Search Results (79)

Bud break is a critical phenological stage in muscadine grapevines, marking the start of the growing season and the increasing need for irrigation management. Real-time bud detection enables irrigation to match muscadine grape phenology, conserving water and enhancing performance. This study presents BudCAM, a low-cost, solar-powered, edge computing camera system based on Raspberry Pi 5 and integrated with a LoRa radio board, developed for real-time bud detection. Nine BudCAMs were deployed at Florida A&M University Center for Viticulture and Small Fruit Research from mid-February to mid-March, 2024, monitoring three wine cultivars (A27, noble, and Floriana) with three replicates each. Muscadine grape canopy images were captured every 20 min between 7:00 and 19:00, generating 2656 high-resolution (4656 × 3456 pixels) bud break images as a database for bud detection algorithm development. The dataset was divided into 70% training, 15% validation, and 15% test. YOLOv11 models were trained using two primary strategies: a direct single-stage detector on tiled raw images and a refined two-stage pipeline that first identifies the grapevine cordon. Extensive evaluation of multiple model configurations identified the top performers for both the single-stage (mAP@0.5 = 86.0%) and two-stage (mAP@0.5 = 85.0%) approaches. Further analysis revealed that preserving image scale via tiling was superior to alternative inference strategies like resizing or slicing. Field evaluations conducted during the 2025 growing season demonstrated the system’s effectiveness, with the two-stage model exhibiting superior robustness against environmental interference, particularly lens fogging. A time-series filter smooths the raw daily counts to reveal clear phenological trends for visualization. In its final deployment, the autonomous BudCAM system captures an image, performs on-device inference, and transmits the bud count in under three minutes, demonstrating a complete, field-ready solution for precision vineyard management. Full article

Ligurian viticulture is characterized by a fragmented landscape and diverse microclimatic conditions, presenting both challenges and opportunities for grape production under climate change. This study investigates the perceived impacts of climate change on viticulture in Eastern (Levante) and Western (Ponente) Liguria, with a focus on vine growth dynamics, productivity, and the adaptation strategies adopted by local winegrowers. Semi-structured interviews with 48 winemakers revealed significant shifts in grape maturation (p < 0.001), earlier harvest dates, and increased vulnerability to fungal diseases (p < 0.01), primarily driven by rising temperatures and altered precipitation regimes. A notable rise in extreme temperature events (p < 0.01) was reported, with all respondents (100%) observing irregular seasonal temperature fluctuations. Furthermore, climate change was linked to changes in local fauna, particularly the expansion of ungulate populations (p < 0.001), leading to increased vineyard damage. In response, growers have adopted a range of adaptive measures, including drought-resistant rootstocks (e.g., M-series), traditional training systems (Guyot, Alberello), and local innovations such as the low pergola in Cinque Terre. Principal component analysis (PCA) revealed region-specific adaptation profiles, underscoring the influence of environmental and agronomic variability on viticultural resilience. Logistic regression identified temperature variability, disease incidence, and precipitation shifts as key predictors of perceived climate impact. The results underscore the urgency of developing regionally tailored adaptation strategies to sustain viticulture in Liguria’s complex and changing landscape. Full article

Climate change poses significant challenges for viticulture, particularly in regions known for producing high-quality wines. Wine quality results from a complex interaction between climatic factors, regional characteristics, and viticultural practices. Methods: This study integrates statistical analysis, machine learning (ML) algorithms, and systems thinking to assess the extent to which wine quality can be predicted using monthly weather data and regional classification. The dataset includes average wine scores, monthly temperatures and precipitation, and categorical region data for Slovenia between 2011 and 2021. Predictive models tested include Random Forest, Support Vector Machine, Decision Tree, and linear regression. In addition, Causal Loop Diagrams (CLDs) were constructed to explore feedback mechanisms and systemic dynamics. Results: The Random Forest model showed the highest prediction accuracy (R² = 0.779). Regional classification emerged as the most influential variable, followed by temperatures in September and April. Precipitation did not have a statistically significant effect on wine ratings. CLD models revealed time delays in the effects of adaptation measures and highlighted the role of perceptual lags in growers’ responses to climate signals. Conclusions: The combined use of ML, statistical methods, and CLDs enhances understanding of how climate variability influences wine quality. This integrated approach offers practical insights for winegrowers, policymakers, and regional planners aiming to develop climate-resilient viticultural strategies. Future research should include phenological phase modeling and dynamic simulation to further improve predictive accuracy and system-level understanding. Full article

