Alshihabi, Omran and Piikki, Kristin and Söderström, Mats
(2020).
CropSAT – A decision support system for practical use of satellite images in precision agriculture.
I/In: First International Conference on Smart Information and Communication Technologies, SmartICT 2019.
[Conference Paper]
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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.
| Authors/Creators: | Alshihabi, Omran and Piikki, Kristin and Söderström, Mats | ||||
|---|---|---|---|---|---|
| Title: | CropSAT – A decision support system for practical use of satellite images in precision agriculture | ||||
| Series Name/Journal: | Lecture Notes in Electrical Engineering | ||||
| Year of publishing : | 2020 | ||||
| Volume: | 684 | ||||
| Page range: | 415-421 | ||||
| Number of Pages: | 7 | ||||
| Publisher: | Springer International Publishing | ||||
| ISBN for printed version: | 978-3-030-53186-7 | ||||
| ISBN for electronic version: | 978-3-030-53187-4 | ||||
| ISSN: | 1876-1100 | ||||
| Language: | English | ||||
| Publication Type: | Conference Paper (UNSPECIFIED) | ||||
| Article category: | Scientific peer reviewed | ||||
| Version: | Published version | ||||
| Full Text Status: | Public | ||||
| Subjects: | (A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Agricultural Science (A) Swedish standard research categories 2011 > 1 Natural sciences > 102 Computer and Information Science > 10206 Computer Engineering | ||||
| URN:NBN: | urn:nbn:se:slu:epsilon-p-107059 | ||||
| Permanent URL: | http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-107059 | ||||
| Additional ID: |
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| ID Code: | 17482 | ||||
| Faculty: | NJ - Fakulteten för naturresurser och jordbruksvetenskap | ||||
| Department: | (NL, NJ) > Dept. of Soil and Environment (S) > Dept. of Soil and Environment | ||||
| Deposited By: | SLUpub Connector | ||||
| Deposited On: | 27 Jan 2021 11:28 | ||||
| Metadata Last Modified: | 27 Jan 2021 11:28 |
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