Results 51 to 60 of about 182 (139)

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

Pedometric mapping for soil fertility management – A case study

Journal of the Saudi Society of Agricultural Sciences, 2021
Information about soil physico-chemical parameters plays an important role in precision farming. To examine the relationship among soil properties, pedometric mapping is essential and has been widely applied in agricultural activities. This paper is aimed at soil nutrient assessment by generating the geospatial distribution maps for Kestur, a village ...
H.U. Leena, B.G. Premasudha, S. Panneerselvam, P.K. Basavaraja   +3 more
openaire   +2 more sources

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

Mapping soil corrosivity potential to exclusion fencing using pedotransfer functions and open‐source soil data

Soil Use and Management, Volume 40, Issue 1, January 2024.
Abstract Soil corrosivity is a term used to describe the corroding susceptibility (risk) of metal infrastructure in different soil environments. Soil corrosivity mapping is a crucial step in identifying potentially problematic, high‐maintenance fence lines and can help improve fence longevity by identifying soil environments where the use of more ...
Andrea D. Stiglingh, Luke M. Mosley, Ronald J. Smernik, Robert W. Fitzpatrick   +3 more
wiley   +1 more source

Prediction of soil fertility properties in Southern Brazil via proximal sensing

Anais da Academia Brasileira de Ciências
Although proximal sensing coupled with machine learning (ML) algorithms have been successful for characterizing soils, questions remain regarding their effectiveness under varied soil conditions.
STEFAN D. NACHTIGALL, MARCELO MANCINI, RENATA A. REIS, ELIAS FRANK DE ARAÚJO, MARCO AURÉLIO C. CARNEIRO, NILTON CURI, SÉRGIO HENRIQUE GODINHO SILVA   +6 more
doaj   +1 more source