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

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ID: 287236
2025
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Abstract
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.
Reference Key
persistent_1760660985_68f18df9753ab Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Bulan, Jejomar A.
Journal Malay Journal
Year 2025
DOI
DOI not found
URL
https://animorepository.dlsu.edu.ph/etdm_physics/20
Keywords Keywords not found

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