Using ICT for remote sensing, crowdsourcing, and big data to unlock the potential of agricultural data
By 2050, the global population is projected to reach approximately 9 billion. Population growth will be concentrated in poorer countries, particularly the low-income countries of Sub-Saharan Africa. By some estimates, agricultural productivity will need to double to meet everyone’s needs for food (F...
| Main Authors: | , , , , , , , , , , |
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| Format: | Book Chapter |
| Language: | Inglés |
| Published: |
World Bank
2017
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/148583 |
| _version_ | 1855526955425726464 |
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| author | Woodard, Josh Andriessen, Mechteld Cohen, Courtney Cox, Cindy M. Fritz, Steffen Johnson, Drew Koo, Jawoo McLean, Morven See, Linda Speck, Tara Sturn, Tobias |
| author_browse | Andriessen, Mechteld Cohen, Courtney Cox, Cindy M. Fritz, Steffen Johnson, Drew Koo, Jawoo McLean, Morven See, Linda Speck, Tara Sturn, Tobias Woodard, Josh |
| author_facet | Woodard, Josh Andriessen, Mechteld Cohen, Courtney Cox, Cindy M. Fritz, Steffen Johnson, Drew Koo, Jawoo McLean, Morven See, Linda Speck, Tara Sturn, Tobias |
| author_sort | Woodard, Josh |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | By 2050, the global population is projected to reach approximately 9 billion. Population growth will be concentrated in poorer countries, particularly the low-income countries of Sub-Saharan Africa. By some estimates, agricultural productivity will need to double to meet everyone’s needs for food (Foley 2014). For instance, if current trends continue, yields of the world’s foremost food crops—maize, rice, wheat, and soybeans, which supply roughly two-thirds of calories consumed globally—appear likely to grow significantly more slowly than required to meet the projected global demand in 2050 (Ray et al. 2013). Some productivity growth will come from using more of the world’s arable land for agriculture, but most of the available arable land is unevenly distributed, and about half of it is found in only seven countries. |
| format | Book Chapter |
| id | CGSpace148583 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | World Bank |
| publisherStr | World Bank |
| record_format | dspace |
| spelling | CGSpace1485832024-10-25T07:58:16Z Using ICT for remote sensing, crowdsourcing, and big data to unlock the potential of agricultural data Woodard, Josh Andriessen, Mechteld Cohen, Courtney Cox, Cindy M. Fritz, Steffen Johnson, Drew Koo, Jawoo McLean, Morven See, Linda Speck, Tara Sturn, Tobias information technology agricultural growth telecommunications agriculture agricultural development information and communication technologies By 2050, the global population is projected to reach approximately 9 billion. Population growth will be concentrated in poorer countries, particularly the low-income countries of Sub-Saharan Africa. By some estimates, agricultural productivity will need to double to meet everyone’s needs for food (Foley 2014). For instance, if current trends continue, yields of the world’s foremost food crops—maize, rice, wheat, and soybeans, which supply roughly two-thirds of calories consumed globally—appear likely to grow significantly more slowly than required to meet the projected global demand in 2050 (Ray et al. 2013). Some productivity growth will come from using more of the world’s arable land for agriculture, but most of the available arable land is unevenly distributed, and about half of it is found in only seven countries. 2017 2024-06-21T09:25:07Z 2024-06-21T09:25:07Z Book Chapter https://hdl.handle.net/10568/148583 en Open Access World Bank Woodard, Josh; Andriessen, Mechteld; Cohen, Courtney; Cox, Cindy M.; Fritz, Steffen; Johnson, Drew; Koo, Jawoo; McLean, Morven; See, Linda; Speck, Tara; and Sturn, Tobias. 2017. Using ICT for remote sensing, crowdsourcing, and big data to unlock the potential of agricultural data. In ICT in Agriculture (Updated Edition) : Connecting Smallholders to Knowledge, Networks, and Institutions, World Bank. Section 4: Improving Public Service Provision, Module 15, pp. 401-431. Washington, DC: World Bank. https://hdl.handle.net/10986/27526 |
| spellingShingle | information technology agricultural growth telecommunications agriculture agricultural development information and communication technologies Woodard, Josh Andriessen, Mechteld Cohen, Courtney Cox, Cindy M. Fritz, Steffen Johnson, Drew Koo, Jawoo McLean, Morven See, Linda Speck, Tara Sturn, Tobias Using ICT for remote sensing, crowdsourcing, and big data to unlock the potential of agricultural data |
| title | Using ICT for remote sensing, crowdsourcing, and big data to unlock the potential of agricultural data |
| title_full | Using ICT for remote sensing, crowdsourcing, and big data to unlock the potential of agricultural data |
| title_fullStr | Using ICT for remote sensing, crowdsourcing, and big data to unlock the potential of agricultural data |
| title_full_unstemmed | Using ICT for remote sensing, crowdsourcing, and big data to unlock the potential of agricultural data |
| title_short | Using ICT for remote sensing, crowdsourcing, and big data to unlock the potential of agricultural data |
| title_sort | using ict for remote sensing crowdsourcing and big data to unlock the potential of agricultural data |
| topic | information technology agricultural growth telecommunications agriculture agricultural development information and communication technologies |
| url | https://hdl.handle.net/10568/148583 |
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