caa a22 4500 445864486 CHVBK 20180317145453.0 cr unu---uuuuu 170323e20110601xx s 000 0 eng 10.1007/s11119-010-9184-3 doi (NATIONALLICENCE)springer-10.1007/s11119-010-9184-3 Inverse meta-modelling to estimate soil available water capacity at high spatial resolution across a farm [Elektronische Daten] [M. Florin, A. McBratney, B. Whelan, B. Minasny] Geo-referenced information on crop production that is both spatially- and temporally-dense would be useful for management in precision agriculture (PA). Crop yield monitors provide spatially but not temporally dense information. Crop growth simulation modelling can provide temporal density, but traditionally fail on the spatial issue. The research described was motivated by the challenge of satisfying both the spatial and temporal data needs of PA. The methods presented depart from current crop modelling within PA by introducing meta-modelling in combination with inverse modelling to estimate site-specific soil properties. The soil properties are used to predict spatially- and temporally-dense crop yields. An inverse meta-model was derived from the agricultural production simulator (APSIM) using neural networks to estimate soil available water capacity (AWC) from available yield data. Maps of AWC with a resolution of 10m were produced across a dryland grain farm in Australia. For certain years and fields, the estimates were useful for yield prediction with APSIM and multiple regression, whereas for others the results were disappointing. The estimates contain ‘implicit information' about climate interactions with soil, crop and landscape that needs to be identified. Improvement of the meta-model with more AWC scenarios, more years of yield data, inclusion of additional variables and accounting for uncertainty are discussed. We concluded that it is worthwhile to pursue this approach as an efficient way of extracting soil physical information that exists within crop yield maps to create spatially- and temporally-dense datasets. The Author(s), 2010 Inverse modelling nationallicence Soil available water capacity nationallicence Meta-modelling nationallicence Precision agriculture nationallicence Crop growth simulation modelling nationallicence Florin M. Australian Centre for Precision Agriculture, University of Sydney, Lvl. 2 John Woolley Bldg. A20, Manning Rd., 2006, University of Sydney, NSW, Australia aut McBratney A. Australian Centre for Precision Agriculture, University of Sydney, Lvl. 2 John Woolley Bldg. A20, Manning Rd., 2006, University of Sydney, NSW, Australia aut Whelan B. Australian Centre for Precision Agriculture, University of Sydney, Lvl. 2 John Woolley Bldg. A20, Manning Rd., 2006, University of Sydney, NSW, Australia aut Minasny B. Australian Centre for Precision Agriculture, University of Sydney, Lvl. 2 John Woolley Bldg. A20, Manning Rd., 2006, University of Sydney, NSW, Australia aut Precision Agriculture Springer US; http://www.springer-ny.com 12/3(2011-06-01), 421-438 1385-2256 12:3<421 2011 12 11119 https://doi.org/10.1007/s11119-010-9184-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11119-010-9184-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Florin M. Australian Centre for Precision Agriculture, University of Sydney, Lvl. 2 John Woolley Bldg. A20, Manning Rd., 2006, University of Sydney, NSW, Australia aut NATIONALLICENCE 700 1- McBratney A. Australian Centre for Precision Agriculture, University of Sydney, Lvl. 2 John Woolley Bldg. A20, Manning Rd., 2006, University of Sydney, NSW, Australia aut NATIONALLICENCE 700 1- Whelan B. Australian Centre for Precision Agriculture, University of Sydney, Lvl. 2 John Woolley Bldg. A20, Manning Rd., 2006, University of Sydney, NSW, Australia aut NATIONALLICENCE 700 1- Minasny B. Australian Centre for Precision Agriculture, University of Sydney, Lvl. 2 John Woolley Bldg. A20, Manning Rd., 2006, University of Sydney, NSW, Australia aut NATIONALLICENCE 773 0- Precision Agriculture Springer US; http://www.springer-ny.com 12/3(2011-06-01), 421-438 1385-2256 12:3<421 2011 12 11119 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer