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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology civil engineering water engineering irrigation
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- social sciences sociology social issues social inequalities
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics autonomous robots drones
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.3.2. - SOCIETAL CHALLENGES - Food security, sustainable agriculture and forestry, marine, maritime and inland water research, and the bioeconomy
MAIN PROGRAMME
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H2020-EU.3.2.4. - Sustainable and competitive bio-based industries and supporting the development of a European bioeconomy
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H2020-EU.3.2.1. - Sustainable agriculture and forestry
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H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
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H2020-EU.3.2.2. - Sustainable and competitive agri-food sector for a safe and healthy diet
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME-1 - SME instrument phase 1
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-SMEInst-2016-2017
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
28020 Madrid
Spain
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.