000 03413nam a22005175i 4500
001 978-90-481-9133-8
003 DE-He213
005 20140220084602.0
007 cr nn 008mamaa
008 100726s2010 ne | s |||| 0|eng d
020 _a9789048191338
_9978-90-481-9133-8
024 7 _a10.1007/978-90-481-9133-8
_2doi
050 4 _aS1-S972
072 7 _aTVB
_2bicssc
072 7 _aTEC003000
_2bisacsh
082 0 4 _a630
_223
100 1 _aOliver, M.A.
_eeditor.
245 1 0 _aGeostatistical Applications for Precision Agriculture
_h[electronic resource] /
_cedited by M.A. Oliver.
264 1 _aDordrecht :
_bSpringer Netherlands :
_bImprint: Springer,
_c2010.
300 _aV, 295p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aAn Overview of Geostatistics and Precision Agriculture -- Sampling in Precision Agriculture -- Sampling in Precision Agriculture, Optimal Designs from Uncertain Models -- The Spatial Analysis of Yield Data -- Space–Time Geostatistics for Precision Agriculture: A Case Study of NDVI Mapping for a Dutch Potato Field -- Delineating Site-Specific Management Units with Proximal Sensors -- Using Ancillary Data to Improve Prediction of Soil and Crop Attributes in Precision Agriculture -- Spatial Variation and Site-Specific Management Zones -- Weeds, Worms and Geostatistics -- The Analysis of Spatial Experiments -- Application of Geostatistical Simulation in Precision Agriculture -- Geostatistics and Precision Agriculture: A Way Forward.
520 _aThis 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.
650 0 _aLife sciences.
650 0 _aGeography.
650 0 _aAgriculture.
650 0 _aEnvironmental sciences.
650 0 _aSustainable development.
650 0 _aFarm economics.
650 1 4 _aLife Sciences.
650 2 4 _aAgriculture.
650 2 4 _aMath. Appl. in Environmental Science.
650 2 4 _aEarth Sciences, general.
650 2 4 _aEarth Sciences, general.
650 2 4 _aAgricultural Economics.
650 2 4 _aSustainable Development.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9789048191321
856 4 0 _uhttp://dx.doi.org/10.1007/978-90-481-9133-8
912 _aZDB-2-SBL
999 _c113596
_d113596