Calls for papers


International Journal of Sustainable Agricultural Management and Informatics
International Journal of Sustainable Agricultural Management and Informatics


Special Issue on: "Collective Intelligence Computer-Aided Methods for Sustainable Agriculture"

Guest Editors:
Dr. Frederic Andres, National Institute of Informatics, Japan
Dr. Rodrigo Bonacin, Center for Information Technology Renato Archer, Brazil
Dr Alexandre Guitton, Université Blaise Pascal Clermont-Ferrand, France
Dr Asanee Kawtrakul, Kasetsart University, Thailand

Sustainable agriculture is the principle of providing long-term economic viability of farms, while maintaining environment quality. Sustainability brings important benefits, but requires an adequate monitoring (e.g. of the soil, crops and weather) as well as the knowledge of good practices by farmers. In many developing countries, these two requirements can be difficult to meet.

The aim of the special issue is to present computer-aided methods for sustainable agriculture that rely on collective intelligence. In this domain, collective intelligence refers to the collaboration of several users in order to improve the quality of the computer-aided decisions. For instance, farmers working in the same village could collaborate in several ways: to relay the data monitored in fields to the village centre, to improve the confidence in the relayed data (through multi-modality data refinement), or to help distributing generated advices and warnings to other farmers.

Overall, the collective intelligence computer-aided methods include the monitoring of fields or weather (using wireless sensor networks, image processing, etc.), the estimation of the accuracy of the data, the collection of the monitored data, the data analysis (using signal processing methods), the computer-based decision-making, the automatic generation of advices for farmers, as well as the privacy aspects.

Contributions to this special issue are expected to present recent innovative results, both academic and practical. Priority will be given to contributions based on real experiments or on real datasets.

Academicians, researchers, practitioners, policy makers, and observers will be informed by the strategies, good practices or policies relevant to the topic and critical issues.

Subject Coverage
Suitable topics include, but are not limited to, the following:

  • Computer-aided fields monitoring
  • Data quality estimation, data refinement, multi-modality
  • Data analysis, signal processing, graph signal processing
  • Decision algorithms, operational research, learning algorithms, artificial intelligence
  • Collective intelligence
  • Intuitive user interfaces
  • Security, confidentiality, privacy
  • Social and economic impacts of sustainable agriculture and computer-aided agriculture

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).

All papers are refereed through a peer review process.

All papers must be submitted online. To submit a paper, please read our Submitting articles page.

Important Dates

Submission of Manuscripts: 24 July, 2015