Project description
Growing orchard health to power precision farming innovation
In European orchards, detecting diseases and monitoring plant health have been persistent challenges, often resulting in excessive pesticide use. This not only poses environmental risks but also impacts food quality and safety. Traditional methods lack precision, leading to inefficiencies and increased costs for farmers. In this context, the EU-funded HORTIQD project will develop an innovative machine vision system for precision farming. Using lead- and mercury-free quantum dot technology, it aims to develop a hyperspectral short-wave infra-red camera that is suitable for orchard monitoring. By using deep learning algorithms, it will detect diseases early and assess plant health in real time. Integrated with autonomous tractors, it promises to enhance farming sustainability and reduce pesticide dependency.
Objective
The HortiQD project aims to develop an affordable and easy-to-use machine vision system for precision farming. The objective is to build a hyperspectral Short-Wave Infra Red camera working in the wavelength range of 1 - 2 µm with integrated point detection at smaller wavelengths, specifically suitable for orchard monitoring. To reach this goal we propose a novel detector type based on QD technology, based on lead- and mercury-free QDs in compliance with EU regulations and reducing the component cost by approximately 99%. The optical filter will allow for high spectral and spatial resolution, tunable to specific application requirements by design. The hyperspectral images, recorded in-vivo, will be analyzed by deep-learning algorithms in order to identify diseases in an early state and assess the plant health, starting with apples. A data management and correlation system will be set up and present the derived diagnoses and measures directly to the farmer in real-time. The system will be mounted on an already existing autonomous tractor, customized for horticulture, in order to verify the feasibility and targeted TRLs under realistic conditions in several orchard types.
HortiQD will help to reduce or avoid the usage of pesticides in European orchards, paving the way towards sustainable farming and increasing food quality. It will scale up the intensity of monitoring by automation, hence, ensure the reliability of European food production. It will help analyze and address the impacts of climate change.
The project aims for a fully integrated solution, consisting of several innovative sub components. Each of the developments brings benefit to the industry it addresses and opens up new markets, beyond agriculture and food.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- social sciences sociology industrial relations automation
- agricultural sciences agriculture, forestry, and fisheries agriculture horticulture
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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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HORIZON.2.4 - Digital, Industry and Space
MAIN PROGRAMME
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HORIZON.2.4.2 - Key Digital Technologies
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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.
HORIZON-IA - HORIZON Innovation Actions
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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) HORIZON-CL4-2023-DIGITAL-EMERGING-01
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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.
80686 MUNCHEN
Germany
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.