Instant Insights: Decision Support Systems in Agriculture

Dr Oliver Körner is a Senior Scientist and Head of the Department of Next-Generation Horticultural Systems (HORTSYS) at the world-renowned Leibniz Institute of Vegetable and Ornamental Crops (IGZ), Germany. He leads the HORTSYS 2 Research Group and is Acting Head of the PA HORTSYS Research Group. Dr Körner is internationally known for his expertise in the controlled environment cultivation of horticultural crops, particularly modelling plant-environment interactions in protected cultivation.

Chapter 1 - Developing decision support systems (DSS) for farm soil and crop management: Matt Aitkenhead, The James Hutton Institute, UK; 1 Introduction 2 Spatial data and sensor requirements for DSS 3 Models and software for DSS 4 DSS user interface design, actuators and systems 5 Decision support or decision-making? 6 What reasons are there for low uptake of DSS? 7 What will DSSs of the future look like? 8 Summary 9 Where to look for further information 10 References
Chapter 2 - Decision-support systems for pest monitoring and management: B. Sailaja, Ch. Padmavathi, D. Krishnaveni, G. Katti, D. Subrahmanyam, M. S. Prasad, S. Gayatri and S. R. Voleti, ICAR-Indian Institute of Rice Research, India; 1 Introduction 2 Pest identification 3 Pest monitoring 4 Pest forecasting 5 Integrated pest management (IPM) 6 Case studies 7 Summary and future trends 8 Where to look for further information 9 References
Chapter 3 - Models, sensors and decision support systems in greenhouse cultivation: Oliver Körner, Leibniz Institute of Vegetable and Ornamental Crops (IGZ), Germany; 1 Introduction 2 Greenhouses as controllable units for decision making 3 The decision-making process 4 Growers’ decision tools 5 Models for decision support 6 Case studies 7 Future trends and conclusion 8 Where to look for further information 9 References
Chapter 4 - Modelling and decision support systems in precision agriculture: Nicolas Tremblay, Agriculture and Agri-Food Canada, Canada; 1 Introduction 2 Key issues 3 Human and social aspects 4 Case studies with an emphasis on nitrogen management 5 Research options for decision support systems to improve productivity in a precision agriculture framework 6 Conclusion 7 Future trends 8 Where to look for further information 9 References
Chapter 5 - Developing climate-based decision support systems from agricultural systems models: Clyde W. Fraisse, University of Florida-Gainesville, USA; Norman E. Breuer, Catholic University Nuestra Señora de la Asunción, Paraguay; and Victor Cabrera, University of Wisconsin-Madison, USA; 1 Introduction 2 Importance of a participatory approach in DSS development 3 Examples of climate-based DSSs for crop and land management 4 Examples of climate-based DSSs for pest and disease management 5 Examples of climate-based DSSs for livestock (dairy) management 6 Lessons learned on the development of climate-based DSSs 7 Future trends and conclusion 8 Where to look for further information 9 References