Overview

This collection features five peer-reviewed literature reviews on decision support systems (DSS) in agriculture. The first chapter provides a review of DSS in agriculture, whilst addressing the key questions surrounding their use for farm soil and crop management. The different aspects of agricultural DSS design, implementation and operation are also discussed. The second chapter assesses the role of DSS for pest monitoring and management through information technology such as, remote sensing, GIS, spectral indices, image-based diagnostics, and phenology-based degree day models. The third chapter discusses the potential of implementing DSS within the growing mechanisation in greenhouses. It examines differences in development and application of deterministic explanatory and data-based models for real-time control and DSS. The fourth chapter explores the key issues associated with deploying DSS in precision agriculture, whilst also considering their human and social aspects. The chapter also considers how future research on DSS can be moulded to improve productivity in a precision agriculture setting. The final chapter outlines the importance of a participatory approach in DSS development, whilst also offering examples of climate-based DSS for crop and land management, pest and disease management, and livestock (dairy) management.

Full Product Details

Author:   Dr Matt Aitkenhead ,  Dr B. Sailaja ,  Dr Ch. Padmavathi ,  Dr D. Krishnaveni
Publisher:   Burleigh Dodds Science Publishing Limited
Imprint:   Burleigh Dodds Science Publishing Limited
Volume:   40
Dimensions:   Width: 15.20cm , Height: 0.80cm , Length: 22.90cm
Weight:   0.210kg
ISBN:  

9781801462112

ISBN 10:   1801462119
Pages:   148
Publication Date:   14 September 2021
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Chapter 1 - Developing decision support systems (DSS) for farm soil and crop management: Matt Aitkenhead, The James Hutton Institute, UK; 1 Introduction2 Spatial data and sensor requirements for DSS3 Models and software for DSS4 DSS user interface design, actuators and systems5 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 Summary9 Where to look for further information10 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 Introduction2 Pest identification3 Pest monitoring4 Pest forecasting5 Integrated pest management (IPM)6 Case studies7 Summary and future trends8 Where to look for further information9 References Chapter 3 - Models, sensors and decision support systems in greenhouse cultivation: Oliver Körner, Leibniz Institute of Vegetable and Ornamental Crops (IGZ), Germany; 1 Introduction2 Greenhouses as controllable units for decision making3 The decision-making process4 Growers’ decision tools5 Models for decision support6 Case studies7 Future trends and conclusion8 Where to look for further information9 References Chapter 4 - Modelling and decision support systems in precision agriculture: Nicolas Tremblay, Agriculture and Agri-Food Canada, Canada; 1 Introduction2 Key issues3 Human and social aspects4 Case studies with an emphasis on nitrogen management5 Research options for decision support systems to improve productivity in a precision agriculture framework6 Conclusion7 Future trends8 Where to look for further information9 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 Introduction2 Importance of a participatory approach in DSS development3 Examples of climate-based DSSs for crop and land management4 Examples of climate-based DSSs for pest and disease management5 Examples of climate-based DSSs for livestock (dairy) management6 Lessons learned on the development of climate-based DSSs7 Future trends and conclusion8 Where to look for further information9 References

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