Development of Real-time Change Point Analysis for Field Environmental Information in Agriculture
Penulis/Author
Ir. Andri Prima Nugroho, S.T.P., M.Sc., Ph.D., IPU., ASEAN Eng., APEC Eng. (1); Prof. Dr. Ir. Lilik Sutiarso, M.Eng. (2)
Tanggal/Date
2013
Kata Kunci/Keyword
Abstrak/Abstract
Prehension and evaluation of field environmental conditions are very important tasks in agriculture. To enhance the agricultural production system, an informatization agricultural supporting system ”Agri-eye” has been developed based on a cloud-computing scheme. It consists of work recording, actuation and field environmental monitoring system. Regarding the environmental observation, monitoring nodes have been installed in several greenhouses mainly in Fukuoka and Oita, Japan up to now. The environmental data have been stored in the database system. Nevertheless, the data stored in the database gradually expanded due to long-term field monitoring. The authors have tried to utilize the feature value hidden in the spacious environmental data for the present dynamical analysis. Ide and Inoue (2005) have proposed the singular spectrum transformation (SST), which uses the eigenvalues ? and the eigenvectors U for a characteristic matrix formed from a set of time series data and then verified that the SST is capable of detecting the change points from an arbitrary time series data automatically and systematically. Okayasu et al. (2012b) applied this method to evaluate the environmental dynamics for CO2 concentration in a tomato greenhouse. In order to dissemination of environmental information and analysis result, in this study, the change point analysis using the SST mentioned above was adopted in a real-time application for detecting change points from the environmental time series data. The validity of the method and performance of web-application will be verified by using the environmental data stored in the Agri-eye database.
