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tesis/zotero/Mi biblioteca/files/2331/978-94-017-3624-4_8.html
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<script type=application/ld+json>{"headline":"Decision support system for agrotechnology transfer: DSSAT v3","pageEnd":"177","pageStart":"157","image":"https://media.springernature.com/w153/springer-static/cover/book/978-94-017-3624-4.jpg","genre":["Biomedical and Life Sciences","Biomedical and Life Sciences (R0)"],"isPartOf":{"name":"Understanding Options for Agricultural Production","isbn":["978-94-017-3624-4","978-90-481-4940-7"],"@type":"Book"},"publisher":{"name":"Springer Netherlands","logo":{"url":"https://www.springernature.com/app-sn/public/images/logo-springernature.png","@type":"ImageObject"},"@type":"Organization"},"author":[{"name":"J. W. Jones","affiliation":[{"name":"University of Florida","address":{"name":"Department of Agricultural and Biological Engineering, University of Florida, Gainesville, USA","@type":"PostalAddress"},"@type":"Organization"}],"@type":"Person"},{"name":"G. Y. Tsuji","affiliation":[{"name":"University of Hawaii","address":{"name":"Department of Agronomy and Soil Science, University of Hawaii, Honolulu, USA","@type":"PostalAddress"},"@type":"Organization"}],"@type":"Person"},{"name":"G. Hoogenboom","affiliation":[{"name":"University of Georgia","address":{"name":"Biological and Agricultural Engineering Department, University of Georgia, Griffin, USA","@type":"PostalAddress"},"@type":"Organization"}],"@type":"Person"},{"name":"L. A. Hunt","affiliation":[{"name":"University of Guelph","address":{"name":"Crop Science Department, University of Guelph, Guelph, Canada","@type":"PostalAddress"},"@type":"Organization"}],"@type":"Person"},{"name":"P. K. Thornton","affiliation":[{"name":"International Livestock Research Institute","address":{"name":"International Livestock Research Institute, Nairobi, Kenya","@type":"PostalAddress"},"@type":"Organization"}],"@type":"Person"},{"name":"P. W. Wilkens","affiliation":[{"name":"International Fertilizer Development Center","address":{"name":"International Fertilizer Development Center, Muscle Shoals, USA","@type":"PostalAddress"},"@type":"Organization"}],"@type":"Person"},{"name":"D. T. Imamura","affiliation":[{"name":"University of Hawaii","address":{"name":"Department of Agronomy and Soil Science, University of Hawaii, Honolulu, USA","@type":"PostalAddress"},"@type":"Organization"}],"@type":"Person"},{"name":"W. T. Bowen","affiliation":[{"name":"Centro International de la Papa","address":{"name":"Centro International de la Papa, Lima 100, Peru","@type":"PostalAddress"},"@type":"Organization"}],"@type":"Person"},{"name":"U. Singh","affiliation":[{"name":"International Fertilizer Development Center","address":{"name":"International Fertilizer Development Center, Muscle Shoals, USA","@type":"PostalAddress"},"@type":"Organization"}],"@type":"Person"}],"keywords":"models, decision support system, DSSAT, sustainability, technology transfer, risk management","description":"Agricultural decision makers at all levels need an increasing amount of information to better understand the possible outcomes of their decisions to help them develop plans and policies that meet their goals. An international team of scientists developed a decision support system for agrotechnology transfer (DSSAT) to estimate production, resource use, and risks associated with different crop production practices. The DSSAT is a microcomputer software package that contains crop-soil simulation models, data bases for weather, soil, and crops, and strategy evaluation programs integrated with a ‘shell’ program which is the main user interface. In this paper, an overview of the DSSAT is given along with rationale for its design and its main limitations. Concepts for using the DSSAT in spatial decision support systems (for site-specific farming, farm planning, and regional policy) are presented. DSSAT provides a framework for scientific cooperation through research to enhance its capabilities and apply it to research questions. It also has considerable potential to help decision makers by reducing the time and human resources required for analyzing complex alternative decisions.","datePublished":"1998","isAccessibleForFree":false,"hasPart":{"isAccessibleForFree":false,"cssSelector":".main-content","@type":"WebPageElement"},"@type":"ScholarlyArticle","@context":"https://schema.org"}</script>
