An international peer-reviewed journal publishing original research, reviews, and perspectives across applied sciences since 2014.
This study presents a novel framework combining remote sensing data with ensemble machine learning models to predict soil organic carbon dynamics across diverse agricultural landscapes in Romania, demonstrating an R² of 0.91 on validation data...
We invite submissions exploring novel applications of artificial intelligence in environmental monitoring and climate change adaptation. Deadline: September 30, 2026.
Call for PapersWe are pleased to announce that RJAS has been accepted for indexing in Web of Science Emerging Sources Citation Index, effective January 2026.
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