Research On Key Technology Of Tomato Pest Control Based On Trusted Authentication

The mining and application of agricultural big data is based on big data analysis,using the concept,technology and method of big data to deal with a large amount of data generated in the whole chain of agricultural production and sales,from which we can get useful information to guide the process of agricultural production and management,circulation and consumption of agricultural products.It is of great significance to promote the practical application of big data technology in the field of agriculture,and to excavate and analyze the internal laws and relations of agricultural data for the realization of agricultural informatization,intelligence and modernization.The research and application of agricultural big data in China is still in its infancy,and the universal application of agricultural big data is still facing great challenges.At present,the development of agricultural big data sources in China is insufficient.The data mainly comes from the collection of professional institutions and professionals,and the lack of data is a common problem.In the identification of agricultural diseases and insect pests,the identification method of diseases and insect pests is still based on manual identification and judgment,which has certain limitations.The release of common crop diseases and insect pests early warning information is timely,safe and reliable Due to the lack of pertinence and the inflexibility of information release,it is difficult to achieve accurate control of diseases and pests.Tomato is the most common vegetable in our life,which plays an important role in national life.Once tomato is attacked by diseases and insect pests,its productivity will be greatly reduced.Using tomato big data to provide tomato growers with tomato pest control services can effectively improve the intelligent and automatic level of tomato planting,and achieve cost saving and efficiency.In this paper,the research on Key Technologies of tomato pest control based on trusted authentication includes credible collection of tomato planting data,intelligent identification of pests and diseases,accurate release of early warning information in designated areas,etc.The main work is as follows:(1)In view of the lack of tomato data and the low reliability of data,a tomato data collection method based on RSA trusted authentication was proposed.By widening the data collection path,the cooperation mechanism of active integration and mutual support among growers,scientific research and technical personnel,relevant units and agricultural service merchants is constructed,and the majority of growers are mobilized to participate in tomato data collection.Growers use RSA algorithm to sign the collected data,and the signature is verified by the platform,so as to realize the reliable and reliable collection of large-scale tomato data.Through the experimental simulation,this paper compares and analyzes the data processing effect of several common hash algorithms on 20400 tomato pest images.The process of signature and authentication for a large number of tomato data is realized.(2)In order to solve the problems of low recognition accuracy and low training efficiency of traditional lenet-5 in image classification of complex texture such as tomato leaf diseases and insect pests,the traditional lenet-5 was improved.The data set of tomato diseases and insect pests was expanded by using data enhancement method.The improved lenet-5 was compared and analyzed by using the expanded data set.An improved model of traditional lenet-5 was proposed.The recognition rate of tomato diseases and insect pests reached 95.3%.Based on this model,a tomato pest identification service system based on Android is developed.(3)In order to solve the problems that the timeliness,security and pertinence of the early warning information of tomato diseases and insect pests are not enough,and the information release method is not flexible enough,a tomato diseases and insect pests early warning information release scheme based on and gates CE is proposed.Under the assumption of heq,the correctness and safety of the scheme are proved.And through the way of experimental simulation,the scheme is applied to the value and sensitivity of tomato diseases and pests early warning information release,to achieve the early warning information security,targeted,timely release.