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204:, and other soil characteristics. The crop database is particularly useful if there is no alternative but to use environmental ranges. Once these inputs are determined, the system produces a suitability index as a percentage. The suitability index score is generated from 0 to 1 with the former indicating totally unsuitable while the latter indicates optimal or excellent suitability. The output also include separated suitability values for temperature and precipitation.
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Ecocrop first emerged in 1991 after planning and initial expert consultancies were completed concerning the development of a database. This system was developed by the Land and Water
Development Division of FAO (AGLL) and was launched in 1992. The goal was to create a tool that can identify plant
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As a prediction model, the
Ecocrop algorithm yields data that are more generic than those produced by other models such as DOMAIN and BIOCLIM. The information is generic with respect to the nature of the requirements and is attributed to the lack of information concerning specific crops. Another
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concept. In 1994, the
Ecocrop database already permitted the identification of more than 1,700 crops and 12-20 environment requirements covering all of the agro-ecological settings of the world. Succeeding iterations of the database from 1998 to 1999 mainly involved improvements to the
235:. It can also be used to project crop yields using the database's information on optimal and absolute crop growing conditions (minimum temperature, maximum temperature, precipitation values, values that define temperature and precipitation extremes).
408:"Crop Ecological Requirements Database (ECOCROP) | Land & Water | Food and Agriculture Organization of the United Nations | Land & Water | Food and Agriculture Organization of the United Nations"
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Ecocrop evaluates whether climatic conditions are adequate within a growing season for temperature and precipitation every month. It involves the calculation of climatic suitability based on
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The
Ecocrop model determines a crop's suitability to a location by evaluating different variables. Specifically, the plant descriptors include category, life form, growth habit, and
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160:. By 2000, the database included 2,000 species and 10 additional descriptors. This number was later expanded with the addition of 300 crop species.
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Aside from serving as a plant identifier, Ecocrop is also used for other purposes. For instance, it can assess the influence of future
134:(FAO) it provided information predicting crop viability in different locations and climatic conditions. It also served as a catalog of
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limitation is that the results depend solely on bioclimatic factors and discounts other variables such as soil requirements,
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The
Climate-Smart Agriculture Papers: Investigating the Business of a Productive, Resilient and Low Emission Future
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Yadav, Shyam Singh; Redden, Robert J.; Hatfield, Jerry L.; Lotze-Campen, Hermann; Hall, Anthony J. W. (2011).
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Assessing Carbon Stocks and
Modelling Win-win Scenarios of Carbon Sequestration Through Land-use Changes
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Robyn, Johnston; Hoanh, Chu Tai; Lacombe, Guillaume; Lefroy, Rod; Pavelic, Paul; Fry, Carolyn (2012).
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Improving water use in rainfed agriculture in the
Greater Mekong Subregion.: Summary report.
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Crop viability database developed by the UN Food and
Agriculture Organization
283:. Stockholm: International Water Management Institute (IWMI). p. 14.
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Ponce-Hernandez, Raul; Koohafkan, Parviz; Antoine, Jacques (2004).
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Monitoring and
Predicting Agricultural Drought: A Global Study
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The
Economic, Social and Political Elements of Climate Change
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438:. Dordrecht: Springer Science+Business Media. p. 708.
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Rosenstock, Todd S.; Nowak, Andreea; Girvetz, Evan (2018).
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Climate Change and Food Security: Africa and the Caribbean
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Millington, James D. A.; Wainwright, John (2018-09-27).
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Food and Agriculture Organization of the United Nations
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312:. New York: Oxford University Press, USA. pp.
147:species for given environments and uses, and as an
523:. Chichester, UK: John Wiley & Sons. pp.
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386:. Cham, Switzerland: Springer Open. p. 41.
130:for a specified environment. Developed by the
223:and temperature marginal and optimal ranges.
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304:Organization, World Meteorological (2005).
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462:Hope, Elizabeth Thomas (2017).
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190:Köppen climate classification
621:Food and Drug Administration
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552:. Basel: MDPI. p. 69.
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491:. Rome: FAO. p. 61.
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611:Online botany databases
606:Biodiversity databases
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151:contributing to a
149:information system
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412:www.fao.org
182:temperature
77:all regions
64:Disciplines
53:Open access
595:Categories
417:2019-07-02
363:2019-06-21
262:2019-06-21
239:References
227:Other uses
85:of records
349:"Credits"
178:life span
36:Languages
221:rainfall
214:diseases
202:altitude
198:latitude
124:database
59:Coverage
25:Producer
142:History
120:Ecocrop
98:Website
39:English
31:(Italy)
20:Ecocrop
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212:, and
136:plants
122:was a
109:/pages
44:Access
210:pests
93:Links
88:2,300
554:ISBN
529:ISBN
493:ISBN
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440:ISBN
388:ISBN
318:ISBN
285:ISBN
128:crop
107:.org
105:.fao
103:gaez
49:Cost
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