A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

Abstract: Random forests are a machine learning method used to automatically classify datasets and consist of a multitude of decision trees. While these random forests often have higher performance ...

Migratory birds that fill North American forests with spring songs depend on Central America’s Five Great Forests far more than most people realize. New research shows these tropical strongholds ...

When you sip a cup of coffee or use a rubber band, you’re benefiting from tropical forests. These lush ecosystems provide countless products we rely on daily — from food to materials like wood and ...

Australia’s tropical forests are the world’s first to flip a worrisome switch. The forests are now putting more carbon into the atmosphere than they are taking out, researchers report in the Oct. 16 ...

Four years after a global pledge to end deforestation, the amount of money going toward conserving and restoring forests is not enough, the analysis found. By Sachi Kitajima Mulkey Nations are not ...

The primary goal of this project is to leverage machine learning algorithms to predict the likelihood of an individual developing lung cancer. By examining key patient data points and employing data ...

Abstract: The paper aims to use data visualization and prediction techniques for diabetes using the Random Forest (RF) algorithm, enhancing the healthcare analytics process. It intends to explain the ...

Agriculture Secretary Brooke Rollins said the Clinton-era rule barring road construction and logging was outdated and “absurd.” By Lisa Friedman The Trump administration said on Monday that it would ...

The application of GRACE satellite-derived Total Water Storage (TWS) data for local water management is constrained by its coarse spatial resolution (100-300 km). To address this limitation, a Random ...