Researchers have shown how random forest algorithms can be applied to complex ecological models to uncover the mechanisms driving system behavior. By analyzing a stage‑structured consumer‑resource ...

Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...

Indonesia experiences massive forest fires as the dry season approaches. They are a major environmental challenge because ...

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...

The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...

As atmospheric carbon dioxide levels continue to rise, accurately measuring the carbon stored in the world's forests has become more critical than ever. Forests are vital carbon sinks, but traditional ...

Missing data can derail even the most promising analysis, but modern imputation techniques are transforming this challenge into a solvable problem. From straightforward substitutions to advanced ...

Florida’s Indian River Lagoon has been an ecosystem in decline going back to 2011, when harmful algal blooms led to a severe ...

Discover how explainable AI enhances Parkinson’s disease prediction with improved accuracy and clinical interpretability.

Harvard University is offering free online courses for learners in artificial intelligence, data science, and programming.

NASA’s TESS uncovers 11,554 exoplanet candidates in the T16 planet hunt, including more than 10,000 new ones around faint ...