Technological Innovation for Agricultural Statistics: Special Supplement to Key Indicators for Asia and the Pacific 2018
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Technological Innovation for Agricultural Statistics - Asian Development Bank
TECHNOLOGICAL INNOVATION FOR AGRICULTURAL STATISTICS
Key Indicators for Asia and the Pacific 2018 Special Supplement
Creative Commons Attribution 3.0 IGO license (CC BY 3.0 IGO)
© 2018 Asian Development Bank
6 ADB Avenue, Mandaluyong City, 1550 Metro Manila, Philippines
Tel +63 2 632 4444; Fax +63 2 636 2444
www.adb.org
Some rights reserved. Published in 2018.
ISBN 978-92-9261-312-9 (print), 978-92-9261-313-6 (electronic)
Publication Stock No. FLS189528-3
DOI: http://dx.doi.org/10.22617/FLS189528-3
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Foreword
The Asia and Pacific region has experienced exceptional economic growth over the past two decades, accompanied by a dramatic reduction in extreme poverty. However, more moderate forms of poverty remain widespread, especially in rural areas and among households that rely on agriculture. Given the strong link between agricultural development and poverty alleviation, it is crucial that policies for the agriculture sector be evidence-based, timely, and reliable. However, most countries in the region continue to depend on traditional methods for collecting agricultural statistics that are susceptible to significant measurement errors due to the subjective nature of data collection. Remote sensing technology offers more objective methods to enhance availability and quality of agricultural statistics.
In 2010, the United Nations Statistical Commission initiated the Global Strategy to Improve Agricultural and Rural Statistics to enhance and ensure the sustainability of agricultural and rural statistics. The Asian Development Bank (ADB) joined the initiative as an implementing partner to develop technical assistance projects that pilot technological innovations to enhance the quality, quantity, and timeliness of agricultural statistics.
This report is a special supplement to the Key Indicators for Asia and the Pacific 2018. It presents a summary of the methodological research activities undertaken by ADB in collaboration with the national statistics offices and ministries of agriculture of three countries: the Lao People’s Democratic Republic, Thailand, and Viet Nam. Specifically, the report explores the usefulness of remote sensing for land area measurement, yield estimation, and the development of a sampling frame. It also sheds light on other innovations such as drones, computer-assisted personal interviewing, and artificial intelligence, all of which are expected to revolutionize field data collection methods, improve the quantity and quality of agricultural data, and bolster evidence-based policymaking for agricultural development.
This report was produced by ADB’s Development Economics and Indicators Division, under the overall guidance of Rana Hasan. The publication was prepared by Lakshman Nagraj Rao and Jude David Roque, with technical support from Anna Christine Durante, Pamela Lapitan, and Dave Pipon. Rea Jean Tabaco and Lea Rotairo provided excellent research assistance. Kaushal Joshi reviewed the manuscript and provided valuable feedback. Copy editing was performed by Paul Dent, while the publication’s cover design, layout, page design, and typesetting was carried out by Rhommell Rico. We are extremely grateful to the participating national statistics offices and ministries of agriculture for their active involvement in every stage of the project. Their contribution in terms of data collection, cleaning, and processing, alongside expert inputs, local knowledge, and practical advice was vital for the successful completion of the project.
We hope that this publication will be instrumental in promoting