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The region's inherent scarcity of land, potential for drought, and exposure to cyclones are constant realities confronting its inhabitants.
For instance, Reshmidevi et al. (2009) used a fuzzy inference system developed in a GIS environment to assess land suitability for a specified crop, considering both land potential and surface water potential.
Nigeria is one of the most important producers of the crop with a land potential of over 500,000 hectares of suitable cane field capable of producing more than 3.0 million metric tonnes of sugarcane (NSDC 2003).
These conditions are met by Brazil, which alone has 27% of new arable land potential in the world [3], placing it in a unique position that is, by the other side, highly challenging and of high responsibility.
According to the results, the HG scenario yielded the highest amount of urban growth without substantially modifying the historical growth trajectory while no negative impact on land potential for targeted land-uses were detected.
In the present study, a fuzzy rule-based inference system is developed in Geographic Information System (GIS) environment to assess the land suitability pertaining to the specified crop, considering both land potential and surface water potential.
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Assessment of land potentials can provide detailed spatial information particularly concerning nutrient availability.
Also, parts of the north-eastern mountain regions and the area between the Black Forest and the Upper Rhine Valley possess considerable land potentials.
Specific research aims were (1) to identify important predictors; (2) to develop digital soil maps; (3) to assess land potentials using digital soil maps.
Information on wind resources, land availability, potential land costs, potential NIMBYism concerns and economic development potential were integrated to develop a framework for decision support.
They include interventions in local planning, and offering public land for potential future drilling.
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