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Decision support systems (DSS) for better fertiliser management

Code: 9781786767301
Publication date: 27/04/2020
Extent: 26 pages

Contributions by: Dhahi Al-Shammari, Patrick Filippi, James P. Moloney, Niranjan S. Wimalathunge, Brett M. Whelan and Thomas F. A. Bishop, The University of Sydney, Australia

Chapter synopsis: This chapter reviews some of the approaches used by DSS to determine fertiliser application decisions. The chapter highlights direct methods and indirect techniques: simulation models, yield forecasts using data-driven approaches and yield forecasts based on water supply. The chapter includes two case studies to estimate season-specific nitrogen requirements of wheat crops at a within-field scale in Australia. These models forecast yield in two key periods of the season in which farmers make decisions for fertiliser applications – pre-sowing, and mid-season.

DOI: 10.19103/AS.2020.0069.13
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Table of contents 1 Introduction 2 Direct methods for determining crop nitrogen requirements for decision support 3 Indirect methods for determining crop nitrogen requirements for decision support: simulation models 4 Indirect methods for determining crop nitrogen requirements for decision support: yield forecasts using data-driven approaches 5 Indirect methods for determining crop nitrogen requirements for decision support: yield forecasts based on water supply 6 Decision support in action: case studies 7 Case study 1: nitrogen fertiliser applications using a data-driven approach 8 Case study 2: nitrogen fertiliser decision-making based on soil moisture predictions 9 Comparing the two approaches 10 Conclusions and future trends 11 References

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