000			01736nam a2200217zi 4500
999			_c30460 _d58458
005			20200916102311.0
020			_a978-90-481-9133-8
037			_aBC_715 36 $ BC_718 90/A-B _fbroch
040			_aBC-ENSA _bfre
041			_aang
080			_a631
100			_aOLIVER, M.A. _eed.scientifique _957316
245			_aGeostatistical applications for precision agriculture
260			_aDordrecht ; New York _bSpringer _c2010
300			_a331 p. _bill. en coul., couv. ill. en coul. _c24 cm.
562			_e03 exemplaire
942			_c09
500			_aLa cote BC_718 90/B versés en Génie rural
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
653			_aAGRICULTURE DE PRECISION/GEOLOGIE/METHODE STATISTIQUE