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Research And Application Of Planting Robot Based On Image Recognition

Posted on:2020-04-09Degree:MasterType:Thesis
Country:ChinaCandidate:S J CaoFull Text:PDF
GTID:2428330572457087Subject:Control engineering
Abstract/Summary:PDF Full Text Request
In recent years,promoting modern agricultural mechanization and popularizing agricultural robot is an important measure in our country.Modern agricultural mechanization is a technology that combines mechanical technology and automation technology to replace human and livestock productivity.Agricultural robot is based on robotics and modern agricultural mechanization to replace people's complex operation to complete the agricultural work.Garlic has always been an indispensable ingredient in our cooking.In agricultural production,the way garlic is grown is complex and inefficient.With the advent of the science and technology revolution,the way of garlic cultivation has been changed from artificial cultivation to semi-artificial cultivation,semi-automatic cultivation,and even fully automated plant-growing machines.However,due to the complex method of garlic cultivation,the automation machine due to the technical level is not high enough,resulting in a low cost of production to achieve automation,and the high cost of the machine is not easy to be accepted by farmers.With the progress of science and technology,research on automatic cultivation of garlic has become more and more profound.Based on the analysis of the characteristics of garlic planting method,the paper presents a study on the method of garlic yield in garlic planting,designs the detection of garlic bud by corner detection method on the basis of image recognition,and uses modern mechanized device to transmit the garlic.The garlic planting system based on embedded operating system is developed,and the UI interface of QT system is built,which shows the source image,the processed image and the key parameters,which is convenient for the operator to observe.Through the final orientation of the bud facing through the garlic transmission,the results are compared and analyzed,the validity and real-time of the improved corner detection algorithm and the feasibility of the implant robot are proved,and the key component of the bud orientation of the garlic planting robot is realized.Provides a feasible direction for the automatic cultivation of garlic.
Keywords/Search Tags:Agricultural robot, Image recognition, Conrner detection, Embedded system, OpenCV, Qt system
PDF Full Text Request
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