Participatory approaches to data gathering and research which involve farmers, laypeople,
amateur soil scientists, concerned community members or school students have attracted …

Plants deploy both primary and species-specific, specialized metabolites to communicate
with other organisms and adapt to environmental challenges, including interactions with soil …

Due to cost constraints, field texture classes estimated by hand-feel by soil surveyors are
more abundant than laboratory measurements of particle-size distribution. Thus, there is a …

Digital maps of soil properties are now widely available. End-users now can access several
digital soil map** (DSM) products of soil properties, produced using different models …

Digital soil map** (DSM) is commonly conducted using input soil attributes derived from
laboratory analyses of geographically referenced samples. Field observations are often …

A machine learning based model is developed to classify the soil texture [Clay, Sandy clay
(SC), Sandy clay loam (SCL), Sandy loam (SL) and Sand]. The model utilizes the data …

On the Ground• High-quality rangeland data are critical to supporting adaptive management.
However, concrete, cost-saving steps to ensure data quality are often poorly defined and …

With regard to the differences between soil particle size distribution (PSD) obtained by sieve-
sedimentation methods (SSMs), eg, the sieve-pipette method (SPM) and the laser diffraction …

Bromus tectorum (cheatgrass) has successfully invaded and established throughout the
western United States. Bromus tectorum grows early in the season and this early growth …

One of the major causes of poverty globally is land degradation and poor natural resource
conservation, leading to reduced agricultural productivity. This degradation is often caused …