Early Warning System Using Change Point Analysis to Detect Microclimate Anomalies
Penulis/Author
MUHAMMAD SALMAN I C (1); Ir. Andri Prima Nugroho, S.T.P., M.Sc., Ph.D., IPU., ASEAN Eng., APEC Eng. (2); GUYUP MAHARDHIAN D P (3); Dr. Ngadisih, S.T.P., M.Sc. (4); Prof. Dr. Ir. Lilik Sutiarso, M.Eng. (5); Takashi Okayasu (6)
Tanggal/Date
10 2022
Kata Kunci/Keyword
Abstrak/Abstract
The agricultural sector is required to provide food products for human needs. To increase agricultural yields, precision agriculture approaches are required by the utilization of information and technology to maximize agricultural productivity. Precision agriculture systems cannot be separated from monitoring and controlling the environment. This system is necessary to keep the surrounding environment or microclimate by plants requirements. However, during the monitoring and control process, some failures may occur due to technical and non-technical problems, and they will cause damage if not treated immediately. Therefore, to keep the microclimate under control according to plant growing requirements, an early warning system is necessary. The objective of this study was to develops an early warning system for microclimate anomalies using Change Point Analysis based on evapotranspiration calculations. This system works to detect changes in microclimate anomalies caused by malfunctions in the monitoring or control system. Microclimate time-series data obtained from monitoring in the growth chamber are used to calculate evapotranspiration. To represent the environmental condition inside the systems, reference evapotranspiration time-series data estimated from climate data using Penmann-Monteith 56 model, were analyzed using Singular Spectrum Transformation (SST) to obtain the change point score. As the result of the performance test and observation, microclimate anomalies inside the growth chamber could be detected by the change point detection representing by the change point score.
Level
Internasional
Status
Dokumen Karya
No
Judul
Tipe Dokumen
Aksi
1
ICoSIA 2021 (Early Warning System Using Change Point Analysis__) Cek Similarity.pdf
Cek Similarity
2
ICoSIA 2021 (Early Warning System Using Change Point Analysis__) Full Dokumen.pdf
[PAK] Full Dokumen
3
6_Surat Keterangan Publikasi untuk PAK_Salman.pdf
Dokumen Pendukung Karya Ilmiah (Hibah, Publikasi, Penelitian, Pengabdian)