Making GIS a versatile analytical tool for research in precision farming

被引：11

作者：

Zhang, NQ ^{[1
]}

Runquist, E ^{[1
]}

Schrock, M ^{[1
]}

Havlin, J ^{[1
]}

Kluitenburg, G ^{[1
]}

Redulla, C ^{[1
]}

机构：

[1] Kansas State Univ, Dept Biol & Agr Engn, Manhattan, KS 66506 USA

来源：

COMPUTERS AND ELECTRONICS IN AGRICULTURE | 1999年 / 22卷 / 2-3期

关键词：

GIS; FIS; precision farming; site-specific crop management; remote sensing; yield mapping; system modeling; spatial variability;

D O I：

10.1016/S0168-1699(99)00020-4

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

A held-level geographic information system (FIS) is being developed. The system provides special analytical functions useful for research in precision farming. Spatial data from various sources with different accuracies and resolutions are integrated. Remotely sensed data are used to assist field-data analysis. Region blocking and partitioning are obtained using logic and arithmetic queries and overlays. Spatial patterns are analyzed in spatial and frequency domains in both Cartesian and polar coordinate systems. A discrete model was developed to simulate the time lag inherent to a yield sensor on a combine harvester. Z-transformation was used to numerically remove the lagging effect. (C) 1999 Elsevier Science B.V. All rights reserved.

引用

页码：221 / 231

页数：11

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