Zazu (Q3988861): Difference between revisions

From EU Knowledge Graph
Jump to navigation Jump to search
(‎Changed an Item: Fixing summary)
(‎Changed an Item: Adding English translations)
Property / summary
 
Murmellius B.V. develops, builds and tests in this project Zazu, an Artificial Intelligence Software for smart earth observation. With the help of satellite and drone images, enriched with open source data such as weather data, large areas are mapped. The very large amount of data will be automatically analysed with self-learning image recognition and state-of-the-art AI methods. The results of the analyses are then visualised on a map and an analysis report is generated. Zazu will be developed and demonstrated for various applications, such as visualising potential agricultural area in Africa and monitoring crop growth. (English)
Property / summary: Murmellius B.V. develops, builds and tests in this project Zazu, an Artificial Intelligence Software for smart earth observation. With the help of satellite and drone images, enriched with open source data such as weather data, large areas are mapped. The very large amount of data will be automatically analysed with self-learning image recognition and state-of-the-art AI methods. The results of the analyses are then visualised on a map and an analysis report is generated. Zazu will be developed and demonstrated for various applications, such as visualising potential agricultural area in Africa and monitoring crop growth. (English) / rank
 
Normal rank
Property / summary: Murmellius B.V. develops, builds and tests in this project Zazu, an Artificial Intelligence Software for smart earth observation. With the help of satellite and drone images, enriched with open source data such as weather data, large areas are mapped. The very large amount of data will be automatically analysed with self-learning image recognition and state-of-the-art AI methods. The results of the analyses are then visualised on a map and an analysis report is generated. Zazu will be developed and demonstrated for various applications, such as visualising potential agricultural area in Africa and monitoring crop growth. (English) / qualifier
 
point in time: 15 December 2021
Timestamp+2021-12-15T00:00:00Z
Timezone+00:00
CalendarGregorian
Precision1 day
Before0
After0

Revision as of 06:19, 15 December 2021

Project Q3988861 in Netherlands
Language Label Description Also known as
English
Zazu
Project Q3988861 in Netherlands

    Statements

    0 references
    345,411.9 Euro
    0 references
    912,580.978 Euro
    0 references
    37.85 percent
    0 references
    1 March 2020
    0 references
    1 March 2023
    0 references
    BeBr Consultancy B.V.
    0 references
    0 references

    53°13'15.49"N, 6°33'47.84"E
    0 references
    9712 GG
    0 references
    Murmellius B.V. ontwikkelt, bouwt en test in dit project Zazu, een Artificial Intelligence Software voor slimme aardobservatie. Met behulp van satelliet en drone beelden, verrijkt met open source data zoals weerdata, worden grote gebieden in kaart gebracht. De zeer grote hoeveelheid data zal automatisch worden geanalyseerd met zelflerende beeldherkenning en state-of-the-art AI methodes. De uitkomsten van de analyses worden vervolgens gevisualiseerd op een kaart en er wordt een analyserapport gegenereerd. Zazu zal voor verschillende toepassingen worden ontwikkeld en gedemonstreerd, zoals het visualiseren van potentieel landbouwgebied in Afrika en het monitoren van gewasgroei. (Dutch)
    0 references
    Murmellius B.V. develops, builds and tests in this project Zazu, an Artificial Intelligence Software for smart earth observation. With the help of satellite and drone images, enriched with open source data such as weather data, large areas are mapped. The very large amount of data will be automatically analysed with self-learning image recognition and state-of-the-art AI methods. The results of the analyses are then visualised on a map and an analysis report is generated. Zazu will be developed and demonstrated for various applications, such as visualising potential agricultural area in Africa and monitoring crop growth. (English)
    15 December 2021
    0 references

    Identifiers

    OP-2014-2023-Noord-OPSNN0287
    0 references