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APMAV

Innovative drone-based solution for agriculture

Total Cost €

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EC-Contrib. €

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Partnership

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 APMAV project word cloud

Explore the words cloud of the APMAV project. It provides you a very rough idea of what is the project "APMAV" about.

tool    big    performance    frameworks    harvest    thanks    last    vision    costumer    agricultural    added    farming    crop    phytosanitary    solution    qualities    fruit    detection    full    secure    tractor    data    deep    services    provides    leveraging    industry    commoditization    hemav    multispectral    intelligent    consists    cameras    diseases    speaks    leader    discrimination    improves    hydric    valuable    decision    fertilization    analyze    software    acquired    plagues    techniques    apmav    recommendations    thermal    time    stack    actionable    reporting    machine    drone    specialized    anomalies    prediction    algorithms    automatically    language    irrigation    tractors    agriculture    center    farmers    sensors    era    portal    erps    intuitive    give    uav    rapid    mentioned    platform    uavs    planning    civil    organoleptic    web    reports    learning    hyperspectral    displays    flight    chemical    entrance    drive    sent    sme    tools    digital    farmer    cloud    computer   

Project "APMAV" data sheet

The following table provides information about the project.

Coordinator
HEMAV TECHNOLOGY SL 

Organization address
address: CALLE CARLOS TRIAS BERTRAN 4 1A PLANTA
city: MADRID
postcode: 28020
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Project website https://hemav.com/proyecto/apmav/
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3.2.4. (Sustainable and competitive bio-based industries and supporting the development of a European bioeconomy)
2. H2020-EU.3.2.1. (Sustainable agriculture and forestry)
3. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
4. H2020-EU.3.2.2. (Sustainable and competitive agri-food sector for a safe and healthy diet)
 Code Call H2020-SMEINST-1-2016-2017
 Funding Scheme SME-1
 Starting year 2017
 Duration (year-month-day) from 2017-03-01   to  2017-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    HEMAV TECHNOLOGY SL ES (MADRID) coordinator 50˙000.00

Map

 Project objective

HEMAV, a technology-based SME leader in civil services with UAV, is developing APMAV, the tool that will ensure the entrance of the European agriculture in the digital era and the 4.0 Industry. It consists in a full stack approach, leveraging several technology developments including deep learning frameworks, advancement in computer vision, and rapid commoditization of sensors, cameras, and UAVs to address the above-mentioned challenges. APMAV consists of an intuitive solution for agricultural management based on drone technology and an intelligent cloud-based platform, that provides farmers valuable, actionable and real-time recommendations that drive down costs and improves crop performance. Data is acquired with thermal, multispectral or hyperspectral sensors by HEMAV's drone during flight and is sent automatically to the cloud-based HEMAV Data Center for processing. Specialized reports are generated by a software and algorithms developed during the last two years by HEMAV to analyze anomalies in the fields and give specific recommendations to the farmer. A secure web portal displays the reports that a costumer can access. Moreover, specific recommendations can be integrated automatically with other farming tools as tractors, irrigation systems or ERPs (Drone-to-tractor technology).

Thanks to big data and machine learning techniques, APMAV will provide value-added reporting to farmers aiming at improving their decision-making process and the exploitation management. These are: 1) Application of phytosanitary products, fertilization and irrigation; 2) Harvest planning; 3) Detection and prediction of plagues and diseases; 4) Fruit organoleptic or chemical qualities discrimination; 5) Discrimination of areas according to the fertilization potential; 6) Determination of the hydric condition. All of this will be achieved through an easy-to-use support decision tool that “speaks” the farmer’s language.

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The information about "APMAV" are provided by the European Opendata Portal: CORDIS opendata.

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