Antonio Stasi

Sustainable water use is a major challenge in irrigated agriculture, particularly in arid and semi-arid regions where water availability strongly influences crop productivity and quality. Almond (Prunus dulcis (Mill.) D.A. Webb) is an important nut crop cultivated extensively in such environments, making efficient irrigation management essential for sustainable production. A total of 63 studies were included in the review, comprising 62 field studies and one pot experiment, some of which incorporated modelling, remote sensing, physiological monitoring, or sensor-based irrigation-management approaches, to evaluate deficit irrigation (DI) in almond, with particular emphasis on regulated deficit irrigation (RDI), sustained deficit irrigation (SDI), low-frequency deficit irrigation (LFDI), and partial root-zone drying (PRD). The review examines how irrigation strategy, deficit intensity, timing and duration of water restriction, cultivar, tree age, and environmental conditions affect irrigation water savings, yield, kernel quality, water productivity, water-use efficiency, and physiological responses. In addition, the economic implications of DI and recent applications of remote sensing (RS) for detecting water stress and supporting irrigation scheduling are evaluated. Overall, the evidence indicates that DI can substantially reduce irrigation water use while maintaining acceptable yields and, under specific conditions, improving kernel quality. However, responses vary considerably among studies, reflecting interactions among deficit characteristics, environmental conditions, cultivar, and tree age and limiting the development of universally applicable management recommendations. The review further indicates that integrating DI with RS-based monitoring has potential to support site-specific and adaptive irrigation management by improving water allocation, detecting emerging water stress, and enhancing water-use efficiency. Such integrated approaches may become increasingly important in regions experiencing greater drought frequency and competition for water resources. Future research should prioritize multi-environment and multi-cultivar validation of integrated DI–RS approaches, the development of practical decision-support tools and economic thresholds, and the assessment of their transferability from experimental conditions to commercial orchards. Combining physiological indicators, RS technologies, and crop-specific irrigation strategies could contribute to more resilient and sustainable almond production under increasing water scarcity and climate variability.

This study, conducted in Southern Italy in 2023, investigated the effects of a dynamic agrivoltaics (AV) system on microclimate, water consumption, plant growth, and essential oil yield in six medicinal species: lavender (Lavandula angustifolia L. ‘Royal purple’), lemmon thyme (Thymus citriodorus (Pers.) Schreb. ar. ‘Aureus’), common thyme (Thymus vulgaris L.), rosemary (Salvia rosmarinus Spenn. ‘Severn seas’), mint (Mentha spicata L. ‘Moroccan’), and sage (Salvia officinalis L. subsp. Officinalis). Due to the rotating solar panels, two distinct ground zones were identified: a consistently shaded area under the panels (UP), and a partially shaded area between the panels (BP). These were compared to an adjacent full-sun control area (T). Microclimate parameters, including solar radiation, air and leaf infrared temperature, and soil temperature, were recorded throughout the cultivation season. Reference evapotranspiration (ET_O) was calculated using Turc’s method, and crop evapotranspiration (ET_C) was estimated with species-specific crop coefficients (K_C). Results showed significantly lower microclimatic values in the UP plot compared to both BP and especially T, resulting in ET_C reductions of 81.1% in UP and 13.1% in BP relative to T, an advantage in water-scarce environments. Growth and yield responses varied among species and treatment plots. Except for mint, all species showed a significant reduction in fresh biomass (40.1% to 48.8%) under the high shading of UP compared to T. However, no biomass reductions were observed in BP. Notably, essential oil yields were higher in both UP and BP plots (0.60–2.63%) compared to the T plot (0.51–1.90%). These findings demonstrate that dynamic AV systems can enhance water use efficiency and essential oil yield, offering promising opportunities for sustainable, high-quality medicinal crop production in arid and semi-arid regions.

This study investigated the comparative cultivation of six medicinal plant species (sage, oregano, rosemary, lavender, thyme, and mint) in a dynamic agrivoltaic (AV) system and a neighboring control plot exposed to full sun (referred to as “T”). Specifically, within the dynamic AV system, two distinct plot areas on the ground were identified due to the rotation of the panels: one consistently in the shade of the solar panels (UP), and another alternately in shade and sunlight (BP). The study involved the measurement of solar radiation, air temperature, and infrared leaf temperature during crop growth in these designated plots. Additionally, a weed survey was conducted at harvest time. The findings revealed that solar radiation, air temperature, infrared leaf temperature, and weed coverage were notably lower in the UP plot compared to both the BP and T plots. Furthermore, the yield of essential oils in sage, thyme, mint, and rosemary plants was higher in both the UP and BP plots than in the T plot. Hence, these factors seemingly positively impacted the performance of specific medicinal crops within the dynamic AV system. This information holds significance for producers and processors concerning crop quality.

To identify the key drivers of consumption, we analyzed consumer preferences and estimated the willingness to pay for craft beer compared with industrial products in Italy. For this purpose, we conducted an ad hoc survey of 469 craft beer drinkers and set up an econometric strategy using a machine learning estimation technique. The main results show that young consumers, the ability to perceive and evaluate quality, and the frequency of consumption are the main profile elements that, more than others, orient preferences. In the meantime, sustaining local beer producers, sharing good time with friends, and the perception of beer as healthier compared with other drinks are also important. The most preferable product attributes are can packaging and the search for unique taste.

In recent years, the production of renewable energy represents one of the main challenges of modern and future society. The new cultivation method called Agrivoltaic (hereafter AV), combines and associates agricultural production and renewable energy (photovoltaic) production in a collaborative synergy from which both benefit. In this study, the dry matter and essential oils yield of six medicinal species (Salvia officinalis L., Origanum vulgare L., Rosmarinus officinalis L., Lavendula angustifolia L., Thymus citriodorus L. and Mentha spicata L.) grown underneath a dynamic AV system in comparison to those in full sun (T), were evaluated. In particular, below the dynamic AV system, due to the rotation of the panels, two plot areas on the ground were distinguished: one always covered by the panels (UP), and another one covered alternatively (BP). During the aromatic crop cycles, the solar radiation, infrared leaf temperature and air temperatures in UP, BP and T plot, were measured. In addition, at harvest time, weed survey was carried out. The results showed that, in general, the solar radiation and infrared leaf temperature were lower in UP plot than in either the BP and T plots, while the air temperatures were similar in all compared plots. Also the weed cover percentage was lower in the UP plot than other ones. The essential oils yield in the sage, thyme, mint and rosemary plants were higher in both UP and BP plots than for T plot. Thus, shading and/or less weed infestation may have been the main factors favorably influencing the performance of medicinal crops under a dynamic AV system.

The European Union promotes social innovation (SI) initiatives for the support of marginalised rural areas through rural and sustainable development policies. These are based on the engagement of local actors and the strengthening of their mutual relationships to boost the fostering of professional collaborations. In this context, the Horizon 2020 Social Innovation in Marginalised Areas (SIMRA) project elaborated a conceptual framework for characterising the engagement in an SI initiative. Accordingly, this paper aims to demonstrate that engagement relies on specific key drivers, such as the existence of unmet social needs and the role of agency. To this end, a two-step Heckman model was applied to an SI initiative case study called Vàzapp’, a rural hub (agency) located in Southern Italy. It promotes relationships among farmers to valorise the marginalised rural areas. The results appear consistent with the theoretical framework, demonstrating that the farmers’ engagement was motivated by the existence of the aforementioned determinants. The implications are relevant for policymakers, consultants, and social innovators who may incorporate these elements in designing specific SI projects in different contexts.