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Low-cost multispectral camera for Precision Farming Application

Project description

Multispectral camera takes small-scale farms into the digital age

Small-scale farms, which make up two thirds of EU agriculture, need to adopt digital technology to carry out more efficient and resource-friendly sustainable practices. However, the current uptake of this technology is relatively low, mainly due to the high initial cost of the necessary equipment. The EU-funded MCAPEFA project will enable small farms to access digital technology by developing a low-cost multispectral camera that can be mounted on a drone, allowing several farms to be monitored during a single growing season. The data acquired will be used to classify the condition of plants, and a designed decision support system will suggest appropriate agricultural activity in the field. Hence, MCAPEFA will help provide infrastructure for the wider adoption of precision farming to maximise quality and yields.

Objective

The main goal of this proposal is improving the adoption of precision farming in small farms. Small farms share 67% of all farms in the EU, and small farmers need to adopt digital technology to get efficient and resource-friendly sustainable farming. Unfortunately, adoption of that technology is relatively low, especially with small filed sizes, due to large initial cost of necessary equipment. This research will overcome the financial barrier with the development of a new low-cost multispectral camera. The main hypothesis is that, contrary to the common commercial solution, the multispectral camera can be achieved using combinations of camera's spectral response and spectral response of the triple-band filter. This idea is a new approach to multispectral imaging. Designed low-cost multispectral camera together will thermal imaginer will be mounted on a drone and a few farms will be monitored during one agricultural season. Acquired data will be the basis for developing an algorithm for classifying the state of the plants. After classification, a designed decision support system will
suggest appropriate agricultural activity in the field. All previous results will be unified in smartphone applications with a friendly user interface. This research will provide infrastructure for wider adoption of precision farming, which is crucial for maximizing production and quality, the efficiency of nitrogen use and minimizing environmental pollution, especially due to nitrate contamination of drinking water and aquatic ecosystems.

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Keywords

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Programme(s)

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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.

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.

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-IF-2020

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Coordinator

UNIVERSITA DEGLI STUDI DI TRENTO
Net EU contribution

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.

€ 183 473,28
Address
VIA CALEPINA 14
38122 TRENTO
Italy

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Region
Nord-Est Provincia Autonoma di Trento Trento
Activity type
Higher or Secondary Education Establishments
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Total cost

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.

€ 183 473,28
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