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Innovative drone-based solution for agriculture

PROJECTS
Funding
European
European Union
Duration
-
Status
Complete
Geo-spatial type
Other
Total project cost
€71 429
EU Contribution
€50 000
Project website
Project Acronym
APMAV
STRIA Roadmaps
Connected and automated transport (CAT)
Transport mode
Airborne icon
Transport policies
Other specified

Overview

Call for proposal
H2020-SMEInst-2016-2017
Link to CORDIS
Objectives

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.

Funding

Parent Programmes
Specific funding programme
H2020-EU.3.2. - SOCIETAL CHALLENGES - Food security, sustainable agriculture and forestry, marine, maritime and inland water research, and the bioeconomy
H2020-EU.3.2.4. - Sustainable and competitive bio-based industries and supporting the development of a European bioeconomy
H2020-EU.3.2.1. - Sustainable agriculture and forestry
H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
H2020-EU.3.2.2. - Sustainable and competitive agri-food sector for a safe and healthy diet

Partners

Lead Organisation
EU Contribution
€50 000

Technologies

Technology Theme
Sensor technologies
Technology
UAV with integrated laser scanning system

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