全球智库信息集成服务系统(G2TT): Using ICT for Remote Sensing, Crowdsourcing, and Big Data to Unlock the Potential of Agricultural Data.

G2TT

来源类型	Book Section
DOI	10.1596/978-1-4648-1002-2_Module15
	Using ICT for Remote Sensing, Crowdsourcing, and Big Data to Unlock the Potential of Agricultural Data.
	Woodard J; Andriessen M; Cohen C; Cox C; Fritz S; Johnson D; Koo J; McLean M
发表日期	2017
出处	ICT in Agriculture (Updated Edition): Connecting Smallholders to Knowledge, Networks, and Institutions. pp. 401-431 USA: The World Bank Publications. ISBN 978-1-4648-1002-2 DOI: 10.1596/978-1-4648-1002-2_Module15 .
出版年	2017
语种	英语
摘要	Estimates that by 2050, the global population could reach 9 billion, with the growth concentrated in poorer countries, particularly the low-income countries of Sub-Saharan Africa. Agricultural productivity will need to double to meet everyone’s needs for food, so producers must increase yields and cropping intensity, improve livestock productivity, and quite possibly diversify their economic activities on and off of the farm, all of which can benefit from revolutionary changes in information and communication technology (ICT), including (1) using multispectral satellite images and energy surface balance models to calculate crop and water productivity; (2) crowdsourcing supplier data via mobile phone; (3) combining gaming and crowdsourcing to identify and monitor cropland; (4) generating open access, spatially explicit data sets, and analyses for more productive farming and better livelihoods in Africa; (5) using the International Life Sciences Institute (ILSI) Crop Composition Database; and (6) using big data to provide localized weather and agronomic information to producers.
主题	Ecosystems Services and Management (ESM)
URL	http://pure.iiasa.ac.at/id/eprint/14757/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/134567
推荐引用方式 GB/T 7714	Woodard J,Andriessen M,Cohen C,et al. Using ICT for Remote Sensing, Crowdsourcing, and Big Data to Unlock the Potential of Agricultural Data.. 2017.