Results 61 to 70 of about 906 (197)
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
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
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. +30 more
core +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
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
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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 +2 more
wiley +1 more source
Using machine learning to update soil survey [PDF]
, 2007 Soil survey in the recent past seems to be taking a paradigm shift with the advent of various geospatial and pedometric techniques. The impetus for this includes both the usability and the limitations associated with traditional soil survey products ...
Subburayalu, Sakthi Kumaran
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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 +9 more
wiley +1 more source
Hyperspectral Soil Heavy Metal Prediction via Privileged-Informed Residual Correction
Remote SensingThis study integrates hyperspectral remote sensing with chemical and pedological data to estimate Zn, Pb, and Cd concentrations in the upper soil layers.
Alen Mangafić +3 more
doaj +1 more source
Regional scale characterization of soil carbon fractions with pedometrics
, 2015 H. Keskin +4 more
openalex +2 more sources