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Conference paper2020Peer reviewedOpen access

CropSAT – A decision support system for practical use of satellite images in precision agriculture

Alshihabi, Omran; Piikki, Kristin; Söderström, Mats

Abstract

CropSAT is an interactive decision support system (DSS) that provides vegetation index (VI) maps from Sentinel-2 data all across the globe and lets users delineate fields, design variable-rate application of user specified inputs (mainly nitrogen, but also e.g. fungicides or growth regulators) based on the VI maps. The CropSAT DSS was initially developed in a research project at the Swedish University of Agricultural Sciences (SLU), and has since its launch in 2015 been continuously developed in a private-public-partnership between SLU, private companies and the Swedish Board of Agriculture. Now it has global coverage, is continuously updated with new satellite images, and is provided free-of-charge in multiple languages (including Arabic and French). The present study aims at describing the CropSAT systems, summarizing research results from the ongoing developmental process and pointing to opportunities for applications in precision agriculture, e.g. in Morocco and other countries in North Africa.

Published in

Lecture Notes in Electrical Engineering
2020, volume: 684, pages: 415-421
Title: Advances in Smart Technologies Applications and Case Studies : Selected Papers from the First International Conference on Smart Information and Communication Technologies, SmartICT 2019, September 26–28, 2019, Saidia, Morocco
Publisher: Springer

Conference

International conference on smart Information & communication Technologies, 190926-190928, Saidia, Morocco

SLU Authors

UKÄ Subject classification

Computer Engineering
Agricultural Science

Publication identifier

  • DOI: https://doi.org/10.1007/978-3-030-53187-4_45
  • ISBN: 978-3-030-53186-7
  • eISBN: 978-3-030-53187-4

Permanent link to this page (URI)

https://res.slu.se/id/publ/107059