The International Workshop on Smart Web-powered Intelligence for Farm Technology and Agriculture (SWIFT-AG)

About:

For updated news and information about this workshop, please visit the workshop webpage

Smart Web-powered Intelligence for Farm Technology and AGriculture (SWIFT-AG) workshop serves as a central hub for bridging the gap between the Web’s vast potential and the practical needs of smart agriculture. Positioned within the broader spectrum of decision analytics, this workshop encapsulates the convergence of advanced Web technologies (IoT, Cloud, big data, etc.) and agricultural practices to enhance decision-making processes in the agricultural domain. The workshop aims to bridge the gap between theoretical concepts and real-world applications, fostering research endeavors spanning the domains of Internet of Things (IoT), drones, smart remote sensing, computer imaging, semantic data, data analysis, as well as machine learning and deep learning within the context of smart agriculture.

Organizers:

  • Khouloud Boukadi, Faculty of Economics and Management of Sfax, Tunisia, email: khouloud.boukadi@fsegs.usf.tn
  • Rima Grati, Zayed University, UAE, email: rima.grati@zu.ac.ae

Topics of Interest:

Some of the key topics relevant to workshop contributions (but are not limited to):

  • Web technologies for smart agriculture (cloud systems, IoT for data collection and analysis)
  • Semantic Web technologies for smart agriculture
  • AI-based Precision irrigation decision system
  • AI-based Fertilization decision system
  • AI-based early disease detection
  • Machine learning and deep learning models for smart agriculture
  • Blockchain-based solution for smart agriculture

Submission Guidelines

All submitted demo proposals must be formatted according to the instructions for submission format for research submissions and must be no longer than 8 pages in the Springer LNCS format. This page limit includes all parts of the paper: title, authors and affiliation, abstract, body, and bibliography. Demos will be selected based on (i) the novelty of the demo system, (ii) the novelty and the technical quality of the underlying research, and (iii) the demonstration scenario and applications of the presented system or technology.

All submissions must go through EasyChair system via Easychair

Important Dates

  • Submission Deadline: 30 June, 2024
  • Acceptance/Rejection Notification: 30 August, 2024
  • Camera-Ready Files Submission Deadline: 07 September, 2024

Publication

Please note that for every accepted paper, it is required that at least one person registers for the conference and presents the paper. All accepted papers will be included in the proceedings published as Springer’s LNCS series.