Climate change has a significant negative impact on agriculture and food production. This trend requires technological development and the adaptation of new technologies in both the grapevine production and winemaking sectors. High temperatures and heat accumulation during the growing season result in faster ripening and a higher sugar content, leading to a higher alcohol content during fermentation. The negative consequences are an imbalanced wine character and consumer reluctance, as lower alcoholic beverages are now in high demand. Over the last decade, several methods have been developed to handle this impact and reduce the alcohol content of wines. In this study, we used the MASTERMIND^® REMOVE membrane-based dealcoholization system to reduce the alcohol concentration in of Pinot gris wines from 12.02% v/v to 10.69% v/v and to investigate the effect on analytical parameters in three steps (0.5%, 1%, and 1.5% reductions) along the treatment. To evaluate the impact of the partial alcohol reduction and identify correlations between the wine chemical parameters, data were analyzed with ANOVA, PCA, multivariate linear regression and cluster analysis. The results showed that except for the extract, sugar content and proline content, the treatment had a significant effect on the chemical parameters. Both free and total SO₂ levels were significantly reduced as well as volatile acid, glycerol and succinic acid levels. It must be highlighted that some parameters were not differing significantly between the untreated and the final wine, while the change was statistically verified in the intermediate steps of the partial alcohol reduction. This was the case for example for n-Propanol, i-Amylalcohol, Acetaldehyde, and Ethyl acetate. The multivariate linear regression model explained 18.84% of the total variance, indicating a modest but meaningful relationship between the alcohol content and the investigated analytical parameters. Our results showed that even if the applied instrument significantly modified some of the wine chemical parameters, those changes would not influence significantly the wine sensory attributes. Full article

The production of winter wines in Southeastern Brazil represents a relatively recent but expanding viticultural approach, with increasing adoption across diverse wine-growing regions. This system relies on the double-pruning technique, which allows for the harvest of grapes during the dry and cooler winter season, favoring a greater accumulation of sugars, acids, and phenolic compounds. This study aimed to characterize the phenological stages, thermal requirements, yield, and fruit quality of the fine wine grape cultivars ‘Sauvignon Blanc’, ‘Merlot’, ‘Tannat’, ‘Pinot Noir’, ‘Malbec’, and ‘Cabernet Sauvignon’ under double-pruning management in a subtropical climate. The vineyard was established in 2020, and two production cycles were evaluated (2022/2023 and 2023/2024). Significant differences in the duration of phenological stages were observed among cultivars, ranging from 146 to 172 days from pruning to harvest. The accumulated thermal demand was higher in the first cycle, with a mean of 1476.9 growing degree days (GDD) across cultivars. The results demonstrate the potential of Vitis vinifera L. cultivars managed with double pruning for high-quality wine production under subtropical conditions, supporting the viability of expanding viticulture in the state of São Paulo. ‘Cabernet Sauvignon’ and ‘Sauvignon Blanc’ showed the highest yields, reaching 3.03 and 2.75 kg per plant, respectively, with productivity values of up to 10.8 t ha⁻¹. ‘Tannat’ stood out for its high sugar accumulation (23.4 °Brix), while ‘Merlot’ exhibited the highest phenolic (234.9 mg 100 g⁻¹) and flavonoid (15.3 mg 100 g⁻¹) contents. These results highlight the enological potential of the evaluated cultivars and confirm the efficiency of the double-pruning system in improving grape composition and wine quality in non-traditional viticultural regions. Full article

