Pl@nteInfo® — a web-based system for personalised decision support in crop management
Identifieur interne : 000987 ( Istex/Corpus ); précédent : 000986; suivant : 000988Pl@nteInfo® — a web-based system for personalised decision support in crop management
Auteurs : Allan Leck Jensen ; Peter S. Boll ; Iver Thysen ; B. K PathakSource :
- Computers and Electronics in Agriculture [ 0168-1699 ] ; 2000.
English descriptors
Abstract
Pl@nteInfo® (www.planteinfo.dk) is a decision support system, which uses the World Wide Web to supply farmers and agricultural advisers with just-in-time information and decision support for crop management. A subscription system enables personalised information. Background data are collected from different sources, processed by decision support models, and the results are integrated into personalised web pages with embedded graphics, expert interpretations and links to additional information. This article presents the system with its decision support facilities and subscription system, the architectural design of the system using collaborating web servers and the technical solutions for creating personalised information in real time. Through the example of Pl@nteInfo®, the article shows that it is possible to build web-based decision support systems, where personalised advice is given in real time, based on user profiles together with distributed data and decision models. The article also analyses the user acceptance of the system. This analysis showed that the farmer and adviser subscribers are very dedicated users. Both the activity patterns and the preferences of subjects in the system are significantly different between these subscriber types, with farmers generally searching specific advice and advisors using the system to keep their knowledge up-to-date.
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DOI: 10.1016/S0168-1699(99)00074-5
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<front><div type="abstract" xml:lang="en">Pl@nteInfo® (www.planteinfo.dk) is a decision support system, which uses the World Wide Web to supply farmers and agricultural advisers with just-in-time information and decision support for crop management. A subscription system enables personalised information. Background data are collected from different sources, processed by decision support models, and the results are integrated into personalised web pages with embedded graphics, expert interpretations and links to additional information. This article presents the system with its decision support facilities and subscription system, the architectural design of the system using collaborating web servers and the technical solutions for creating personalised information in real time. Through the example of Pl@nteInfo®, the article shows that it is possible to build web-based decision support systems, where personalised advice is given in real time, based on user profiles together with distributed data and decision models. The article also analyses the user acceptance of the system. This analysis showed that the farmer and adviser subscribers are very dedicated users. Both the activity patterns and the preferences of subjects in the system are significantly different between these subscriber types, with farmers generally searching specific advice and advisors using the system to keep their knowledge up-to-date.</div>
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<notesStmt><note type="content">Fig. 1: An example of real-time decision support for diseases and pests in Pl@nteInfo®.</note>
<note type="content">Fig. 2: Information flow to create a web page in real time.</note>
<note type="content">Fig. 3: Time distribution of log-ins over weekdays for each subsciption group.</note>
<note type="content">Fig. 4: The distribution of log-ins over hour of day for each subscription group.</note>
<note type="content">Table 1: Different categories of subjects in Pl@nteInfo® 1998a</note>
<note type="content">Table 2: The decision support models of Pl@nteInfo® 1998</note>
<note type="content">Table 3: Geographical distribution of visits</note>
<note type="content">Table 4: Data for log-ins averaged by subscription type</note>
<note type="content">Table 5: Distribution within subscriber types of requests divided into subject categories (%)</note>
<note type="content">Table 6: Subjects with a top-five ranking within one of the subscriber typesa</note>
<note type="content">Table 7: The distribution of requests on decision support subjects (%)</note>
