Geostatistical Applications for Precision Agriculture

N/A

ISBN 10: 9401783705 / ISBN 13: 9789401783705

Published by Springer, 2014

About this Item

This book covers the application of geostatistics in precision agriculture, reflecting the wide range of methods available and showing how they can be applied in practice. Covers minimal theory, focusing on case studies, and offers two chapters on sampling. Editor(s): Oliver, Margaret A. Num Pages: 331 pages, biography. BIC Classification: RB; RNU; TVB. Category: (G) General (US: Trade). Dimension: 235 x 155 x 18. Weight in Grams: 534. . 2014. 2010th Edition. Paperback. . . . .

Seller Inventory # V9789401783705

Bibliographic Details

• Title: Geostatistical Applications for Precision Agriculture
• Publisher: Springer
• Publication Date: 2014
• Language: English
• ISBN 10: 9401783705
• ISBN 13: 9789401783705
• Binding: Soft cover
• Condition: New

About this title

Synopsis

The aim of this book is to bring together a series of contributions from experts in the field to cover the major aspects of the application of geostatistics in precision agriculture. The focus will not be on theory, although there is a need for some theory to set the methods in their appropriate context. The subject areas identified and the authors selected have applied the methods in a precision agriculture framework. The papers will reflect the wide range of methods available and how they can be applied practically in the context of precision agriculture. This book is likely to have more impact as it becomes increasingly possible to obtain data cheaply and more farmers use onboard digital maps of soil and crops to manage their land. It might also stimulate more software development for geostatistics in PA.

From the Back Cover

This book brings together in one place two dynamic subjects, precision agriculture and geostatistics, that have spatial variation at their core. Geostatistics is applied in precision agriculture (PA) to sampling, prediction, mapping, decision-making, economics, designed experiments, variable-rate applications and so on. Contributions from experts in both fields illustrate how geostatistics can and has been used to advantage with PA data such as yield, soil, crop, pests, aerial photograph, remote and proximal imagery. Geostatistical techniques include variography, ordinary-, disjunctive-, factorial-, indicator-, regression-, simple-, space-time- and co-kriging, and geostatistical simulation. The link between geostatistics and PA will increase as more intensive information on the soil and crops becomes available from sensors and on-the-go technology. This is not a recipe book, but is intended to guide readers in the use of appropriate techniques for the types of data and needs of the farmer in managing the land.