Vin Santo is a passito wine produced mainly in Tuscany. In the traditional production of Vin Santo, fermentation occurs naturally. Only a few reports have explored the microbial ecology of Vin Santo. Therefore, the present study aimed to investigate the microbial ecology and its impact on the fermentative kinetics in traditional processes of Vin Santo carried out in two different Tuscan wineries. Despite the different systems used for drying the grapes, both wineries showed similar microbial ecology. Non-Saccharomyces yeasts were the dominant microbial population during grape drying in different succession, even though in the end, the dominant species (at different percentages) in both were Metschnikowia pulcherrima, Kloeckera apiculata, and Starmerella bacillaris. The spontaneous fermentations were instead both dominated by Saccharomyces cerevisiae, however in different concentration throughout the process, leading to a different ethanol content—12% (v/v) and 10.8% (v/v) in winery A and B, respectively. In both wineries, acetic bacteria and moulds did not grow. Considering the intraspecific biodiversity of S. cerevisiae populations, the vinifications of both wineries displayed very similar biodiversity indices. No single strain of S. cerevisiae dominated the entire fermentation process. The analysis identified 30 distinct genetic patterns in the fermentations of winery A and 23 in the fermentations of winery B. The work provided an insight into the microbial communities and their metabolomic interactions during Vin Santo production which could improve the management and control of the process. Full article

Foodborne diseases are a growing public health problem worldwide, and chemical foodborne disease outbreaks (FBDOs) often have serious consequences. This study aimed to explore the epidemiological characteristics of chemical FBDOs in Zhejiang Province, China, and propose targeted prevention and control measures. Descriptive statistical methods were used to analyze chemical FBDO data collected from the Foodborne Disease Outbreaks Surveillance System in Zhejiang Province from 2011 to 2023. From 2011 to 2023, 74 chemical FBDOs were reported in Zhejiang Province, resulting in 461 cases, 209 hospitalizations, and one death. In contrast to other types of FBDOs, the percentage of hospitalized cases in chemical FBDOs was the highest (45.34%) (chi-square = 1047.9, p < 0.001). Outbreaks caused by nitrite accounted for the largest percentage (56.76%), followed by lead (17.57%). Outbreaks caused by nitrite occurred mainly in households (27), followed by restaurants (6), street stalls (5), and work canteens (3). Among all nitrite-related outbreaks, 59.52% (25/42) were caused by cooking food where it was used as a common seasoning, 26.19% (11/42) by eating pickled vegetables, 7.14% (3/42) by eating cooked meat products, and 4.76% (2/42) by eating grain products. Outbreaks caused by the misuse of nitrite in cooking mainly occurred in households (68%, 17/25), street stalls (16%, 4/25), work canteens (8%, 2/25), and restaurants (8%, 2/25). Outbreaks caused by eating pickled vegetables occurred mainly in households (90.91%, 10/11), and one outbreak occurred in a work canteen. Outbreaks caused by lead (n = 13) occurred in households, and liquor was involved in 12 outbreaks where they were caused by residents consuming yellow rice wine stored in tin pots. In view of the frequent outbreaks of chemical foodborne diseases in our province from 2011 to 2023, a variety of prevention and control measures were proposed based on the research results of the temporal and regional distribution, food and food establishments involved, and the etiological agents of the chemical FBDOs. However, the effectiveness of these recommendations needs to be further verified and studied. In general, public health institutions should further strengthen the surveillance and health education of the population. Individuals should store toxic chemicals, such as nitrates, pesticides, and rodenticides correctly to avoid poisoning by ingestion. In view of the chemical FBDOs caused by food in the catering and distribution links, relevant departments should strengthen targeted supervision. Full article

