Global solar radiation (Hg) is a foundational input for calculating evapotranspiration, crop growth, irrigation needs, and ...

Random Forests, a type of “bagging ... Machine learning algorithms train on data to find the best set of weights for each independent variable that affects the predicted value or class.

Franklin Resources on Tuesday announced it acquired Random Forest Capital, an emerging money management firm that invests in marketplace, or peer-to-peer, lending by using machine learning and ...

Increase agricultural productivity in India using machine learning-based crop recommendation systems for improved yields and ...

Another kind of deep learning algorithm—not a deep neural network—is the Random Forest, or Random Decision Forest. A Random Forest is constructed from many layers, but instead of neurons it is ...

Using machine learning models researchers have found in a new study that increased physical activity and reduced sedentary ...

Forest canopy cover measures the coverage of tree crowns from an aerial view. It shows how much a forest's uppermost layer of branches, leaves and vegetation forms a continuous cover over the ground.

Out of a random sample of nearly 1,000 locations across 17 countries, ProPublica’s model identified 51 areas that, in 2021 (the most recent year that satellite image data on forest loss was ...