Improving data management and decision support systems in agriculture

by Leisa Armstrong (Editor), Leisa Armstrong (Contribution by), Ben Schaap (Contribution by), Suchith Anand (Contribution by), André Lapperrière (Contribution by)

Overview

• 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

Product Details

ISBN-13:	9781786763426
Publisher:	Burleigh Dodds Science Publishing
Publication date:	04/28/2020
Series:	Burleigh Dodds Series in Agricultural Science , #85
Sold by:	Barnes & Noble
Format:	eBook
Pages:	340
File size:	12 MB
Note:	This product may take a few minutes to download.

About the Author

Dr Leisa Armstrong is Senior Lecturer in Computer Science and leader of the eAgriculture Research Group at Edith Cowan University, Australia. Dr Armstrong is President of the Australian Society of ICT in Agriculture as well as past President of the Asian Federation of Information Technologies in Agriculture (AFITA). She has an international reputation for her research on the use of ICT in agriculture in such areas as agricultural information and decision support systems.

Table of Contents

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;