Viticulture in Montenegro faces significant challenges due to fragmented data management, limited access to high-resolution climate predictions, and the lack of systematic integration between stakeholders. This study addresses these issues by proposing a knowledge-driven system architecture that consolidates climate and phenology data, facilitates multi-level data sharing, and supports informed decision-making for sustainable vineyard management. Using Montenegro as a case study, the proposed decision support platform integrates data from Internet of Things-enabled climate pilots, existing databases, and predictive modeling tools to address limitations in existing datasets, such as low resolution and inaccurate downscaling methods, and to tackle the broader challenges posed by climate change, including shifting weather patterns and phenological cycles. The system architecture provides a framework for stakeholders, including researchers, winegrowers, and policymakers, to collaborate effectively, bridging the gap between localized data collection and high-level decision-making. The paper outlines the current state of viticulture in Montenegro and the EU, highlights the need for a systematic approach to data management, and details the benefits of such a system at various levels. The proposed platform architecture and implementation steps outlined in this study serve as a robust framework, offering valuable guidance for other countries seeking to establish similar systems to enhance the efficiency, sustainability, and resilience of their viticulture sectors. This research contributes to the broader understanding of knowledge-driven systems in precision agriculture and provides a scalable model for regions facing similar challenges. Full article

Microalgae possess the remarkable ability to autotrophically grow, utilizing atmospheric carbon dioxide (CO₂) for photosynthesis, thereby converting solar energy into chemical energy and releasing oxygen. This capacity makes them an effective tool for mitigating industrial CO₂ emissions. Mathematical models are crucial for predicting microalgal growth kinetics and thus assessing their potential as industrial CO₂ sequestration agents under controlled conditions. This study innovatively evaluated the effect of continuously supplying CO₂ from winemaking processes on microalgal cultivation and biomass production, demonstrating a novel approach to both carbon capture and the valorization of a valuable by-product. To analyze microalgal growth kinetics, three mathematical models were employed: Logistic, First Order Plus Dead Time, and Second Order Plus Dead Time. Optimal parameter values for each model were identified using a hybrid search algorithm developed by our research group. First, an integrated microvinification system was established, utilizing two microalgae species, Chlorella spp. (FAUBA-17) and Desmodesmus spinosus (FAUBA-4), in conjunction with yeast fermenters. This system facilitated a comparison of the biomass kinetics of these two microalgae species, selecting Chlorella spp. (FAUBA-17) as the most suitable candidate for subsequent cultivation. A pilot-scale vertical column photobioreactor was then constructed and installed at the Casimiro Wines boutique winery in Angaco, San Juan, Argentina. After 15 days of operation within the photobioreactor, a biomass growth of 1.04 ± 0.05 g/L and 1.07 ± 0.1 g/L was obtained in Photobioreactors 1 and 2, respectively. This novel integrated approach to CO₂ capture in the winemaking process is unprecedented. These findings highlight the potential for producing high-value microalgal biomass, promoting the establishment of a local biorefinery and fostering a circular economy and sustainable social development. Full article

The French wine industry is spread across the country and represents 789,000 ha (2023). Over 20% of the plant protection products (PPPs) sold in France are used in viticulture on less than 4% of the French UAA (Utilized Agricultural Area). The share of wine estates with organic farming certification has risen sharply, reaching 9% of French vineyards in 2016. The position occupied by the wine sector on both the national and international scale confirms the need to examine the impacts of different management practices in viticulture on human health and the environment. This study presents an approach to the assessment of plant protection practices in vineyards based on indicators of plant protection pressure and risk. It was carried out on wine-growing farms in the southwest of France, surveyed according to the two farming systems: conventional/integrated and organic. The main objective of this study was to compare the health and environmental impact of the PPPs used in these two farming systems. The impact assessment result of wine-growing plant protection practices shows that some pesticides and molecules used in organic farming, especially those based on copper and sulfur, are more harmful than products used in conventional/integrated farming, in particular to the environment. For this reason, all stakeholders involved in pesticide management should recognize the health and environmental impact of PPPs in order to reduce and to control their toxicity risks to public health and the natural environment. Full article

