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Agronomy
Special Issues
Precision Viticulture for Vineyard Management
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Precision Viticulture for Vineyard Management

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Horticultural and Floricultural Crops".

Deadline for manuscript submissions: closed (31 December 2024) | Viewed by 11149

Special Issue Editor

Dr. Rita Perria

E-Mail Website
Guest Editor
CREA–Research Centre for Viticulture and Enology, Viale Santa Margherita, 80-52100 Arezzo, Italy
Interests: vineyard management; precision viticulture; sustainable viticulture; grapevine protection
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Vineyards are variable, so management can be aimed within vineyards based on the variation in their inherent characteristics and objectives in terms of yield, grape quality and winemaking goals. The availability of a range of technologies, known as precision viticulture, provides winemakers and grape growers with the means to control variability to take advantage of the best areas and improve weaker ones. This Special Issue provides a review of recent research on vineyard variability and the development and application of precision viticulture techniques and technologies in vineyard and farm management.

Summary: Viticulture plays a crucial role in world agricultural production and is considered a production with a great economic impact in wine-growing countries. This Special Issue will focus on trends in new technologies in precision viticulture, whic seeks to use information technology to support vineyard operations and management, such as soil management, fertilizer use, water resource management, pesticide application, etc. Vineyard monitoring through precision viticulture technologies provides temporal and spatial information related to environmental parameters and crop characteristics. The information is collected, processed, and analyzed through various digital technologies. Among them, information and communication technologies (ICTs), decision support systems (DSSs), variable rate mechanization (VRT), remote and proximal sensors, and deep learning can help optimize vineyard management, saving resources, improving crop quantity and quality, and increasing sustainability. All of these technologies have a number of potential applications in precision viticulture.

Dr. Rita Perria
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agronomy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • spatial variability
  • remote and proximal sensing
  • yield mapping
  • vineyard survey
  • terroir
  • vineyard management
  • sustainable production

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Published Papers (4 papers)

