Design And Implementation Of Intelligent Management Information System For Cotton Planting

Cotton is a main cash crop in China.Improving the management efficiency of cotton cultivation can effectively increase cotton production and improve farmers' income.With the progress of science and technology,the computer information technology is applied to the management of cotton planting,and the management of cotton planting is better,and the quality and efficiency of cotton are achieved.The construction of cotton intelligent management information system can help managers to understand the growth of cotton in a timely manner,speed up the transmission of information in the stage of cotton cultivation,and improve the management efficiency.Cotton planting in Shandong province is mainly concentrated in the western Shandong area,and Tai'an is one of them.In 2016,the cotton planting area in Tai'an reached 69293 mu.Therefore,the development of cotton information management system has a certain significance for improving cotton production in Tai'an.Some areas still use manual labor management to waste human and material resources and reduce management efficiency.No information interaction is realized at every stage of cotton planting.Managers can not clearly understand the information of cotton growth and affect the coordinated operation of the whole process.In recent years,the total cotton output of Shandong province has been increasing or decreasing in different trend,but the fluctuation is not large.The growth of cotton is closely related to the weather conditions.The relationship between the growth of cotton and the weather conditions is analyzed.The weather factors can be used as a factor to predict the yield of cotton to help the managers to make decisions,and also to guide the growers to make scientific and reasonable artificial intervention according to the weather conditions,and then improve the cotton yield.The cotton bollworm is one of the main pests of cotton.It studies the occurrence of cotton bollworm,and predicts the occurrence degree of cotton bollworm.It can effectively guide the cotton farmers to prevent and control the cotton bollworm.The main contents of this paper are as follows:(1)The correlation between cotton yield and meteorological data in Tai'an was analyzed,and the main influencing factors of cotton yield were determined.In order to speed up the training of the model,normalization of meteorological factors and cotton yield data is carriedout.Based on support vector machine,a cotton yield prediction model is built,and the prediction of cotton yield is effective.(2)The correlation analysis was made on the data of cotton bollworm in Tai'an,the meteorological data of the occurrence of Helicoverpa armigera at the same time as well as the base number of the insect source,and the main factors affecting the occurrence of cotton bollworm were determined.In order to accelerate the convergence speed,we normalize the data of meteorological factors,insect source base and 100 plant eggs.BP neural network is constructed based on the model of cotton pest forecasting,prediction of cotton pests,good effect.(3)Taking Tai'an city of Shandong Province as an example,the intelligent management information system of cotton planting was designed and realized on the basis of exchanging and consulting the relevant reference documents with the plant protection station.The system mainly includes information retrieval,planting management,data analysis and system management.Cotton growers can manage the cotton according to the planting management measures at each stage of cotton growth in the system.It can be prepared in advance according to the pre test of the occurrence of cotton bollworm pests in the data analysis module;the management personnel can be prepared in advance.According to the information retrieval of cotton growth information in time to understand the growth of cotton,through the data analysis module of cotton yield prediction in time to adjust the cotton planting area and so on.This system can improve the efficiency of cotton planting management,help managers make decisions and reduce economic losses.