• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Beltwide Cotton Conferences >Identification of management zones based on cotton yield and soil parameters
【24h】

Identification of management zones based on cotton yield and soil parameters

机译：基于棉花产量和土壤参数的管理区识别

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Management zones are the blue-prints for site-specific management practices. However, since crop yields are comprehensively affected by many factors, development of these management zones can be difficult. Furthermore, factors affecting yield can change spatially and may interact with each other, which intensifies the difficulty in developing reasonable management zones. Previous research has shown that delineating management zones is crucial to precision farming. Although several methods have beentested for defining management zones, currently there is no single method in use to meet the practical need for site-specific management. The objective of this paper is to delineate potential management zones from cotton yield and soil parameters by using cluster analysis, discriminant analysis, and other multivariate analysis techniques. Four and three management zones were identified based on the yield groups and MSLCs of soil parameters influencing cotton yields with cluster grouping method and quartile grouping method, respectively. The results also show that the cluster grouping method is better than the quartile methods for delineating yield groups and potential management zones. The application of multivariate analysis can simplify multiple variables and help reveal the relationships between crop yields and soil parameters.
机译：管理区域是特定于现场管理实践的蓝色印刷品。然而，由于作物产量受到许多因素的全面影响，因此这些管理区的发展可能很困难。此外，影响产量的因素可以在空间上变化，并且可以彼此相互作用，这加剧了开发合理的管理区的困难。以前的研究表明，划定管理区对精密养殖至关重要。虽然已经为定义了管理区域已经有几种方法，但目前没有单一的方法用于满足现场特定管理的实用需求。本文的目的是通过使用聚类分析，判别分析和其他多变量分析技术来描绘潜在的管理区与棉花产量和土壤参数。基于影响棉花产量的土壤参数的产量基团和MSLC，分别鉴定了4个和三种管理区。结果还表明，聚类分组方法优于划定产量组和潜在管理区的四分位数方法。多变量分析的应用可以简化多个变量，并有助于揭示作物产量和土壤参数之间的关系。

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