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Yield Modeling of Baromi2 Rice Using Sentinel-2 by lakshmimsec22 is a document available to read on EtoBox.
This study develops a modeling framework to analyze yield variability in Baromi2 rice using Sentinel-2-derived phenological metrics and environmental factors across ten regions in South Korea. The research employs Random Forest regression to assess the impact of phenology and environmental variables on rice yield, revealing that phenological indicators significantly mediate the effects of soil and terrain. The findings support precision agriculture applications and highlight the importance of integrating sa
- Author
- lakshmimsec22
- Language
- EN