2007
DOI: 10.1016/j.fcr.2006.12.013
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Opportunities and constraints for managing within-field spatial variability in Western Australian grain production

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Cited by 49 publications
(22 citation statements)
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“…Published Australian studies of economic analysis of VR fertiliser in broadacre grain production include experimental comparisons, case studies of farmers who have adopted the technology, and economic modelling based on both representative and actual farms and fields (Brennan et al 2007;Robertson et al 2007;Robertson et al 2008;Robertson et al 2009). The benefits range from close to zero to around AUD50/ha.…”
Section: Relative Advantagementioning
confidence: 99%
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“…Published Australian studies of economic analysis of VR fertiliser in broadacre grain production include experimental comparisons, case studies of farmers who have adopted the technology, and economic modelling based on both representative and actual farms and fields (Brennan et al 2007;Robertson et al 2007;Robertson et al 2008;Robertson et al 2009). The benefits range from close to zero to around AUD50/ha.…”
Section: Relative Advantagementioning
confidence: 99%
“…A number of authors have speculated on the possible reasons for low/variable adoption of PA technology (Cook and Bramley 2001;Griffin and Lowenberg-DeBoer 2005;Robertson et al 2007Robertson et al , 2009Bramley 2009). There is an extensive body of literature on the diffusion and adoption of innovations in agriculture initiated by Rogers (2003).…”
Section: Introductionmentioning
confidence: 98%
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“…A compromise to limit the number of yield maps that the agronomist would need to deal with to capture seasonal and spatial variations might be to represent grain yield over a range of season types of interest (for example, see Wong and Asseng 2006b). The use of crop modelling to integrate soil and weather data now helps in managing spatial variability for the specific season in question and anticipated size of crop (Oliver et al 2006;Robertson et al 2007;Stoorvogel and Bouma 2005;Wong et al 2001). Use of gamma-ray spectrometry is relatively new to precision agriculture.…”
Section: Discussionmentioning
confidence: 97%
“…Like any other technology, adoption of precision agriculture is affected by a number of factors such as profitability levels compared to current farm practice, adaptability, ease of use, testing capability, ability to identify risks, and social conditions that can improve farmers social competency and provide a chance for participating in the experience (Robertson et al, 2007). It can also be expressed that adopting precision agriculture is not so irrelevant to social issues.…”
Section: Sustainability and Rural Developmentmentioning
confidence: 99%