Abstract:

Accordingly, embodiments herein disclose system and method for early detecting and analyzing the health of oil palm trees using IoT and stream data analytics classification based near-infrared spectrometer (NIRS). The present invention comprises an integrated near-infrared (NIR) spectrometer acquired spectral data from leaves and basal stem of oil palm seeding through a Raspberry Pi 3; a R-server and a cloud connector embedded in the Raspberry Pi 3 to connect the prototype of cloud for web-based configuration management. The R-server is established to enable access through a plurality of electronic devices to monitoring the analysis of the spectral data. The spectral data is transferred to the R-server to endure Machine learning classification such that the classified spectral data is streamed to a database. Hence, the raw data are stored in the database and can be used for predictive analysis of new oil palm samples such that real-time detection of an early Ganoderma boninense detection system is enabled at the early stage of infection.