Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

This is a preview. Log in through your library . Abstract The guild and functional group concepts are generally accepted as suitable units in ecosystem modelling, when interspecific relationships and ...

The study used a framework that combines geotechnical data with artificial neural networks—a type of machine learning ...

The incorporation of ethnopedological knowledge in soil science and the inclusion of indigenous communities as beneficiaries of the agricultural technology are indispensable premises to make a better ...

Soil nematodes represent a major component of soil communities in terrestrial ecosystems, and play an important role in regulating nutrient cycling and soil health. High-throughput sequencing ...

Cranfield University experts have developed a new method to precisely identify soil erosion hotspots along waterways, allowing for preemptive mitigation measures to be put in place that protect land ...