Spectral assessment of oryza sativa (rice) utilizing a portable leaf spectrometer, UAV, sentinel-2, and automated radiative transfer models operator (ARTMO)

Date of Publication

3-2025

Document Type

Master's Thesis

Degree Name

Master of Science in Physics

Subject Categories

Physics

College

College of Science

Department/Unit

Physics

Thesis Advisor

Edgar A. Vallar

Defense Panel Chair

Maria Cecilia D. Galvez

Defense Panel Member

Tatsuo Shiina
Prane Mariel B. Ong

Abstract/Summary

Improving the agriculture sector requires a comprehensive approach to different key areas. It includes technological advancement, sustainable practices, infrastructure and market access, and a research-driven policy that will address the country's problem in agriculture. Technological advancement requires up-to-date equipment and resources that may cost money, including biotechnology, precision agriculture, and automation.

In this study, a portable leaf spectrometer was developed to provide a solution to the high-cost equipment used in precision agriculture. The leaf spectrometer assesses the spectral properties of Oryza sativa (rice plant) within 475 nm to 750 nm wavelength. The spectra obtained from the portable leaf spectrometer were positively correlated (R2=0.87, RMSE=12.76) to the spectra from the simulation model (ARTMO-Prospect 4 model). Also, the study compared vegetation-derived indices from the simulation model, UAV, and Sentinel-2 satellite data. Based on the simulation model, NDWI obtained a negative correlation with NDVI (R=-0.85) and OSAVI (R=-0.82) and a low correlation with MPRI (R= 0.087). The result shows a similar observation between the UAV and Sentinel-satellite data during the rice phenology reproductive phase. The findings in this study provide a tool to support and improve precision agriculture in the Philippines.

Abstract Format

html

Language

English

Format

Electronic

Keywords

Rice; Spectrometer; Precision farming

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Embargo Period

4-10-2025

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