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Mapping peat in Scotland with remote sensing and site characteristics

European journal of soil science, 2017-01, Vol.68 (1), p.28-38

Aitkenhead, M. J.

2017

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Trajectories toward maximum power and inequality in resource distribution networks

PloS one, 2020-03, Vol.15 (3), p.e0229956-e0229956

2020

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A co-evolving decision tree classification method

Expert systems with applications, 2008, Vol.34 (1), p.18-25

Aitkenhead, M.J.

2008

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Predicting land cover using GIS, Bayesian and evolutionary algorithm methods

Journal of environmental management, 2009, Vol.90 (1), p.236-250

2009

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Automating land cover mapping of Scotland using expert system and knowledge integration methods

Remote sensing of environment, 2011-05, Vol.115 (5), p.1285-1295

2011

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Prediction of soil characteristics and colour using data from the National Soils Inventory of Scotland

Geoderma, 2013-06, Vol.200-201, p.99-107

2013

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Spatial and temporal variation of dissolved organic carbon export from gauged and ungauged watersheds of Dee Valley, Scotland: Effect of land cover and C:N

Water resources research, 2007-05, Vol.43 (5), p.W05442-n/a

2007

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Estimating soil properties from smartphone imagery in Ethiopia

Computers and electronics in agriculture, 2020-04, Vol.171, p.105322, Article 105322

2020

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Estimating changes in Scottish soil carbon stocks using ECOSSE. I. Model description and uncertainties

Climate research, 2010-12, Vol.45, p.179-192

2010

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Neural network integration of field observations for soil endocrine disruptor characterisation

The Science of the total environment, 2014-01, Vol.468-469, p.240-248

2014

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UK food and nutrition security during and after the COVID‐19 pandemic

Nutrition bulletin, 2021-03, Vol.46 (1), p.88-97

2021

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Optimisation of competition indices using simulated annealing and artificial neural networks

Ecological modelling, 2008-06, Vol.214 (2), p.375-384

2008

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Development and testing of a process-based model (MOSES) for simulating soil processes, functions and ecosystem services

Ecological modelling, 2011-10, Vol.222 (20), p.3795-3810

2011

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Classification of Landsat Thematic Mapper imagery for land cover using neural networks

International journal of remote sensing, 2008-04, Vol.29 (7), p.2075-2084

2008

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Mapping soil carbon stocks across Scotland using a neural network model

Geoderma, 2016-01, Vol.262, p.187-198

2016

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Weed and crop discrimination using image analysis and artificial intelligence methods

Computers and electronics in agriculture, 2003-08, Vol.39 (3), p.157-171

2003

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Modelling DOC export from watersheds in Scotland using neural networks

Computers & geosciences, 2007-03, Vol.33 (3), p.423-436

2007

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Predicting soil chemical composition and other soil parameters from field observations using a neural network

Computers and electronics in agriculture, 2012-03, Vol.82, p.108-116

2012

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Measuring heterogeneity in soil networks: a network analysis and simulation-based approach

Ecological modelling, 2021-01, Vol.439, p.109308, Article 109308

2021

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Neural network time series prediction of environmental variables in a small upland headwater in NE Scotland

Hydrological processes, 2008-07, Vol.22 (16), p.3091-3101

2008

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Agricultural census data and land use modelling

Computers, environment and urban systems, 2006-11, Vol.30 (6), p.799-814

2006

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Improving the effectiveness of angular dispersion in plant neighbourhood models

Ecological modelling, 2010-07, Vol.221 (13), p.1649-1654

2010

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On using the precise sensor

Advances in animal biosciences, 2017-07, Vol.8 (2), p.193-198

2017

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Evaluating Neural Networks and Evidence Pooling for Land Cover Mapping

Photogrammetric engineering and remote sensing, 2008-08, Vol.74 (8), p.1019-1032

2008

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Mapping land cover from detailed aerial photography data using textural and neural network analysis

International journal of remote sensing, 2007, Vol.28 (7), p.1625-1642

2007

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Mapping peat in Scotland with remote sensing and site characteristics

Trajectories toward maximum power and inequality in resource distribution networks

A co-evolving decision tree classification method

Predicting land cover using GIS, Bayesian and evolutionary algorithm methods

Automating land cover mapping of Scotland using expert system and knowledge integration methods

Prediction of soil characteristics and colour using data from the National Soils Inventory of Scotland

Spatial and temporal variation of dissolved organic carbon export from gauged and ungauged watersheds of Dee Valley, Scotland: Effect of land cover and C:N

Estimating soil properties from smartphone imagery in Ethiopia

Estimating changes in Scottish soil carbon stocks using ECOSSE. I. Model description and uncertainties

Neural network integration of field observations for soil endocrine disruptor characterisation

UK food and nutrition security during and after the COVID‐19 pandemic

Optimisation of competition indices using simulated annealing and artificial neural networks

Development and testing of a process-based model (MOSES) for simulating soil processes, functions and ecosystem services

Classification of Landsat Thematic Mapper imagery for land cover using neural networks

Mapping soil carbon stocks across Scotland using a neural network model

Weed and crop discrimination using image analysis and artificial intelligence methods

Modelling DOC export from watersheds in Scotland using neural networks

Predicting soil chemical composition and other soil parameters from field observations using a neural network

Measuring heterogeneity in soil networks: a network analysis and simulation-based approach

Neural network time series prediction of environmental variables in a small upland headwater in NE Scotland

Agricultural census data and land use modelling

Improving the effectiveness of angular dispersion in plant neighbourhood models

On using the precise sensor

Evaluating Neural Networks and Evidence Pooling for Land Cover Mapping

Mapping land cover from detailed aerial photography data using textural and neural network analysis

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