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Research

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29 pages, 88315 KiB  
Article
Monitoring the Progression of Downy Mildew on Vineyards Using Multi-Temporal Unmanned Aerial Vehicle Multispectral Data
by Fernando Portela, Joaquim J. Sousa, Cláudio Araújo-Paredes, Emanuel Peres, Raul Morais and Luís Pádua
Agronomy 2025, 15(4), 934; https://doi.org/10.3390/agronomy15040934 - 11 Apr 2025
Viewed by 602
Abstract
Monitoring vineyard diseases such as downy mildew (Plasmopara viticola) is important for viticulture, enabling an early intervention and optimized disease management. This is crucial for disease monitoring, and the use of high-spatial-resolution multispectral data from unmanned aerial vehicles (UAVs) can allow [...] Read more.
Monitoring vineyard diseases such as downy mildew (Plasmopara viticola) is important for viticulture, enabling an early intervention and optimized disease management. This is crucial for disease monitoring, and the use of high-spatial-resolution multispectral data from unmanned aerial vehicles (UAVs) can allow to for a better understanding of disease progression. This study explores the application of UAV-based multispectral data for monitoring downy mildew infection in vineyards through multi-temporal analysis. This study was conducted in a vineyard plot in the Vinho Verde region (Portugal), where 84 grapevines were monitored, half of which received phytosanitary treatments while the other half were left untreated in this way during the growing season. Seven UAV flights were performed across different phenological stages to assess the effects of infection using spectral bands, vegetation indices, and morphometric parameters. The results indicate that downy mildew affects canopy area, height, and volume, restricting the vegetative growth. Spectral analysis reveals that infected grapevines show increased reflectance in the visible and red-edge bands and a progressive decline in near-infrared (NIR) reflectance. Several vegetation indices demonstrated a suitable response to the infection, with some of them being capable of detecting early-stage symptoms, while vegetation indices using red edge and NIR allowed us to track disease progression. These results highlight the potential of UAV-based multi-temporal remote sensing as a tool for vineyard disease monitoring, supporting precision viticulture and the assessment of phytosanitary treatment effectiveness. Full article
(This article belongs to the Special Issue Precision Viticulture for Vineyard Management)
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21 pages, 1432 KiB  
Article
A Monthly Water Balance Model for Vineyard Planning and Inter-Row Management
by Maria Costanza Andrenelli, Sergio Pellegrini, Claudia Becagli, Alessandro Orlandini, Rita Perria, Paolo Storchi and Nadia Vignozzi
Agronomy 2025, 15(1), 233; https://doi.org/10.3390/agronomy15010233 - 18 Jan 2025
Viewed by 1007
Abstract
Vineyard is one of the most complex and vulnerable agroecosystems, and ongoing climate change makes it necessary to identify effective management and adaptation practices. For this reason, a water balance model tailored for viticulture was developed to be implemented within a Decision Support [...] Read more.
Vineyard is one of the most complex and vulnerable agroecosystems, and ongoing climate change makes it necessary to identify effective management and adaptation practices. For this reason, a water balance model tailored for viticulture was developed to be implemented within a Decision Support System (DSS) aimed at supporting winemakers both in the vineyard’s planning and management phase. Starting from a simple monthly water balance, based on the Thornthwaite–Mather method, the model returns the water stress risk class through the connection to a soil and climate database; the user can however customize the response by inserting information related to a specific vineyard (e.g., planting, soil, and management layout). The model was tested using data from a three-year field experiment carried out in a vineyard under permanent grass cover (PG) or continuous tillage (CT), allowing for the evaluation of its performance in terms of water balance estimation. The model provided results consistent with the measured soil moisture values, and the annual risk of water stress corresponds to what was measured in the field, differing at most by only one class. The model can guide the user in finding the best solutions for designing new vineyards or managing the inter-row by simulating the adoption of different strategies (trellis system, planting density, type of cover crop or soil tillage) or suggesting alternative solutions (needs of irrigation supply, more suitable cultivars, or rootstocks). Full article
(This article belongs to the Special Issue Precision Viticulture for Vineyard Management)
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20 pages, 5769 KiB  
Article
Geoelectric Joint Inversion for 3D Imaging of Vineyard Ground
by Nicola Lopane, Matteo Albéri, Alessio Barbagli, Enrico Chiarelli, Tommaso Colonna, Fabio Gallorini, Enrico Guastaldi, Fabio Mantovani, Dario Petrone, Silvio Pierini, Kassandra Giulia Cristina Raptis and Virginia Strati
Agronomy 2024, 14(11), 2489; https://doi.org/10.3390/agronomy14112489 - 24 Oct 2024
Viewed by 6032
Abstract
Using a novel joint inversion approach, this study tackles the challenge of accurately characterizing subsurface electrical resistivity in vineyards, a critical and strategic aspect of precision viticulture. For the first time, we integrate 3D Galvanic Contact Resistivity with multi-2D Capacitively Coupled Resistivity data. [...] Read more.
Using a novel joint inversion approach, this study tackles the challenge of accurately characterizing subsurface electrical resistivity in vineyards, a critical and strategic aspect of precision viticulture. For the first time, we integrate 3D Galvanic Contact Resistivity with multi-2D Capacitively Coupled Resistivity data. Conducted in a prestigious Sangiovese vineyard in Montalcino (Tuscany, Italy), the data are analyzed utilizing a single algorithm capable of inverting Capacitively Coupled Resistivity, Galvanic Contact Resistivity, and joint datasets. This approach combines data sensitive to different depths and spatial resolutions, resulting in a comprehensive analysis of soil resistivity variations and moisture distribution, thus providing a detailed and coherent subsurface model. The joint inversion produced a high spatial resolution 3D resistivity model with a density of 20.21 data/m3. This model significantly enhances subsurface characterization, delineating root systems and correlating water distribution with resistivity patterns, showing relative variations sometimes greater than 50%. This method reduced data misfit more effectively than individual inversions and identified a low-resistivity volume (<20 Ω·m), extending from northeast to south, indicating the presence of subsurface water. The systematic alternation of high and low resistivity across vineyard rows highlights the impact of soil management activities on resistivity and supports targeted interventions for vineyard health. Full article
(This article belongs to the Special Issue Precision Viticulture for Vineyard Management)
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Review

Jump to: Research

18 pages, 362 KiB  
Review
Satellite Solutions for Precision Viticulture: Enhancing Sustainability and Efficiency in Vineyard Management
by Ana Mucalo, Damir Matić, Antonio Morić-Španić and Marin Čagalj
Agronomy 2024, 14(8), 1862; https://doi.org/10.3390/agronomy14081862 - 22 Aug 2024
Cited by 4 | Viewed by 2522
Abstract
The priority problem in intensive viticulture is reducing pesticides, and fertilizers, and improving water-use efficiency. This is driven by global and EU regulatory efforts. This review, systematically examines 92 papers, focusing on progress in satellite solutions over time, and (pre)processing improvements of spatio-temporal [...] Read more.
The priority problem in intensive viticulture is reducing pesticides, and fertilizers, and improving water-use efficiency. This is driven by global and EU regulatory efforts. This review, systematically examines 92 papers, focusing on progress in satellite solutions over time, and (pre)processing improvements of spatio-temporal and spectral resolution. The importance of the integration of satellites with ground truth data is highlighted. The results provide precise on-field adaptation strategies through the generation of prescription maps and variable rate application. This enhances sustainability and efficiency in vineyard management and reduces the environmental footprint of vineyard techniques. The effectiveness of different vegetation indices in capturing spatial and temporal variations in vine health, water content, chlorophyll levels, and overall vigor is discussed. The challenges in the use of satellite data in viticulture are addressed. Advanced satellite technologies provide detailed vineyard monitoring, offering insights into spatio-temporal variability, soil moisture, and vine health. These are crucial for optimizing water-use efficiency and targeted management practices. By integrating satellite data with ground-based measurements, viticulturists can enhance precision viticulture, reduce reliance on chemical interventions, and improve overall vineyard sustainability and productivity. Full article
(This article belongs to the Special Issue Precision Viticulture for Vineyard Management)
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