Analysis of fuzzy applications in the agri-supply chain: A literature review
With the increasing global demand for fresh food, the importance of the mass agri-producing
countries has also increased. Agri-production has undergone a significant transformation …
countries has also increased. Agri-production has undergone a significant transformation …
Big geodata mining: Objective, connotations and research issues
The objective, connotations and research issues of big geodata mining were discussed to
address its significance to geographical research in this paper. Big geodata may be …
address its significance to geographical research in this paper. Big geodata may be …
An approach to computing topographic wetness index based on maximum downslope gradient
As an important topographic attribute widely-used in precision agriculture, topographic
wetness index (TWI) is designed to quantify the effect of local topography on hydrological …
wetness index (TWI) is designed to quantify the effect of local topography on hydrological …
An artificial neural network based model to predict spatial soil type distribution using piezocone penetration test data (CPTu)
Soil types map** and the spatial variation of soil classes are essential concerns in both
geotechnical and geoenvironmental engineering. Because conventional soil map** …
geotechnical and geoenvironmental engineering. Because conventional soil map** …
Map** soil organic matter concentration at different scales using a mixed geographically weighted regression method
The present regression models in digital soil map** usually assume that relationships
between soil properties and environmental variables are always fixed (as in MLR) or varying …
between soil properties and environmental variables are always fixed (as in MLR) or varying …
A self-training semi-supervised machine learning method for predictive map** of soil classes with limited sample data
Numerous machine learning models have been developed for constructing the relationship
between soil classes or properties and its environmental covariates in digital soil map** …
between soil classes or properties and its environmental covariates in digital soil map** …
Assessing habitat suitability based on geographic information system (GIS) and fuzzy: A case study of Schisandra sphenanthera Rehd. et Wils. in Qinling Mountains …
CY Lu, W Gu, AH Dai, HY Wei - Ecological Modelling, 2012 - Elsevier
Habitat requirements and spatial distribution of species are essential to biological
conservation and management as well as ecosystems conservation and restoration. For …
conservation and management as well as ecosystems conservation and restoration. For …
Thematic classification accuracy assessment with inherently uncertain boundaries: An argument for center-weighted accuracy assessment metrics
Accuracy assessment is one of the most important components of both applied and research-
oriented remote sensing projects. For mapped classes that have sharp and easily identified …
oriented remote sensing projects. For mapped classes that have sharp and easily identified …
Semi-automated disaggregation of conventional soil maps using knowledge driven data mining and classification trees
TW Nauman, JA Thompson - Geoderma, 2014 - Elsevier
Disaggregation of conventional soil surveys has been identified as a potential source for
much of the next generation of model-ready digital soil spatial data. This process aims to …
much of the next generation of model-ready digital soil spatial data. This process aims to …
Updating conventional soil maps through digital soil map**
Conventional soil maps, as the major data source for information on the spatial variation of
soil, are limited in terms of both the level of spatial detail and the accuracy of soil attributes …
soil, are limited in terms of both the level of spatial detail and the accuracy of soil attributes …