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<h1 class=c-article-title data-test=chapter-title data-chapter-title>Decision support system for agrotechnology transfer: DSSAT v3</h1>
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<p class=c-chapter-book-series>Part of the <a data-track=click data-track-action="open book series" data-track-label=link href=https://link.springer.com/bookseries/6502>Systems Approaches for Sustainable Agricultural Development</a> book series (SAAD,volume 7)</p>
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<section aria-labelledby=Abs1 data-title=Abstract lang=en><div class=c-article-section id=Abs1-section><h2 id=Abs1 class="c-article-section__title js-section-title js-c-reading-companion-sections-item">Abstract</h2><div class=c-article-section__content id=Abs1-content><p>Agricultural decision makers at all levels need an increasing amount of information to better understand the possible outcomes of their decisions to help them develop plans and policies that meet their goals. An international team of scientists developed a decision support system for agrotechnology transfer (DSSAT) to estimate production, resource use, and risks associated with different crop production practices. The DSSAT is a microcomputer software package that contains crop-soil simulation models, data bases for weather, soil, and crops, and strategy evaluation programs integrated with a ‘shell’ program which is the main user interface. In this paper, an overview of the DSSAT is given along with rationale for its design and its main limitations. Concepts for using the DSSAT in spatial decision support systems (for site-specific farming, farm planning, and regional policy) are presented. DSSAT provides a framework for scientific cooperation through research to enhance its capabilities and apply it to research questions. It also has considerable potential to help decision makers by reducing the time and human resources required for analyzing complex alternative decisions.<h3 class=c-article__sub-heading>Key words</h3><ul class=c-article-subject-list><li class=c-article-subject-list__subject><span><a href="https://link.springer.com/search?query=models&amp;facet-discipline=%22Life%20Sciences%22" data-track=click data-track-action="view keyword" data-track-label=link>models</a></span><li class=c-article-subject-list__subject><span><a href="https://link.springer.com/search?query=decision%20support%20system&amp;facet-discipline=%22Life%20Sciences%22" data-track=click data-track-action="view keyword" data-track-label=link>decision support system</a></span><li class=c-article-subject-list__subject><span><a href="https://link.springer.com/search?query=DSSAT&amp;facet-discipline=%22Life%20Sciences%22" data-track=click data-track-action="view keyword" data-track-label=link>DSSAT</a></span><li class=c-article-subject-list__subject><span><a href="https://link.springer.com/search?query=sustainability&amp;facet-discipline=%22Life%20Sciences%22" data-track=click data-track-action="view keyword" data-track-label=link>sustainability</a></span><li class=c-article-subject-list__subject><span><a href="https://link.springer.com/search?query=technology%20transfer&amp;facet-discipline=%22Life%20Sciences%22" data-track=click data-track-action="view keyword" data-track-label=link>technology transfer</a></span><li class=c-article-subject-list__subject><span><a href="https://link.springer.com/search?query=risk%20management&amp;facet-discipline=%22Life%20Sciences%22" data-track=click data-track-action="view keyword" data-track-label=link>risk management</a></span></ul></div></div></section>
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Box 110570, Gainesville, FL, 32611-0570, USA<p class=c-article-author-affiliation__authors-list>J. W. Jones</p><li id=Aff6><p class=c-article-author-affiliation__address>Department of Agronomy and Soil Science, University of Hawaii, 2500 Dole Street, Kr 22, Honolulu, HI, 96822, USA<p class=c-article-author-affiliation__authors-list>G. Y. Tsuji&nbsp;&amp;&nbsp;D. T. Imamura</p><li id=Aff7><p class=c-article-author-affiliation__address>Biological and Agricultural Engineering Department, University of Georgia, Griffin, Georgia, USA<p class=c-article-author-affiliation__authors-list>G. Hoogenboom</p><li id=Aff8><p class=c-article-author-affiliation__address>Crop Science Department, University of Guelph, Guelph, Ontario, Canada<p class=c-article-author-affiliation__authors-list>L. A. Hunt</p><li id=Aff9><p class=c-article-author-affiliation__address>International