Use case ecosystem
This use case combines the efforts of:
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Beck et al.: The company will develop competitive edge over market players and remove cloud-only limitations.
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Gregoire: The company will provide the sensors, install the materials and test potential solutions for the use case.
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Universidad Politecnica de Valencia: The university will develop the cloud framework for efficient provisioning and configuration of AI resources.
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Cloud & Heat: The company will provide the infrastructure and computing resources (including GPUs) for the test and validation of the use case.
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Polytechnic University of Milan: The university will support in the definition and optimisation of the AI models.
Key facts
Industry 4.0 exploits digital technologies (internet of things, big data, artificial intelligence) to optimise its processes. This sector has been growing rapidly over the last few years by using more accurate analysis and knowledge exchange enabled by these technologies.
The agricultural sector has also started to embrace this digital revolution. Two key innovations are linked to the adoption of GPS technologies and sensors that enable precision agriculture (PA). According to euractiv, almost 80% of new farming equipment has embedded PA components, with4500 manufacturers, 450 machine types, 135,000employees using digital farm systems worldwide. This digitisation will unleash €26 billion from Agriculture 4.0.
The agricultural sector is continuously expanding its research on digitalisation to further improve processes and production systems with artificial intelligence playing a key enabling role in driving change.
Uniqueness
The AI-SPRINT use case on Farming 4.0 will increase know-how and help the partners directly involved as end-users to establish themselves as market leader in vineyard technology.
The Farming 4.0 use case will use to optimise phytosanitary treatments, a key activity to The Farming 4.0 use case will use edge and intelligent sensors to optimise phytosanitary treatments, a key activity to preserve and protect the environment with the support of AI-SPRINT technology experts.
In particular, this use case will:
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Develop novel models for phytosanitary product optimisation, never used before in farming.
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Design AI models to collect data from the sensors deployed on grape harvesting machines.
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Develop and deploy solutions on a heterogeneous IT environment.
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Benefit from support to multi-cloud and open-source standards.
New AI-based process will ultimately help reduce the quantity of phytosanitary products needed for treating the vineyards while ensuring effectiveness.
Potential societal or environmental impacts
The Farming 4.0 use case will lower pollution levels by at least 35% by reducing the amount of chemical products used during agricultural processes. The use case will contribute also to biodiversity preservation.
The Farming 4.0 use case will pave the way for a resource-efficient and ultimately regenerative circular economy, protecting jobs and increasing competitiveness for a sustainable future. The use case will thereby help drive the implementation of Europe’s Farm to Fork strategy and ensure sustainable consumption and production patterns in line with the United Nation's Sustainable Development Goal 12.
