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Assessing the spatial distribution of crop production using a generalized cross-entropy approach

Published on Jan 1, 2004
Liangzhi You28
Estimated H-index: 28
,
Stanley Wood1
Estimated H-index: 1
Abstract
While agricultural production statistics are reported on a geopolitical – often national - basis we often need to know the status of production or productivity within specific sub-regions, watersheds, or agro-ecological zones. Such re-aggregations are typically made using expert judgments or simple area-weighting rules. We describe a new, entropy-based approach to making spatially disaggregated assessments of the distribution of crop production. Using this approach tabular crop production statistics are blended judiciously with an array of other secondary data to assess the production of specific crops within individual ‘pixels' – typically 25 to 100 square kilometers in size. The information utilized includes crop production statistics, farming system characteristics, satellite-derived land cover data, biophysical crop suitability assessments, and population density. An application is presented in which Brazilian state level production statistics are used to generate pixel level crop production data for eight crops. To validate the spatial allocation we aggregated the pixel estimates to obtain synthetic estimates of municipio level production in Brazil, and compared those estimates with actual municipio statistics. The approach produced extremely promising results. We then examined the robustness of these results compared to short-cut approaches to spatializing crop production statistics and showed that, while computationally intensive, the cross-entropy method does provide more reliable estimates of crop production patterns.
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Published on Sep 2, 2011
António Xavier3
Estimated H-index: 3
,
Maria de Belém Martins4
Estimated H-index: 4
(University of the Algarve),
Rui Fragoso6
Estimated H-index: 6
(University of Évora)
Antonio Xavier PhD student, Algarve University and CEFAGE (Center for Advanced Studies in Management and Economics) amxav@sapo.pt Maria de Belem Martins Assistant Professor, Algarve University and CEFAGE (Center for Advanced Studies in Management and Economics) mbmartins@ualg.pt Rui Fragoso Assistant Professor, Evora University and CEFAGE (Center for Advanced Studies in Management and Economics) rfragoso@uevora.pt
Published on Apr 1, 2007in The Journal of Agricultural Science1.33
D. P. Hodson1
Estimated H-index: 1
(CGIAR),
J. W. White1
Estimated H-index: 1
SUMMARY CIMMYT (International Maize and Wheat Improvement Centre) and other research groups within the Consultative Group for International Agricultural Research (CGIAR) have made major contributions to agricultural development, e.g. underpinning the ‘ green revolution ’, but it is unlikely they will continue making such far-reaching contributions without the ability to collect, analyse and assimilate large amounts of spatially orientated agronomic and climatic data. Increasingly, application of...
Published on Oct 1, 2006in Agricultural Systems4.13
Liangzhi You28
Estimated H-index: 28
(IFPRI: International Food Policy Research Institute),
Stanley Wood20
Estimated H-index: 20
(IFPRI: International Food Policy Research Institute)
Abstract While agricultural production statistics are reported on a geopolitical – often national – basis we often need to know the status of production or productivity within specific sub-regions, watersheds, or agroecological zones. Such re-aggregations are typically made using expert judgments or simple area-weighting rules. We describe a new, entropy-based approach to making spatially disaggregated assessments of the distribution of crop production. Using this approach, tabular crop producti...
Ravi P. Singh61
Estimated H-index: 61
(CIMMYT: International Maize and Wheat Improvement Center),
David Hodson16
Estimated H-index: 16
(CIMMYT: International Maize and Wheat Improvement Center)
+ 5 AuthorsRichard W. Ward18
Estimated H-index: 18
(CIMMYT: International Maize and Wheat Improvement Center)
Stem or black rust, caused by Puccinia graminis tritici, has historically caused severe losses to wheat (Triticum aestivum) production worldwide. Successful control of the disease for over three decades through the use of genetic resistance has resulted in a sharp decline in research activity in recent years. Detection and spread in East Africa of race TTKS, commonly known as Ug99, is of high significance as most wheat cultivars currently grown in its likely migration path, i.e. to North Africa ...
View next paperASSESSING THE SPATIAL DISTRIBUTION OF CROP PRODUCTION USING A CROSS-ENTROPY METHOD