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Improving data management and decision support systems in agriculture
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28 April 2020

- Reviews key steps in improving data management, from improving data access and establishing standards for reliable data to effective tagging for discoverability as well as data security
- Covers a wide range of practical applications of decision support systems (DSS) in crop production, such as crop planting, nutrition and use of rotations
- Includes the use of DSS in key areas of livestock production such as feed optimization and pasture management
TECHNOLOGY & ENGINEERING / Agriculture / Agronomy / Crop Science, Agronomy and crop production, TECHNOLOGY & ENGINEERING / Agriculture / Animal Husbandry, TECHNOLOGY & ENGINEERING / Agriculture / Forestry, TECHNOLOGY & ENGINEERING / Agriculture / Sustainable Agriculture, Forests and woodland, Sustainable agriculture, Animal husbandry
Part 1 General issues
1.Improving data access for more effective decision making in agriculture: Ben Schaap, Wageningen University and Research, The Netherlands and Global Open Data for Agriculture and Nutrition (GODAN), UK; and Suchith Anand and André Laperrière, Global Open Data for Agriculture and Nutrition (GODAN), UK;
2.Improving data standards and integration for more effective decision-making in agriculture: Sjaak Wolfert, Wageningen University and Research, The Netherlands;
3.Improving data identification and tagging for more effective decision making in agriculture: Pascal Neveu and Romain David, MISTEA, INRAE, Montpellier SupAgro, University of Montpellier, France; and Clement Jonquet, LIRMM, CNRS and University of Montpellier, France;
4.Advances in data security for more effective decision-making in agriculture: Jason West, University of New England, Australia;
5.Advances in artificial intelligence (AI) for more effective decision making in agriculture: L. J. Armstrong, Edith Cowan University, Australia; N. Gandhi, University of Mumbai, India; P. Taechatanasat, Edith Cowan University, Australia; and D. A. Diepeveen, Department of Primary Industries and Regional Development, Australia;
6.Improving data management and decision-making in precision agriculture: Soumyashree Kar, Rohit Nandan, Rahul Raj, Saurabh Suradhaniwar and J. Adinarayana, Indian Institute of Technology Bombay (IIT Bombay), India;
Part 2 Case studies
7.Decision support systems (DSS) for better fertiliser management: Dhahi Al-Shammari, Patrick Filippi, James P. Moloney, Niranjan S. Wimalathunge, Brett M. Whelan and Thomas F. A. Bishop, The University of Sydney, Australia;
8.Developing decision-support systems for crop rotations: Zia Mehrabi, University of British Columbia, Canada;
9.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;
10.Developing decision support systems for improving data management in agricultural supply chains: Gerhard Schiefer, University of Bonn, Germany;
11.Developing decision support systems for optimizing livestock diets in farms: Marina Segura, Concepción Maroto, Baldomero Segura and Concepción Ginestar, Universitat Politècnica de València, Spain;
12.Developing decision-support systems for pasture and rangeland management: Callum Eastwood and Brian Dela Rue, DairyNZ, New Zealand;