Re-inventing model-based decision support with Australian dryland farmers. 1. Changing intervention concepts during 17 years of action research

By R. Mccown, Peter S. Carberry, Zvi Hochman, Neal P. Dalgliesh, M. Foale. 2009

101 citations recorded by the source corpus.

Subfields: Environmental Chemistry, Forestry, General Agricultural and Biological Sciences

View Paper: https://www.semanticscholar.org/paper/f662afcdbf9c4f26604ac72aca1cc5606c4330d4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Chemistry

1. James R. Hunt
2. Zvi Hochman
3. Peter S. Carberry
4. Neal P. Dalgliesh
5. M. Foale

In Forestry

1. James R. Hunt
2. J. Kirkegaard
3. B. Flohr

In General Agricultural and Biological Sciences

1. Peter S. Carberry
2. Zvi Hochman
3. Neal P. Dalgliesh
4. M. Foale
5. Vittorio Rossi
6. T. Caffi
7. J. Kirkegaard
8. James R. Hunt

Citations in the corpus

• Water and temperature stress define the optimal flowering period for wheat in south-eastern Australia (2017, methodology): “1, Table 1), and based on the availability of accurate soil 154 characterization from the APSoil database (Dalgliesh et al., 2009) and patched-point 155 meteorological weather stations from the SILO database (Jeffrey et al.”
• Re-inventing model-based decision support with Australian dryland farmers. 3. Relevance of APSIM to commercial crops. (2009, methodology): “Other papers in the series address issues such as the soil information required for paddock-specific simulation (Dalgliesh et al. 2009), using the internet to deliver simulations (Hochman et al. 2009b) and an interpretation of the FARMSCAPE experience using social theory (McCown et al. 2009).”
• Helping farmers face the increasing complexity of decision-making for crop protection (2012, background): “…by 2010 {COM(2008 As noted earlier, another reason for the failure of many farmers to use DSSs is the poor demonstra - tion of economic benefits (McCown et al. , 2009) or the recognition by farmers that they could gain more immediate economic benefits by reducing costs (by simplifying farm…”
• Re-inventing model-based decision support with Australian dryland farmers. 4. Yield Prophet® helps farmers monitor and manage crops in a variable climate. (2009, unknown): “The preceding papers in the current series (Carberry et al. 2009; Dalgliesh et al. 2009; McCown et al. 2009; all this issue) primarily explored important aspects of the first aim.”