Innovative Vineyards Environmental Monitoring System Using Deep Edge AI - Université de Reims Champagne-Ardenne Access content directly
Book Sections Year : 2021

Innovative Vineyards Environmental Monitoring System Using Deep Edge AI

Marcello Coppola
  • Function : Author
Louis Noaille
  • Function : Author
Clément Pierlot
  • Function : Author
Rachel Ouvinha de Oliveira
  • Function : Author
Nathalie Gaveau
Marine Rondeau
Lucas Mohimont
Simone Sindaco
  • Function : Author
Tullio Salmon
  • Function : Author


With a turnover of more than 4.2 billion euros in 2020 and a 20% share in the value of the French wine industry's exports, the champagne industry represents a considerable weight in the French economy. In this context of significant economic development, the issue of climate change has been added, calling into question the practices and means of production of the sector. The challenges related to global warming and an ever-increasing demand for yield can be addressed using the Internet of Things (IoT) and Artificial Intelligence (AI) technologies to benefit champagne production and answer these challenges. This article presents a solution to optimise Vranken Pommery products' quality and make environmentally friendly decisions by using intelligent sensors distributed as close as possible to the production and storage facilities to collect data. These sensors use LoRaWAN technology and protocol to communicate. The system integrates components capable of hosting artificial intelligence algorithms and using advanced microcontrollers that allow for intelligent communication network implementation while reducing power consumption and deployment costs.
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hal-03355270 , version 1 (28-09-2021)



  • HAL Id : hal-03355270 , version 1


Marcello Coppola, Louis Noaille, Clément Pierlot, Rachel Ouvinha de Oliveira, Nathalie Gaveau, et al.. Innovative Vineyards Environmental Monitoring System Using Deep Edge AI. Artificial Intelligence for Digitising Industry Applications, River Publishers, pp.261-278, 2021, 9788770226646. ⟨hal-03355270⟩


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