Livestock Research Institute, P.O. Box 30709, Nairobi, Kenya<p class=c-article-author-affiliation__authors-list>P. K. Thornton</p><li id=Aff10><p class=c-article-author-affiliation__address>International Fertilizer Development Center, P.O. Box 2040, Muscle Shoals, AL, 35662, USA<p class=c-article-author-affiliation__authors-list>P. W. Wilkens&nbsp;&amp;&nbsp;U. Singh</p><li id=Aff11><p class=c-article-author-affiliation__address>Centro International de la Papa, Apartado 1558, Lima 100, Peru<p class=c-article-author-affiliation__authors-list>W. T. Bowen</p></ol><div class="u-js-hide u-hide-print sf-hidden" data-test=author-info></div></div></div></section><section aria-labelledby=editor-information data-title="Editor information"><div class=c-article-section id=editor-information-section><h2 id=editor-information class="c-article-section__title js-section-title js-c-reading-companion-sections-item">Editor information</h2><div class=c-article-section__content id=editor-information-content><h3 class=c-article__sub-heading id=editor-affiliations>Editors and Affiliations</h3><ol class=c-article-author-affiliation__list><li id=Aff2><p class=c-article-author-affiliation__address>University of Hawaii-Manoa, Honolulu, Hawaii, USA<p class=c-article-author-affiliation__authors-list>Gordon Y. Tsuji </p><li id=Aff3><p class=c-article-author-affiliation__address>Department of Biological and Agricultural Engineering, The University of Georgia, Georgia, USA<p class=c-article-author-affiliation__authors-list>Gerrit Hoogenboom </p><li id=Aff4><p class=c-article-author-affiliation__address>International Livestock Research Institute, Nairobi, Kenya<p class=c-article-author-affiliation__authors-list>Philip K. 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Decision support system for agrotechnology transfer: DSSAT v3.
In: Tsuji, G.Y., Hoogenboom, G., Thornton, P.K. (eds) Understanding Options for Agricultural Production. Systems Approaches for Sustainable Agricultural Development, vol 7. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-3624-4_8<h3 class="c-bibliographic-information__download-citation u-mb-8 u-mt-16 u-hide-print">Download citation</h3><ul class=c-bibliographic-information__download-citation-list><li class=c-bibliographic-information__download-citation-item><a data-test=citation-link data-track=click data-track-action="download chapter citation" data-track-label=link data-track-external title="Download this article's citation as a .RIS file" rel=nofollow href="https://citation-needed.springer.com/v2/references/10.1007/978-94-017-3624-4_8?format=refman&amp;flavour=citation">.RIS<svg width=16 height=16 focusable=false role=img aria-hidden=true class=u-icon><use xmlns:xlink=http://www.w3.org/1999/xlink xlink:href=#icon-download></use></svg></a><li class=c-bibliographic-information__download-citation-item><a data-test=citation-link data-track=click data-track-action="download chapter citation" data-track-label=link data-track-external title="Download this article's citation as a .ENW file" rel=nofollow href="https://citation-needed.springer.com/v2/references/10.1007/978-94-017-3624-4_8?format=endnote&amp;flavour=citation">.ENW<svg width=16 height=16 focusable=false role=img aria-hidden=true class=u-icon><use xmlns:xlink=http://www.w3.org/1999/xlink xlink:href=#icon-download></use></svg></a><li class=c-bibliographic-information__download-citation-item><a data-test=citation-link data-track=click data-track-action="download chapter citation" data-track-label=link data-track-external title="Download this article's citation as a .BIB file" rel=nofollow href="https://citation-needed.springer.com/v2/references/10.1007/978-94-017-3624-4_8?format=bibtex&amp;flavour=citation">.BIB<svg width=16 height=16 focusable=false role=img aria-hidden=true class=u-icon><use xmlns:xlink=http://www.w3.org/1999/xlink xlink:href=#icon-download></use></svg></a></ul><ul class="c-bibliographic-information__list u-mb-24" data-test=publication-history><li class="c-bibliographic-information__list-item c-bibliographic-information__list-item--chapter-doi"><p data-test=bibliographic-information__doi><abbr title="Digital Object Identifier">DOI</abbr><span class="u-hide sf-hidden">: </span><span class=c-bibliographic-information__value>https://doi.org/10.1007/978-94-017-3624-4_8</span></p><li class=c-bibliographic-information__list-item><p data-test=bibliographic-information__publisher-name>
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