Results 51 to 60 of about 861 (182)

Advancing Soil Organic Carbon Prediction: A Comprehensive Review of Technologies, AI, Process‐Based and Hybrid Modelling Approaches

Advanced Science, Volume 12, Issue 31, August 21, 2025.
This review highlights advances in soil organic carbon (SOC) quantification using remote sensing, proximal soil sensing, AI (ML and DL), and biogeochemical modelling. Integrating diverse data sources and models improves SOC prediction accuracy. Key priorities include enhancing data availability, refining models, incorporating microbial processes, and ...
Zijuan Ding, Ke Liu, Sabine Grunwald, Pete Smith, Philippe Ciais, Bin Wang, Alexandre M.J.‐C. Wadoux, Carla Ferreira, Senani Karunaratne, Narasinha Shurpali, Xiaogang Yin, Dale Roberts, Oli Madgett, Sam Duncan, Meixue Zhou, Zhangyong Liu, Matthew Tom Harrison   +16 more
wiley   +1 more source

PEDOMETRIA APOIADA EM ATRIBUTOS TOPOGRÁFICOS COM OPERAÇÕES DE TABULAÇÃO CRUZADA POR ÁLGEBRA DE MAPAS PEDOMETRIC TECHNIQUES SUPPORTED IN TOPOGRAPHICAL ATTRIBUTES OF OPERATIONS FOR CROSS-TABULATION OF ALGEBRA MAPS

, 2012
Because soils show a strict relationship with relief, distributions of soil units can be inferred from topography analyses. Geoprocessing techniques can be used to create parametric relief representations from digital terrain models (DTMs), and these ...
C. T. Silveira, C. Oka-Fiori
semanticscholar   +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

Hyperspectral Soil Heavy Metal Prediction via Privileged-Informed Residual Correction

Remote Sensing
This study integrates hyperspectral remote sensing with chemical and pedological data to estimate Zn, Pb, and Cd concentrations in the upper soil layers.
Alen Mangafić, Krištof Oštir, Mitja Kolar, Marko Zupan   +3 more
doaj   +1 more source

Amostragem de solo em plantio direto para aplicação em agricultura de precisão. [PDF]

, 2017
O objetivo deste estudo seria a comparação das diversas técnicas estatísticas disponíveis, visando o estudo da amostragem de solo para plantio direto.
CARVALHO, J. R. P. de
core  

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

Reproductive Management of Dairy Cows with Particular Reference to Organic Systems [PDF]

, 2008
Reproductive efficiency is a major factor affecting production and economic efficiency indairy herds. In seasonally calving herds the requirement of good reproductive performance is of greater importance than in other production systems in order to ...
Diskin, Michel G., Kelly, Frank
core  

Solum depth spatial prediction comparing conventional with knowledge-based digital soil mapping approaches [PDF]

, 2014
Solum depth and its spatial distribution play an important role in different types of environmental studies. Several approaches have been used for fitting quantitative relationships between soil properties and their environment in order to predict them ...
Beven K., Böhner J., Carlos Rogério de Mello, Chartin C., Follain S., Hengl T., Hudson B.D., Jenny H., MacMillan R.A., McBratney A.B., McKay J., Menezes M.D., Menezes M.D., Michele Duarte de Menezes, Moore I.D., Nilton Curi, Odeh I.O.A., Phillip Ray Owens, Qi F., Quinn T., Shi R., Sumfleth K., Sérgio Henrique Godinho Silva, Zhu A.X., Zhu A.X., Zhu A.X., Zhu A.X., Zhu A.X., Zhu A.X., Zhu A.X., Zhu Q.   +30 more
core   +2 more sources