...
首页> 外文期刊>Fish Farming International >'Fuzzy logic' knows best! New thinking applied to site selection
【24h】

'Fuzzy logic' knows best! New thinking applied to site selection

机译:“模糊逻辑”最清楚!新思维应用于选址

获取原文
获取原文并翻译 | 示例
           

摘要

Determining land suitability for aquaculture often means juggling an intricate requirement set, but as Dave Field reports, a project team in northern Australia may have come up with a new way using 'fuzzy logic'. Computer-based geographic information systems (GISs) have a 'hard number' structure which creates problems in their application as a tool for farmers in determining land suitability. Why? Simply because site selection parameters often can't be turned into 'hard numbers'. In Australia, theNorthern Territory's Darwin Aquaculture Centre (DAC) and the Darwin branch of Airesearch Mapping are confronting the problem. DAC and Airesearch have developed a project to improve upon a Commonwealth Scientific and Industrial Research Organisation (CSIRO) prawn aquaculture GIS. The CSIRO system was scaled at 1:250,000, including only a small number of parameters such as ground slope and distance to inland waters and coastline. However, the new project uses more detailed maps (at 1:50,000 scale), an extensive and variable parameter set and a more precise Digital Elevation Model (DEM) at 91.5 metres - the smallest area of land individually resolvable. The Tiwi group of islands, approximately 60km from Darwin, was selected for project trials - Aboriginalcommunities in the area could benefit from aquaculture development.
机译:确定水产养殖的土地适宜性通常意味着要应对一套复杂的要求,但正如Dave Field报道的那样,澳大利亚北部的一个项目团队可能已经提出了一种使用“模糊逻辑”的新方法。基于计算机的地理信息系统(GIS)具有“硬数字”结构,这在其作为农民确定土地适宜性的工具的应用中产生了问题。为什么?仅仅因为站点选择参数通常不能变成“硬数字”。在澳大利亚,北领地的达尔文水产养殖中心(DAC)和Airesearch Mapping的达尔文分公司正面临这一问题。 DAC和Airesearch开发了一个项目,以改进英联邦科学和工业研究组织(CSIRO)虾类水产养殖GIS。 CSIRO系统的缩放比例为1:250,000,仅包括少量参数,例如地面坡度以及与内陆水域和海岸线的距离。但是,新项目使用更详细的地图(比例为1:50,000),范围广泛且可变的参数集以及更精确的91.5米数字高程模型(DEM),这是可单独解决的最小土地面积。距离达尔文约60公里的蒂维岛群岛被选中进行项目试验-该地区的土著社区可以从水产养殖发展中受益。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号