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25th MARS Conference Prague, CZ, 26-28 Nov. 2019

MARS PECHA KUCHA Cristina Monteserin PDF · Title: Microsoft PowerPoint - MARS PECHA KUCHA Cristina Monteserin PDF Author: cmserin Created Date: 12/5/2019 1:45:43 PM

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  • 25th MARS Conference Prague, CZ, 26-28 Nov. 2019

  • Cristina Monteserin – [email protected]

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    Private research center

    Focus on transferring technology

    to industry

    Over 10 years of experience in

    automatic image and video

    content analysis

  • 4

    More than 15 years of experience

    conducting on-the-spot inspections.

    Spin-off company of the University

    of Vigo specialized in geomatics and

    UAVS

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    Focused on providing software solutionsin Agriculture and Industry

    Spanish company founded in 1969, withmore than 700 ITC professionals

    Subsidiary companies abroad(Portugal, Costa Rica and Ecuador)

    Extensive experience developing tools forCAP aids management

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    Public Procurement of Innovative solutions (PPI)

    Promote the development of an innovative solution

    Not yet available on large scale comercial basis

    Promote the development of the rural environment

    Improve the living conditions of rural areas

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    Increasecontrol and compliance

    withregulations

    Reduce on-the spot checks

    Increasenumber ofinspected

    parcels

    Improveefficiency

    PRIMARE-IIA Objectives

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    Data collection Processing Automation

    Data adquisition

    Operations control

    Information management

    Calibration, ortho-

    rectification and

    georeferencing

    Segmentation and

    classification

    Inspection planning

    Execution of inspections and

    decision making

    Supervision

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    DATA COLLECTION

    TOP-DOWN APPROACH

    GEOTAGGED IMAGES

    UAV

    SATELLITE

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    Satellite(very high resolution)

    Drone(multispectral)

    Oblique

    Drone(360 o)

    Drone(ortophoto)

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    PROCESSING Land uses

    Crop types

    Lanscape features

    Evidences of agricultural

    activity

    CALIBRATION1

    ORTHORECTIFICATION2

    GEOREFERENCING3

    SEGMENTATION4

    SEMANTIC SEGMENTATION

    NEURAL NETWORKS

    NEURAL NETWORKS FOR

    OBJECT DETECTION

    INDEXES

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    PROCESSING

    Crop identification

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    PROCESSING

    Landscape features and evidences of agricultural activity identification

    Agricultural Activity

    Landscape features

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    PROCESSING

    Other kind of evidences

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    Processing – Expert system

    Generate work orders that must be satisfied by the capture module

    Control using data captured at certain times of the campaign

    Automatic inspection based on segmentation results of processing syste

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    CONTROL SAMPLE IMPORT

    INSPECTIONS PLANNING

    INSPECTION EXECUTION

    INSPECTION SUPERVISION

    Automation system as orchestrator

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    Automatic inspection

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    Decision support system

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    Support Tools for farmers

    Digital farmmanagement

    Geotaggedevidences

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    FUNCTIONAL DEFINITION SOLUTION IMPLEMENTATION DEMONSTRATION AND VALIDATION

    October 2018 December 2019

    3.000 plots

    90% hits

  • THANK YOU