Different physicochemical factors have an influence on wine quality, for instance, quantity of grapes, PH, temperature, and humidity over the growing season. However, despite the weather conditions of the season, the product, grapes, is deposited in the wineries. At that time, a set of analyses are conducted to determine some chemical parameters of the grapes. This work is focused on the chemical parameters obtained at wineries to establish a method to pay farmers according to quality parameters. These parameters have been determined by the technicians at wineries, that is, the experts on wine, as well as market expectations. The idea behind this work is to introduce policies that promote quality instead of quantity, bringing about a change in the mentality of the farmers. These policies pay attention to water consumption or reduction in fertilizers that, of course, affect the chemical parameters of wine but also the sustainability of the sector and the region, in this case, Castilla-La Mancha in Spain. The application developed in this work, called DICAUVACOOP, not only promotes good practices but also introduces penalties. On the other hand, the calculations of each campaign are stored in databases that allow users to conduct comparisons among different campaigns showing the data in a Geographic Information System (GIS) as a decision-making support tool. Another effect of this process is to improve the visibility and brand positioning of Castilla-La Mancha wines on the world stage. Full article

Background: The wine industry in arid area serves as a crucial livelihood source at the frontiers of anti-desertification and anti-poverty. By making use of a carbon footprint (CF) management system, formerly untapped climate values can be explored, embedded, and cherished to connect rural communities with the global goals of sustainable development. However, the current standards of CF management mainly represent the traditional wine grape growing areas of Europe, Oceania, and North America. Limited study of the arid areas in lower-income regions exists, which offers a kind of potential development knowledge regarding creating climate-related livelihoods. Methods: This paper attempts to construct a cradle-to-gate CF Life Cycle Assessment (LCA) framework based on the prominent emission factors in three GHG emission phases (raw material input, planting management, and transportation) of a wine grape variety, Cabernet Sauvignon (chi xia zhu), planted at the Eastern Foothills of the Helan Mountains in the Ningxia Hui Autonomous Region of China. Results: It is found that viticulture processes (instead of wine-making, bottling, or distribution) account for a larger proportion of GHG emissions in Ningxia. Due to the large amount of irrigation electricity usage, the less precipitation wine producers have, the larger CF they produce. By using organic fertilizer, the CF of Ningxia Cabernet Sauvignon, being 0.3403 kgCO₂e/kg, is not only lower than that of the drier areas in Gansu Province (1.59–5.7 kgCO₂e/kg) of Western China, but it is even lower than that of the Israel Negev Region (0.342 kgCO₂e/kg) that experiences more rainfall. Conclusions: The measurement of CF also plays a role in understanding low-carbon experience sharing. As the largest wine grape production area in China, CF analysis of the Ningxia region and its commercial value realization might practically fill in the knowledge gap for desert areas in developing countries. It is inspiring to know that by applying green agricultural technologies, the viticulture CF can be effectively reduced. For the potential exchanges in global carbon markets or trading regulations under the Carbon Border Adjustment Mechanism (CBAM), positive variations in CF and soil organic carbon (SOC) storage volume need to be considered within financial institutional design to lead to more participation toward SDGs. Full article

