The use of ancillary data in field investigations for site-specific agriculture

被引：0
|
作者：
Lark, RM [1 ]
机构：
[1] Silsoe Res Lab, Math & Decis Syst Grp, Silsoe MK45 4HS, Beds, England
来源：
ACCURACY 2000, PROCEEDINGS | 2000年
关键词：
soil science; kriging; regression; remote sensing; spatial variability;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Three case studies are presented which show how ancillary variables - in this case yield data and remote sensor imagery - can be used to identify the scale and magnitude of within-field variability of key factors for crop management, to define a fuzzy set describing the sampling density required to map a soil property to required precision, and for predicting soil properties on the basis of a limited calibration data set. In this way ancillary data can ensure that maximum value is obtained from costly soil sampling and analysis.
引用
收藏
页码：397 / 404
页数：8
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