Results 41 to 50 of about 131 (110)

Adjusting Bulk Density Observations in the Hungarian Soil Information and Monitoring System Using Pedotransfer Functions

European Journal of Soil Science, Volume 76, Issue 6, November–December 2025.
ABSTRACT Bulk density (BD) is among the most important physical soil properties, influencing many other soil properties, functions and services. An earlier study revealed that BD observations in the Hungarian Soil Information and Monitoring System (SIMS) contain errors and need correction.
Seyedehmehrmanzar Sohrab, Brigitta Szabó, László Pásztor, András Makó, Gábor Szatmári   +4 more
wiley   +1 more source

A Framework Based on Isoparameters for Clustering and Mapping Geophysical Data in Pedogeomorphological Studies

Soil Systems
Understanding soil variability supports improved land use and soil security. This study aimed to generate uniform geophysical classes by integrating data from three proximal geophysical sensors with synthetic soil and satellite images using machine ...
Gustavo Vieira Veloso, Danilo César de Mello, Heitor Paiva Palma, Murilo Ferre Mello, Lucas Vieira Silva, Elpídio Inácio Fernandes-Filho, Márcio Rocha Francelino, Tiago Osório Ferreira, José Cola Zanuncio, Davi Feital Gjorup, Roney Berti de Oliveira, Marcos Rafael Nanni, Renan Falcioni, José A. M. Demattê   +13 more
doaj   +1 more source

Global mapping of volumetric water retention at 100, 330 and 15 000 cm suction using the WoSIS database

International Soil and Water Conservation Research, 2023
Present global maps of soil water retention (SWR) are mostly derived from pedotransfer functions (PTFs) applied to maps of other basic soil properties.
Maria Eliza Turek, Laura Poggio, Niels H. Batjes, Robson André Armindo, Quirijn de Jong van Lier, Luis de Sousa, Gerard B.M. Heuvelink   +6 more
doaj   +1 more source

Agriculture 4.0 as a way forward to sustainable agriculture in Australia

JSFA reports, Volume 5, Issue 8, Page 337-358, August 2025.
Abstract Background Agriculture in Australia faces significant challenges driven by climate change, including extreme weather events, prolonged droughts, biodiversity loss and declining productivity. These pressures demand innovative solutions to ensure the sustainability and resilience of agricultural systems.
Fahad Khan
wiley   +1 more source

A Note on Spurious Correlations and Explainable Machine Learning in Digital Soil Mapping

European Journal of Soil Science, Volume 76, Issue 4, July–August 2025.
ABSTRACT The use of machine learning as a method for knowledge discovery is often critically discussed in soil science and related environmental disciplines. Reviews of the use of machine learning in digital soil mapping identified few studies that incorporated existing soil knowledge of transformation and translocation processes in soils and ...
Tobias Rentschler, Thomas Scholten
wiley   +1 more source

Artificial intelligence in soil science

European Journal of Soil Science, Volume 76, Issue 2, March–April 2025.
ABSTRACT Few would disagree that artificial intelligence (AI) holds potential for advancing knowledge and innovation. Over the past decades, substantial research has been devoted to the development and application of AI in soil science. While most of today's AI applications in soil science are related to machine learning (ML), AI also encompasses other
Alexandre M. J.‐C. Wadoux
wiley   +1 more source

Spatial Prediction of Organic Matter Quality in German Agricultural Topsoils

Agriculture
Soil organic matter (SOM) and the ratio of soil organic carbon to total nitrogen (C/N ratio) are fundamental to the ecosystem services provided by soils.
Ali Sakhaee, Thomas Scholten, Ruhollah Taghizadeh-Mehrjardi, Mareike Ließ, Axel Don   +4 more
doaj   +1 more source

Development of soil spectroscopy models for the Western Highveld region, South Africa: Why do we need local data?

European Journal of Soil Science, Volume 75, Issue 6, November-December 2024.
Abstract The increasing global demand for sustainable agriculture requires accurate and efficient soil analysis methods. Conventional laboratory techniques are often time‐consuming, costly and environmentally damaging. To address this challenge, we developed and validated locally calibrated mid‐infrared (MIR) spectroscopy models for predicting key soil
Anru‐Louis Kock, Prudence Dimakatso Ramphisa‐Nghondzweni, George Van Zijl   +2 more
wiley   +1 more source

Connecting forest soil properties with ecosystem services: Toward a better use of digital soil maps—A review

Soil Science Society of America Journal, Volume 88, Issue 4, Page 981-999, July/August 2024.
Abstract The soil supports many ecosystem services (ES) essential to human well‐being. Rapid developments in digital soil mapping (DSM) allow the mapping of soil types and soil properties with improved resolution and accuracy. However, the potential of DSM to improve the assessment and mapping of ES is not fully exploited.
David Paré, Fidèle Bognounou, Erik J. S. Emilson, Jérôme Laganière, Jason Leach, Nicolas Mansuy, Christine Martineau, Charlotte Norris, Lisa Venier, Kara Webster   +9 more
wiley   +1 more source

Resistance against tree encroachment is driven by richness and identity of herbaceous resident species

Applied Vegetation Science, Volume 27, Issue 2, April/June 2024.
Herbaceous plant covers can inhibit tree encroachment in many managed and semi‐natural grasslands, yet identifying the primary influence of seed mixture composition or diversity poses challenges. This study reveals that herbaceous species identity more accurately predicts seed mixture resistance to tree encroachment.
Rolando Trejo‐Pérez, Pierre‐Luc Chagnon, Patrick Boivin, Jacques Brisson   +3 more
wiley   +1 more source