PEI-AGRI

Digital Viticulture in Tuscany

Obiettivi
Objectives

Development of an operational tool that can be used by wineries for the early estimation of production and quality. The project aims to satisfy the real business interests, meeting the operational criticalities and finding solutions for the improvement of production processes in terms of times and costs. Among the business critical issues in the Tuscan wine-growing context, the project intends to intervene on the forecast of yields and quality through the analysis of ultra-high resolution images remotely sensed by drone, aimed at recognizing individual clusters.

Activities
  • Animation between partners, coordination and information activities
  • Realization of a prototype: development of a drone (EFESTO) for precision viticulture applications
  • Characterization of the variability in terms of vigor present within the experimental vineyards
  • Estimated production and estimate quality
  • Development of an operational tool: development of an unsupervised tool that, starting from the images acquired by the drone, gives companies back support for decisions

 

Context

In recent years scientific research in the field of precision viticulture has provided increasingly performing and cutting-edge technologies for sitespecific monitoring and implementation. However, the actual use of these techniques is slow to spread. One of the causes is the excessively specific nature of the proposed solutions that move away from the concrete interests of the companies. This project intends to satisfy those that are the real business interests, meeting the operational problems and finding solutions that allow the improvement of production processes in terms of time and costs. Among the criticalities in the Tuscan viticultural context, the project involves on the yield prediction and quality through the analysis of high resolution remote sensing images from drone.

Partenariato
Ruolo
Leader
Name
CNR - Istituto per la BioEconomia IBE
Action manager
Alessandro Matese
@email
Ruolo
Partner
Name
Castello di Ama
Action manager
Filippo Vigni
@email
Ruolo
Partner
Name
Marchesi Mazzei S.p.A. Agricola
Action manager
Gionata Pulignani
@email
Ruolo
Partner
Name
Cennino Agricola
Action manager
Matteo Tonghini
@email
Ruolo
Partner
Name
Sigma Ingegneria srl
Action manager
Simone Giusti
@email
Pratice abstract
Description

Among the most important business criticalities in the Tuscan viticultural context, the project intends to involve on the yield prediction and quality through the analysis of high resolution remote sensing images from drone.
Innovative technologies specific to precision agriculture will be identified and combined to create an operational workflow capable of responding to the identified operational needs. Specifically, a UAS (Unmanned Aerial System) platform will be used, created by a multirotor equipped with high resolution optical sensors capable of characterizing the variability inside the vineyard (multispectral camera), identifying areas representative of the variability and in these areas acquiring visible images. (RGB camera) in high detail of the fruit belt.