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Bridging the semantic gap in agriculture early warning

Published: 25 October 2015 Publication History

Abstract

Precision agriculture (PA) has been part of one of the most important changes in agriculture where the satellite farming introduced a farming management based on field monitoring. Precision agriculture has been targeted intensive farmlands. Small and medium farms have been forgotten. For this type of farming, it is important to use techniques and organisation that improve cultivation performance at low cost. Personal observation collectors and collective intelligence facilitate effective cultivation monitoring, customising the use of precision agriculture for small and medium farmlands. This paper defines an observation object named warncons (Warning Contents) and proposes an algebraic model to reduce the semantic gap in agriculture early warning management.

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Cited By

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  • (2024)Toward Sustainable Development: Exploring the Value and Benefits of Digital TwinsTelecom10.3390/telecom50300395:3(774-791)Online publication date: 12-Aug-2024
  • (2019)A Formal Model for Managing Multiple Observation Data in AgricultureInternational Journal of Intelligent Information Technologies10.4018/IJIIT.201907010515:3(79-100)Online publication date: 1-Jul-2019
  • (2017)A Model Representation Framework for Biodiversity Descriptors in a Cultivation AreaProceedings of the 9th International Conference on Management of Digital EcoSystems10.1145/3167020.3167046(168-172)Online publication date: 7-Nov-2017

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cover image ACM Other conferences
MEDES '15: Proceedings of the 7th International Conference on Management of computational and collective intElligence in Digital EcoSystems
October 2015
271 pages
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  • The French Chapter of ACM Special Interest Group on Applied Computing
  • IFSP: Federal Institute of São Paulo

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 October 2015

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Author Tags

  1. agriculture
  2. applied computing
  3. early warning
  4. observation
  5. wireless mesh networks

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  • Research-article

Funding Sources

  • JSPS (The Japan Society for the Promotion of Science)
  • CNPq (The National Council for Scientific and Technological Development) and Science without Borders Brazil

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MEDES '15
Sponsor:
  • IFSP

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MEDES '15 Paper Acceptance Rate 13 of 64 submissions, 20%;
Overall Acceptance Rate 267 of 682 submissions, 39%

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Cited By

View all
  • (2024)Toward Sustainable Development: Exploring the Value and Benefits of Digital TwinsTelecom10.3390/telecom50300395:3(774-791)Online publication date: 12-Aug-2024
  • (2019)A Formal Model for Managing Multiple Observation Data in AgricultureInternational Journal of Intelligent Information Technologies10.4018/IJIIT.201907010515:3(79-100)Online publication date: 1-Jul-2019
  • (2017)A Model Representation Framework for Biodiversity Descriptors in a Cultivation AreaProceedings of the 9th International Conference on Management of Digital EcoSystems10.1145/3167020.3167046(168-172)Online publication date: 7-Nov-2017

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