. According to the garlic clove pointed and garlic centroid, realize the disc pointed adjust the Angle of computation.
Keywords/Search Tags:garlic, planting, machinery, characteristic features, bending degree
PDF Full Text Request
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