Background

Beck et al. Services S.R.L. (Beck) is a digital service provider that supports companies on their journey to digitisation, helping them get a grip on data analysis and setting up cloud-based or hybrid solutions.

Gregoire is a French company specialised in harvesting machines and sprayers manufacturing, based in Cognac. The company produces a wide range of vineyard maintenance tools and holds the leading position in the viticulture sector worldwide. 

 

Use case ecosystem

This use case combines the efforts of: 

  • Beck et al.: The company develops competitive edge over market players and remove cloud-only limitations. 
  • Gregoire: The company provides the sensors, install the materials and test potential solutions for the use case.
  • Universidad Politecnica de Valencia: The university develops the cloud framework for efficient provisioning and configuration of AI resources.
  • Cloud & Heat: The company provides the infrastructure and computing resources (including GPUs) for the test and validation of the use case.
  • Politecnico di Milano: The university provides its expertise in designing the sensor suite to be installed on the agricultural machines and in defining and optimising 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 in coming years.

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. It will use edge and intelligent sensors to optimise phytosanitary treatments, helping to preserve and protect the environment with the support of AI-SPRINT technology experts.

In particular, this use case will:

  • Develop novel models for phytosanitary product optimisation, which have never been used before in farming.
  • Design AI models to collect data from the sensors deployed on grape harvesting machines.
  • Develop and deploy solutions on a heterogeneous IT environment, benefitting also 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.
 


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