The combination of volatile compounds endows wines with unique aromatic characteristics and is closely related to their geographical origins. In the pursuit of origin identification and the subdivision of homogeneous production areas, clarifying the characteristics of production areas is of great significance for improving wine quality and commercial value. In this study, GC×GC-TOFMS technology was used to analyze the aroma characteristics of “Cabernet Sauvignon” wines from 26 wineries in the Helan (HL), Yinchuan (YC), Yongning (YN), Qingtongxia (QTX), and Hongsibu (HSP) sub-producing areas in the eastern foothills of Helan Mountain in Ningxia, China. The results indicate a gradual increase in relative humidity from the southern part of Ningxia, with the YN sub-region showing optimal fruit development and the QTX region having the highest maturity. A total of 184 volatile compounds were identified, with 36 compounds with an OAV > 1, crucial for the aroma profiles of primarily fermentation-derived alcohols and esters. An aromatic vector analysis revealed that “floral” and “fruity” notes are the primary characteristics of Cabernet Sauvignon wines from the Helan Mountain East region, with lower maturity aiding in the retention of these aromas. By constructing a reliable OPLS-DA model, it was determined that 15 substances (VIP > 1) played a crucial role in identifying production areas, among which phenylethyl alcohol and isoamyl alcohol were the main contributors. In addition, a Pearson correlation analysis showed a negative correlation between sunlight duration during the growing season and benzyl alcohol accumulation, while a significant positive correlation was observed during the ripening period. Due to the critical role of phenyl ethanol in identifying producing areas, this further demonstrates that sunshine conditions may be a key factor contributing to the differences in wine flavor across regions. This study offers a theoretical foundation for understanding the relationship between climatic factors and flavor characteristics, addressing the issue of wine homogenization in small production areas, clarifying typical style characteristics, and establishing a traceability technology system based on characteristic aroma. Full article

Greek wines excel in quality and exports, but the viticultural sector faces significant challenges from complex supply chains, shifting European policies, and the growing need for sustainability amidst climate change and economic pressures. External environmental costs could affect significantly the decision-making process of farmers, reflecting a broader evaluation of sustainability in viticulture. This study evaluates the economic and environmental impacts of organic, integrated, and conventional viticulture management systems in Drama, Greece using a life cycle (LC) approach and data envelopment analysis (DEA) to determine efficiency, quantify environmental impacts in monetary terms, and incorporate these costs into the analysis. Organic management systems have lower energy consumption and emissions compared to integrated and conventional systems, with organic systems ranging from 4546 to 6573 kWh/ha in energy use and 1358 to 1795 kg CO₂ eq./ha in emissions, while integrated and conventional systems range from 9157 to 12,109 kWh/ha and 2961 to 3661 kg CO₂ eq./ha. The DEA analysis reveals that most organic systems perform efficiently when accounting for environmental costs, whereas conventional systems face significant efficiency declines, with only a few maintaining optimal performance. Policy-supported transitions based on the provider gets principle are crucial for balancing economic and environmental goals in viticulture, as the integration of shadow prices significantly impacts efficiency. Full article

Our study aimed to analyse socio-economic sustainability and the drivers of land abandonment in the Kras region of Slovenia, a representative eastern Mediterranean farmland area. We also sought to provide policy recommendations for supporting biodiversity conservation and facilitating the sustainable transition of similar High Nature Value (HNV) farming systems across Europe. The Slovenian Typical Farm Model (SiTFarm) was used to assess the economic performance of representative livestock and wine-growing farm types. Additionally, in-depth interviews with farmers were conducted to understand their perspectives on these farming systems and their preferences for alternative management strategies and policy instruments. Our findings indicate that, due to the introduction of basic income support for sustainability and complementary voluntary coupled payments, budgetary support for the livestock sector in the region is projected to increase by 27–55% in estimated gross margins during the 2023–2027 Common Agricultural Policy (CAP) period, depending on the farm type. Furthermore, farms can enhance their economic performance by converting to organic farming and enrolling in agri-environmental schemes that promote extensive grasslands management, which is crucial for biodiversity conservation. This suggests that Slovenia’s current CAP strategic plan adequately addresses the maintenance of the existing farming systems. However, the region faces significant challenges, particularly in restructuring small farms and adding value to primary farm products. These issues appear to be insufficiently addressed by the current CAP strategic plan, implying that limited progress is expected in mitigating land abandonment in the long term. Comprehensive strategies for the development of feasible HNV farming systems, aligned with biodiversity conservation recommendations, and a well-managed system of supporting institutions and policy instruments is needed to facilitate more market-oriented and sustainable development of agriculture at the local level. Full article