Using Cloud Computing System for Sugarcane Pests Monitoring in Mill Plantation Areas

Abstract

This study was to demonstrate the application of cloud computing to store and process data of sugarcane diseases and insects infestation in a mill plantation area. Those pests included eggs and worms of Chilo infuscatellus, Chilo sacchariphagus, Sesamia inferens, Scripophaga excerptalis, and Chilo sacchariphagus stramineelus, and white leaf, smut, and sugarcane leaf scald diseases in this study. The system was designed to have 3 majors components, namely 1) data storage, 2) data survey, and 3) data process. Cloud computing in term of service as a platform and database server was designed to be the first component. Relational database in term of data tables was adopted to store data. Web application was developed to collect survey data from a smartphone and stored them into previously created data tables. The second component was designed to use a smartphone to collect and store survey data as a data file resided in it. The smartphone app was developed to imitate a disease and insect survey paper form. The mill’s surveyors were responsible for surveying, collecting, and storing survey data. The last component was designed to use a laptop computer to process disease and insect pest survey data. Window base application was developed under descriptive statistics to process survey data. This application would process data under specific surveying time period. Results showed that the system was highly stable concerning on field surveying, transmit and store data to cloud, and report processing. The system requires a connection to the internet, either local area network or mobile data. The best benefits of the system is that in any area of no internet connection, the surveyors still collect a plot pest data upon its finish. As soon as the internet connection is available, the surveyors can transmit collected data to cloud latter. The content reveals example windows of apps for collecting data via a smartphone and for report processing data. The system allows to add disease and insect types to be surveyed and reported as of interest in the future