Work

Predicting Rice Leaf Area Index Using Hyperspectral Data, Principal Component Analysis, and Machine Learning

Year: 2025

Type: conference-paper

Source: IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)

DOI: 10.1109/agers67633.2025.11446369

Authors: Loreniel E. Anonuevo, John Riz V. Bagnol, Jay Melvin B. Segales, Arnaldo C. Gagula, Roger T. Sarmiento, Jayrold P. Arcede

Institutions: Caraga State University, Université de Technologie de Compiègne

Language: English

Topic: Remote Sensing in Agriculture

Subfield: Ecology

Field: Environmental Science

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: closed

Funder: Research and Development

OpenAlex ID: W7140690482

FWCI:

Cites: 13

Cited by:

Related to: 10