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<ce:abstract-sec><ce:simple-para>Pl@nteInfo® (www.planteinfo.dk) is a decision support system, which uses the World Wide Web to supply farmers and agricultural advisers with just-in-time information and decision support for crop management. A subscription system enables personalised information. Background data are collected from different sources, processed by decision support models, and the results are integrated into personalised web pages with embedded graphics, expert interpretations and links to additional information. This article presents the system with its decision support facilities and subscription system, the architectural design of the system using collaborating web servers and the technical solutions for creating personalised information in real time. Through the example of Pl@nteInfo®, the article shows that it is possible to build web-based decision support systems, where personalised advice is given in real time, based on user profiles together with distributed data and decision models. The article also analyses the user acceptance of the system. This analysis showed that the farmer and adviser subscribers are very dedicated users. Both the activity patterns and the preferences of subjects in the system are significantly different between these subscriber types, with farmers generally searching specific advice and advisors using the system to keep their knowledge up-to-date.</ce:simple-para>
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<abstract lang="en">Pl@nteInfo® (www.planteinfo.dk) is a decision support system, which uses the World Wide Web to supply farmers and agricultural advisers with just-in-time information and decision support for crop management. A subscription system enables personalised information. Background data are collected from different sources, processed by decision support models, and the results are integrated into personalised web pages with embedded graphics, expert interpretations and links to additional information. This article presents the system with its decision support facilities and subscription system, the architectural design of the system using collaborating web servers and the technical solutions for creating personalised information in real time. Through the example of Pl@nteInfo®, the article shows that it is possible to build web-based decision support systems, where personalised advice is given in real time, based on user profiles together with distributed data and decision models. The article also analyses the user acceptance of the system. This analysis showed that the farmer and adviser subscribers are very dedicated users. Both the activity patterns and the preferences of subjects in the system are significantly different between these subscriber types, with farmers generally searching specific advice and advisors using the system to keep their knowledge up-to-date.</abstract>
<note type="content">Fig. 1: An example of real-time decision support for diseases and pests in Pl@nteInfo®.</note>
<note type="content">Fig. 2: Information flow to create a web page in real time.</note>
<note type="content">Fig. 3: Time distribution of log-ins over weekdays for each subsciption group.</note>
<note type="content">Fig. 4: The distribution of log-ins over hour of day for each subscription group.</note>
<note type="content">Table 1: Different categories of subjects in Pl@nteInfo® 1998a</note>
<note type="content">Table 2: The decision support models of Pl@nteInfo® 1998</note>
<note type="content">Table 3: Geographical distribution of visits</note>
<note type="content">Table 4: Data for log-ins averaged by subscription type</note>
<note type="content">Table 5: Distribution within subscriber types of requests divided into subject categories (%)</note>
<note type="content">Table 6: Subjects with a top-five ranking within one of the subscriber typesa</note>
<note type="content">Table 7: The distribution of requests on decision support subjects (%)</note>
<subject lang="en"><genre>Keywords</genre>
<topic>World Wide Web</topic>
<topic>Personalisation</topic>
<topic>Decision support</topic>
<topic>Subscription</topic>
<topic>User analysis</topic>
</subject>
<relatedItem type="host"><titleInfo><title>Computers and Electronics in Agriculture</title>
</titleInfo>
<titleInfo type="abbreviated"><title>COMPAG</title>
</titleInfo>
<genre type="journal">journal</genre>
<originInfo><dateIssued encoding="w3cdtf">200002</dateIssued>
</originInfo>
<identifier type="ISSN">0168-1699</identifier>
<identifier type="PII">S0168-1699(00)X0040-3</identifier>
<part><date>200002</date>
<detail type="volume"><number>25</number>
<caption>vol.</caption>
</detail>
<detail type="issue"><number>3</number>
<caption>no.</caption>
</detail>
<extent unit="issue pages"><start>195</start>
<end>312</end>
</extent>
<extent unit="pages"><start>271</start>
<end>293</end>
</extent>
</part>
</relatedItem>
<identifier type="istex">9A82A94D109044153A6AF9D1C09DACCBB77A8576</identifier>
<identifier type="DOI">10.1016/S0168-1699(99)00074-5</identifier>
<identifier type="PII">S0168-1699(99)00074-5</identifier>
<accessCondition type="use and reproduction" contentType="copyright">©2000 Elsevier Science B.V.</accessCondition>
<recordInfo><recordContentSource>ELSEVIER</recordContentSource>
<recordOrigin>Elsevier Science B.V., ©2000</recordOrigin>
</recordInfo>
</mods>
</metadata>
<serie></serie>
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