Extracting Knowledge from Big Data for Sustainability: A Comparison of Machine Learning Techniques

Big Data and Their Social Impact: Preliminary Study

(2019) Miltiades D. Lytras et al.   Sustainability

A comparison of support vector machines, artificial neural network and classification tree for identifying soil texture classes in southwest China

(2018) Wei Wu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Digital mapping of soil organic carbon at multiple depths using different data mining techniques in Baneh region, Iran

(2016) R. Taghizadeh-Mehrjardi et al.   GEODERMA

Classification system for rain fed wheat grain cultivars using artificial neural network

(2016) Pazoki Alireza et al.   AFRICAN JOURNAL OF BIOTECHNOLOGY

A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape

(2015) Kennedy Were et al.   ECOLOGICAL INDICATORS

Machine learning for predicting soil classes in three semi-arid landscapes

(2015) Colby W. Brungard et al.   GEODERMA

Big Data for Health

(2015) Javier Andreu-Perez et al.   IEEE Journal of Biomedical and Health Informatics

Digital mapping of soil properties in Canadian managed forests at 250m of resolution using the k-nearest neighbor method

(2014) Nicolas Mansuy et al.   GEODERMA

Using classification algorithms for predicting durum wheat yield in the province of Buenos Aires

(2013) José R. Romero et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Uncertainty in the spatial prediction of soil texture

(2011) Mareike Ließ et al.   GEODERMA

A machine vision system for classification of wheat and barley grain kernels

(2011) F. Guevara-Hernandez et al.   SPANISH JOURNAL OF AGRICULTURAL RESEARCH

Soil type classification and estimation of soil properties using support vector machines

(2009) Miloš Kovačević et al.   GEODERMA

A working guide to boosted regression trees

(2008) J. Elith et al.   JOURNAL OF ANIMAL ECOLOGY