Elena Mania

University of Turin

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Silvia Guidoni

University of Turin

Luca Gangemi

Silvia Cavalletto

University of Turin

Andriani Asproudi

Cereal Research Centre

Maurizio Petrozziello

Cereal Research Centre

Valentina Andreoli

Osaka University

Mauro Piazzi

Regione Puglia

Claudio Cassardo

University of Turin

S. Ferrarese

Istituto Nazionale di Fisica Nucleare, Sezione di Torino

Silvia Rita Stazi

University of Ferrara

Cooperative Institutions

University of Turin

Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria

Cereal Research Centre

Centro di Ricerca per l’Orticoltura

Università degli Studi della Tuscia

Centre National de la Recherche Scientifique

Bitron (Italy)

Organizzazione per la Tutela Forestale, Ambientale e Agroalimentare

Centro Agricoltura Ambiente (Italy)

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement

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Leaf Area Index evaluation in vineyards using 3D point clouds from UAV imagery

Precision Agriculture (2019)

Lorenzo Comba Alessandro Biglia Davide Ricauda Aimonino Cristina Tortia Elena Mania

Abstract The Leaf Area Index (LAI) is an ecophysiology key parameter characterising the canopy-atmosphere interface where most of the energy fluxes are exchanged. However, producing maps for managing the spatial and temporal variability of LAI in large croplands with traditional techniques is typically laborious and expensive. The objective of this paper is to evaluate the reliability of LAI estimation by processing dense 3D point clouds as a cost-effective alternative to traditional LAI assessments. This would allow for high resolution, extensive and fast mapping of the index, even in hilly and not easily accessible regions. In this setting, the 3D point clouds were generated from UAV-based multispectral imagery and processed by using an innovative methodology presented here. The LAI was estimated by a multivariate linear regression model using crop canopy descriptors derived from the 3D point cloud, which account for canopy thickness, height and leaf density distribution along the wall. For the validation of the estimated LAI, an experiment was conducted in a vineyard in Piedmont: the leaf area of 704 vines was manually measured by the inclined point quadrant approach and six UAV flights were contextually performed to acquire the aerial images. The vineyard LAI estimated by the proposed methodology showed to be correlated with the ones obtained by the traditional manual method. Indeed, the obtained R 2 value of 0.82 can be considered fully adequate, compatible to the accuracy of the reference LAI manual measurement.

Vineyard

Topographic Wetness Index

10.1007/s11119-019-09699-x

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Citations (102)

VICMOTO: Physical modeling and numerical simulation applied to vineyard

BIO Web of Conferences (2019)

Elena Mania Valentina Andreoli Silvia Cavalletto Claudio Cassardo Silvia Guidoni

The knowledge at site level of meteorological and environmental variables involved in vine vegetative development and in grape maturation process is not enough to perceive the plant behaviour in a heterogeneous agro-system such as a vineyard. A useful support for winegrowers decision-making arises from the use of crop growth models able to simulate physiological processes that occur in the atmosphere-plant-soil interface. The study was conducted, during the 2016 and 2017 season, in a Nebbiolo vineyard equipped with ‘above’ and ‘below’ the canopy meteorological sensors. Meteorological measures, soil characteristics and vineyards features were used as input of the VICMOTO model developed to simulate phenological phases, leaf area and grape yield development, water available for the plant in the soil vine water status and berry sugar accumulation. Specific field surveys were used to calibrate and validate the numerical model. VICMOTO showed quite good performance in simulating phenological phases, sugar accumulation and yield, while vine leaf area and soil water potential are less accurate. The calibration and validation of VICMOTO requires measurements to be carried out on different sites and years. In order to obtain a better agreement between simulations and measures, it might be appropriate to modify the parameters and algorithms related to vegetative development and soil water potential.

Vineyard

Vine

Growing season

10.1051/bioconf/20191302006

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Citations (4)

Grapevine row orientation mediated temporal and cumulative microclimatic effects on grape berry temperature and composition

Agricultural and Forest Meteorology (2021)

J.J. Hunter C.G. Volschenk Elena Mania Alejandro Vicente M. Booyse

Vineyard

Ripeness

Microclimate

Veraison

10.1016/j.agrformet.2021.108660

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Citations (15)

Grape aroma precursors in cv. Nebbiolo as affected by vine microclimate during ripening.

Andriani Asproudi Daniela Borsa Maurizio Petrozziello Ersilia Capone Elena Mania

Vine

Microclimate

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Citations (0)

Per una corretta utilizzazione del suolo del vigneto. 110- 111.

Elena Mania Luca Gangemi Silvia Guidoni

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Slope viticulture risk factors impacting on the environment equilibrium. The case of North-West Italy.

Silvia Guidoni Luca Gangemi Elena Mania

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Citations (2)

Managing Vineyard Topography and Seasonal Variability to Improve Grape Quality and Vineyard Sustainability

Agronomy (2021)

Elena Mania Fabio Petrella Matteo Giovannozzi Mauro Piazzi Alena Wilson

Topography may induce variability in meteorological conditions at the meso-scale level and could influence grape quality. Understanding the impact of topography on grape ripening allows for the development of sustainable management practices that include topographical influences in their consideration. This is also important for applying proactive strategies able to counter the expected changes of climate. This study was conducted on cv. Nebbiolo vineyards in North-West Italy. The topographic traits were performed in 17 vineyards within the region, which had previously been identified as belonging to different terroir units. An analysis of historical meteorological data series was also carried out to characterize the units from the meteorological point of view. The grape composition was investigated during 2012 and 2013. Based on the topography traits, a Cluster Analysis classified the 17 vineyards into four groups. Differences among groups mainly concerned insolation and heat accumulation. Topography influenced the individual components of grape quality differently depending on the seasonal weather trend. Interactions between topography and vintage were observed for a few parameters. Better understanding the grapevine reaction to external factors/site characteristics can allow for improved site and season-specific management decision making and can contribute to improving vineyard sustainability while maintaining winery objectives and wine typicity.

Vineyard

Winery

Terroir

Growing season

10.3390/agronomy11061142

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Citations (9)

The soil biodiversity as a support to environmental sustainability in vineyard.

Elena Mania Mauro Piazzi Luca Gangemi Andrea Edmondo Rossi Fabrizio Cassi

Vineyard

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