A model of decision-making and information flows for information-intensive agriculture

By Spyros Fountas, D. Wulfsohn, B. Blackmore, H. Jacobsen, S. M. Pedersen. 2006

227 citations recorded by the source corpus.

How researchers see this paper

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

Farm management information systems: Current situation and future perspectives (2015, methodology): “Decision making is an important aspect in farm management and has 8 been studied by numerous authors (e.g. Sørensen, 1999; Fountas et al., 2006; Magne 9 et al., 2010).”
Lessons from nearly 20 years of Precision Agriculture research, development, and adoption as a guide to its appropriate application (2009, unknown): “Since the idea of PA as ‘information-intensive’ agriculture (Fountas et al. 2005, 2006) is a core underpinning principle, the use of controlledtraffic and GPS guidance systems is not canvassed in any detail in this review as their application neither generates nor requires detailed information…”
IT as enabler of sustainable farming: An empirical analysis of farmers' adoption decision of precision agriculture technology (2012, background): “However, one of the core challenges in the PA context is for farmers to identify the useful, important and relevant information among the ones gathered [27].”
Conceptual model of a future farm management information system (2010, unknown): “Advances in precision agriculture, such as positioning systems and sensors for yield and machinery performance monitoring allows farmers to acquire vast amount of site-specific data which ultimately can be used to enhance decision making (Blackmore, 2000; Fountas et al., 2006).”