The uptake of machine learning (ML) algorithms in digital soil map** (DSM) is
transforming the way soil scientists produce their maps. Within the past two decades, soil …

Wastewater is an underleveraged resource; it contains pollutants that can be transformed
into valuable high-purity products. Innovations in chemistry and chemical engineering will …

SoilGrids produces maps of soil properties for the entire globe at medium spatial resolution
(250 m cell size) using state-of-the-art machine learning methods to generate the necessary …

Knowledge of spatiotemporal distribution and likelihood of (re) occurrence of salt-affected
soils is crucial to our understanding of land degradation and for planning effective …

The use of mineral phosphorus (P) fertilizers, often referred to as anthropogenic
phosphorus, has dramatically altered the global phosphorus cycle and increased soil …

With the longevity of phosphorus reserves uncertain, distributing phosphorus to meet food
production needs is a global challenge. Here we match plant-available soil Olsen …

Agriculture plays a vital role in feeding the growing global population. But optimizing crop
production and resource management remains a significant challenge for farmers. This …

Soil property and class maps for the continent of Africa were so far only available at very
generalised scales, with many countries not mapped at all. Thanks to an increasing quantity …

The World Soil Information Service (WoSIS) provides quality-assessed and standardised
soil profile data to support digital soil map** and environmental applications at broadscale …

Accurate measurements of maize yields at field or subfield scales are useful for guiding
agronomic practices and investments and policies for improving food security. Data on …