Technological Innovation for Agricultural Statistics: Special Supplement to Key Indicators for Asia and the Pacific 2018

This report showcases the role that technology can play in improving the quality, timeliness, and frequency of agricultural statistics in Asia and the Pacific.

Publisher: Asian Development Bank

Abstract

This report showcases the role that technology can play in improving the quality, timeliness, and frequency of agricultural statistics in Asia and the Pacific.

The first part presents a summary of existing methods for collecting land area, production, and yield data in the region. The second part discusses measurement errors associated with the existing data collection methods. The third part presents ways to address these measurement errors using remote sensing technology by showcasing results from three methodological research activities undertaken by the Asian Development Bank in three countries: the Lao People’s Democratic Republic, Thailand, and Viet Nam.

This report concludes with a summary of how other innovations, such as drones, computer-assisted personal interviewing, and artificial intelligence hold promise in transforming the field of agricultural statistics.

Highlights

  • The importance of agricultural development in achieving poverty reduction is undisputed. Yet, limited efforts have been made to improve the accuracy and timeliness of agricultural statistics.
  • Recognizing this challenge, the Asian Development Bank (ADB) joined the Global Strategy to Improve Agricultural and Rural Statistics (GSARS) as an implementing partner. Specifically, ADB piloted the use of remote sensing technology as an alternative to existing methods for generating key paddy rice statistics in three countries: the Lao People’s Democratic Republic, Thailand, and Viet Nam.
  • As a first step, a systematic comparison of existing objective and subjective methods to estimate plot area, rice production, and yield was conducted. Significant differences were observed between the estimates derived from objective and subjective data collection methods.
  • Given that the subjective methods are expensive and time consuming, three methodological studies were conducted to explore the viability of using satellite data as an alternative to traditional methods.
  • In the first study, plot boundaries were traced on high-resolution Google Earth images to estimate area, which was compared with GPS derived plot area estimates. The second study employed a novel data fusion technique in Thai Binh province, Viet Nam, to generate a spatially disaggregated rice yield map. The utility of land-use maps developed from satellite data while constructing a sampling frame was explored in the third study.
  • The results of the three methodological studies provide strong evidence in favor of satellite data as a viable alternative to existing methods to generate paddy rice statistics.
  • Other technological innovations such as drones, computer-assisted personal interviewing (CAPI), and artificial intelligence hold much promise for the future of agricultural statistics.

Illustration Photo: Spraying drone over a sugarcane field (Public Domain from Pixabay.com)

Comments

No comments to display.

Related posts

Call for Applications: Go Green in the City 2019

The Go Green in the City challenge is now entering its 9th year running and our 2019 edition is going to be even bigger, better and bolder! We are looking for students like you from around the world who are willing to put their skills and ideas to the test.
Application Deadline in 4 months

Renewable Energy the Most Competitive Source of New Power Generation in GCC

Under current plans, the region will install 7 gigawatts (GW) of new power generation capacity from renewable sources by the early 2020s

A Glimpse of What Lies Ahead for the Silicon Photonics Market

The global silicon photonics market is expected to account for sales of over $737 million by 2023 growing at a CAGR of 35% during 2018-2023. The silicon photonics finds its major application area to be in the telecommunications with over 69% market share in terms of revenue in 2017.

A Diagnostic Device for In-Situ Detection of Swine Viral Diseases: The SWINOSTICS Project

In this paper, we present the concept of a novel diagnostic device for on-site analyses, based on the use of advanced bio-sensing and photonics technologies to tackle emerging and endemic viruses causing swine epidemics and significant economic damage in farms.

Online security assessment framework helps businesses cope with increased use of personal devices

Employees increasingly access sensitive company data remotely, often from personal devices where social media networks hold a prominent place. Easy targets for cyber criminals? Members of the DOGONA consortium believe so, and they have devised a risk assessment framework to help businesses alleviate this threat.

Proagrica Highlights Top Data Trends for Agribusiness in 2019

For businesses in the supply chain, data solutions can form the backbone of sustainable growth, ensuring robust internal operations that are future-proofed and primed for data integration and insight which presents a potential landscape of dynamic new services and ways of working adding value to both businesses and their customers.

Intel and Alibaba announced the development of athlete tracking technology powered by artificial intelligence

Intel and Alibaba announced on the eve of CES that the companies are teaming to develop athlete tracking technology powered by artificial intelligence (AI) that is aimed to be deployed at the Olympic Games 2020 and beyond. The technology uses existing and upcoming Intel hardware and Alibaba cloud computing technology to power a cutting-edge deep learning application that extracts 3D forms of athletes in training or competition.

Vietnam announced a list of 13 key agricultural products

The Ministry of Agriculture and Rural Development (MARD) has announced a list of 13 key agricultural products of Vietnam.The list includes rice, coffee, rubber, cashew nuts, pepper, tea, vegetables and fruit, cassava and cassava products, pork, meat and eggs, tra fish, shrimp, wood and wood products.

Call for Nominations: World Food Prize Foundation - Food Security and Agricultural Champions

The World Food Prize Foundation is currently accepting nominations for its globally renowned award that recognizes the accomplishments of individuals who have advanced human development by improving the quality, quantity or availability of food in the world. The World Food Prize is the foremost international award recognizing the accomplishments of individuals who have advanced human development by improving the quality, quantity, or availability of food in the world.
Application Deadline in 3 months

7 Blockchain ETFs to invest in

ETFs have been around for a long time and have been used to track benchmark indexes such as the NASDAQ-100, the Standard & Poor’s (S&P) 500, and the US Dow Jones Industrial Average (DJIA). Stock market investors also use these indexes to monitor their portfolio strength as well as compare it with the overall market.