Year: 2026
Type: article
Abstract: The goal of this study is to use image processing technology to map the organic matter content of soil in oil palm plantations. The data set comprises photos of oil palms and bare land, as well as field measurements of pH, humidity, temperature, total dissolved solids, and electrical conductivity. Correlation analysis revealed a strong link between picture spectral components (particularly in the blue channel, r = 0.3640) and soil organic matter content. The distribution of organic matter content ranges from 4.5 to 5.5%, with an average of around 5%. The image processing-based predictive model successfully mapped the spatial variation of organic matter content with high accuracy. The mapping results demonstrate spatial variability, which can be exploited to support precision agriculture in oil palm areas. Keywords: soil organic matter, image processing, oil palm, mapping, precision agriculture
Source: Jurnal Ilmu Pertanian Indonesia
Institution: Samudra University
Language: English
Subfield: Soil Science
Domain: Life Sciences
SDGs: Zero hunger, Life on land
Open Access status: gold
Estimated APC paid: $75
OpenAlex ID: W7155408656