Abstract
Increasing awareness of possible pollution, due to agricultural practices, has resulted in ‘precision agriculture’. Precision agriculture allows the farmer to use soil spatial variability to site-specifically adjust farm management strategies, e.g. spatial variable fertilization or irrigation applications. The aim of precision agriculture is to optimize crop yields and to make more efficient use of agrochemicals by reducing leaching. The CERES-Barley model from the decision support system DSSATv3 (Decision Support System for Agrotechnology Transfer) was used to simulate crop and soil responses on the experimental farm, the ‘Professor van Bemmelenhoeve’ in The Netherlands. DSSAT was subsequently used to simulate and analyse different farm management scenarios. Barley yields, economic benefits and possible leaching of fertilizers (as a result of the different management scenarios) were quantified. The use of this type of decision support system, for analysing agroecological systems, allows farmers, extension services and scientists to define agricultural practices for different crops which balance production and ecological interests in various climatological zones.
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Booltink, H.W.G., Verhagen, J. (1997). Using decision support systems to optimize barley management on spatial variable soil. In: Kropff, M.J., et al. Applications of Systems Approaches at the Field Level. Systems Approaches for Sustainable Agricultural Development, vol 6. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-0754-1_15
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DOI: https://doi.org/10.1007/978-94-017-0754-1_15
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