Research On The Application Of Remote Video Image Analysis And Recognition Technology In Maize Production

Thanks to the rapid development of computer technology,more and more production mode has become modern.Not only widely applied in military,civil,and also achieved great success in agriculture.Modern agriculture not only broke the traditional agricultural production mode,but also become an effective way to increase the national economy,with the development of infinite potential.The use of computer technology toagricultural production and agricultural development in the phenomenon is also more and more.Maize is one of the large-scale food crops in China,In recent years the maize yield due to the influence of disease than in previous years dropped a lot.In the practice of traditional agricultural production,most of the diseases were analyzed to identify with the naked eye,because the human eye recognition not timely find the condition often will cause great impact on food production..But will be applied to maize disease recognition not only can detect the disease early diagnosis and treatment of computer image processing technology,but also saves a lot of manpower and material resources.This paper is intended to use image processing technology to maize disease(leaf blight,gray spot disease)analysis and image recognition,design and implementation of maize production remote video image analysis and identification classification system The main research contents are as follows:(1)Based on the Internet of Things technology in Jilin Province,Nong'an County town and town of Kai'an established farmland environment and crop growth monitoring station,at the same time,the real-time collection,storage and analysis system of temperature and humidity of maize growing soil is constructed,create a collection of images of the database,knowledge base and model library,accumulate materials for later research.(2)Using the genetic algorithm in data mining technology to optimize the image processing,according to the results of the establishment of the optimal image database(3)According to the image properties,the image preprocessing model was established by SIMULINK simulation modeling center in MATLAB platform.Image recognition was carried out by image smoothing,color extraction and shape extraction.(4)Using the data mining technology,image processing technology and MySql database through the Java platform,the design and implementation of maize production remote video image analysis and identification classification system.The system mainly includes: knowledge query function module,image acquisition function module,processing and analysis function module and help function module.In this paper,the data collection technology,image processing technology,database construction of the production of remote video image analysis and identification classification system.The aim of this paper is to optimize the image quality,highlight the characteristics of maize disease,enhance the real-time and accurate diagnosis of maize video remote video image,and provide technical support for intelligent decision-making of maize production.