DESIGN OF RICE REGIONAL TEST INFORMATION COLLECTION SYSTEM BASED ON CLOUD COMPUTING

Abstract

This paper combines the image processing and analysis technology of artificial intelligence to realize the function of farmland data acquisition and analysis. The data acquisition function is completed by different types of sensors. The collected information can be divided into two categories: meteorological information and image and GPS information. Based on cloud computing technology, an information collection system for rice regional experiment was established. The information collected by the sensor was analysed by cloud computing technology, which provided a basis for agronomic operation and result evaluation of regional experiment. The test results show that there is no significant difference between the rice data collected by cloud computing and the manually collected rice data. It can replace the manually collected rice information, reduce labour costs and improve experimental quality. Regional test of crop varieties is an intermediate link in the breeding and popularization of new varieties, and the results of regional test are the main basis for the approval of crop varieties. With the popularization and application of network, it brings opportunities for the networking of regional test management, statistics and variety evaluation. At the same time, with the help of network function, it can realize the online transmission of data, solve the delay problem of regional test results, and query the statistical analysis and evaluation results of regional test at any time.