Search Results (1,990)

Ammonia (NH₃) is a major anthropogenic pollutant originating from agricultural activity, particularly livestock operations. NH₃ emissions from livestock slurry storage pose risks to environmental quality and human health. Reducing NH₃ emissions aligns with several United Nations Sustainable Development Goals (SDGs), including SDG 3, SDG 12, SDG 14, and SDG 15. This study evaluates the performance of the commercially available SOP^® LAGOON additive under real-scale farm conditions for mitigating NH₃ emissions. Two adjacent slurry storage tanks of a dairy farm in Northern Italy were monitored from 27 May to 7 September: one treated with SOP^® LAGOON and one left untreated (serving as a control). In the first month, the treated tank showed a 77% reduction in NH₃ emissions. Emissions from the treated tank remained consistently lower than those from the control throughout the monitoring period, reaching an 87% reduction relative to the baseline levels by the end of the period. The results suggest that SOP^® LAGOON is an effective and scalable strategy for reducing NH₃ emissions from liquid manure storage, with practical implications for farmers and policy makers in regard to designing sustainable manure management practices. Full article

In the Mediterranean Basin, increasing water scarcity, exacerbated by climate change, necessitates the use of alternative water resources in agriculture. This study analyses farmers’ propensity to use reclaimed wastewater for irrigation in Basilicata, a region in southern Italy. Through a survey of 167 farms and the application of a logit model, this work quantifies the role of the main factors influencing farmers’ propensity to use this new resource. The results identify several key drivers and barriers. A higher level of education and participation in Producers’ Organisations make wastewater use approximately ten times (odds ratio equal to 9.84) and five times (odds ratio equal 4.96) more likely, respectively. Furthermore, an adequate knowledge of the relevant legislation nearly quadruples (odds ratio equal to 3.57) the likelihood of adoption. In contrast, concerns related to worker health and groundwater pollution are strong deterrents, reducing the odds of adoption by 90% and 87%, respectively. Concerns about product quality also significantly decrease the propensity to adopt (odds ratio equal to 0.25). The findings underscore the need for integrated interventions that enhance farmers’ awareness and knowledge of the characteristics and impacts of new practices, thereby fostering the innovative and sustainable management of water resources. Full article

Fresh lettuce is a key ingredient in ready-to-eat salads that are considered a valued dietary choice. Lettuce quality is strongly influenced by soil management practices, particularly in sustainable farming systems. This study evaluated the effects of three different soil disinfestation methods (flame weeding, microwave irradiation, and biological control (Trichoderma spp. inoculation) on the quality traits of Lactuca sativa L. var. Margò grown in a protected environment in southern Italy in a winter growth cycle. Minerals, nitrate content, colorimetric parameters, carotenoids, polyphenols, and antioxidant activity were assessed. The treatment with Trichoderma spp. significantly reduced nitrate accumulation (−21.3%) and increased some phenolic compounds and P (22%), while microwave irradiation treatment boosted total phenolic content by 44%. Flame weeding, although partially effective, was associated with a slight increase in carotenoids. Overall, microwave irradiation and Trichoderma spp. treatments emerged as the most promising options for balancing food safety and nutritional value. These findings offer valuable insights about the effect of soil disinfestation strategies on leafy vegetable quality. Full article

Yield prediction in longline aquaculture is essential for evaluating environmental impacts, facilitating risk assessment, and promoting sustainable management in fisheries. However, since cultured organisms in longline aquaculture are submerged and cannot be directly observed, existing yield prediction approaches are mostly based on indirect environmental proxies, which often lead to unsatisfactory accuracy. The Shadow Geometry Inversion for Aquaculture (SGIA) method enables direct and accurate yield estimation in longline aquaculture by utilizing the submergence state of buoys to infer load, which is determined by the weight of the cultured organisms and estimated by shadow lengths combined with solar altitude angles and buoy physical parameters in high-resolution unmanned aerial vehicle (UAV) imagery. Experiments have been conducted in a water body located in Shanghai and Fuding to validate the effectiveness of the SGIA method. The best results were achieved under solar altitudes of 10–25° and calm water conditions. Under these conditions, the SGIA-predicted yields closely matched the measured loads in the Shanghai controlled experiment (R² = 0.985, MAPE = 9.19%). In the Fuding field application, the model effectively captured spatial variations in buoy loads across the farming area, demonstrating its practicality and scalability for large-scale yield mapping in real aquaculture environments. Full article

Smart Agriculture (SA) combines cutting edge technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and real-time sensing systems with traditional farming practices to enhance productivity, optimize resource use, and support environmental sustainability. A key aspect of SA is the continuous monitoring of field conditions, particularly Soil Moisture (SM), which plays a crucial role in crop growth and water management. Accurate forecasting of SM allows farmers to make timely irrigation decisions, improve field management, and conserve water. To support this, recent studies have increasingly adopted soil sensors, local weather data, and AI-based data-driven models for SM forecasting. In the literature, most existing review articles lack a structured framework and often overlook recent advancements, including privacy-preserving Federated Learning (FL), Transfer Learning (TL), and the integration of Large Language Models (LLMs). To address this gap, this paper proposes a novel taxonomy for SM forecasting and presents a comprehensive review of existing approaches, including traditional machine learning, deep learning, and hybrid models. Using the PRISMA methodology, we reviewed over 189 papers and selected 68 peer-reviewed studies published between 2017 and 2025. These studies are analyzed based on sensor types, input features, AI techniques, data durations, and evaluation metrics. Six guiding research questions were developed to shape the review and inform the taxonomy. Finally, this work identifies promising research directions, such as the application of TinyML for edge deployment, explainable AI for improved transparency, and privacy-aware model training. This review aims to provide researchers and practitioners with valuable insights for building accurate, scalable, and trustworthy SM forecasting systems to advance SA. Full article

Bark and ambrosia beetles (Coleoptera: Curculionidae: Scolytinae) are major pests of agricultural and forest systems and include some species which attack hazelnut (Corylus avellana L.) as well. Although hazelnut cultivation is increasingly threatened by insect and mite pests, yet little is known about how management practices can reduce infestations. This study investigated bark and ambrosia beetles in hazelnut orchards from two highly productive areas: Viterbo district (central Italy) and Samegrelo-Zemo Svaneti region (Republic of Georgia). Three phytosanitary management strategies were compared across 2023–2024: Integrated Pest Management, organic farming, and renaturalised orchards. Monitoring also evaluated three ethanol-baited trap designs: three designs in Italy (handmade red funnel [BR] and bottle [TT] and commercial multi-funnel [MF]) and only TT in Georgia. Anisandrus dispar, Hypothenemus eruditus, Xyleborinus saxesenii, and Xylosandrus germanus were detected in both countries, while Xyleborus monographus occurred only in Italy. Xyleborinus saxesenii was the dominant species in both regions. Beetle populations differed among management strategies, being lowest in organic orchards and highest in integrated and renaturalised systems. Trap performance also varied, with BR consistently outperforming commercial MF. These findings highlight the influence of management and monitoring tools on scolytine populations, offering practical insights for sustainable hazelnut production. Full article

Agriculture has been widely practiced for food production, yet food insecurity remains a critical issue, especially in Africa. Due to the significant role played by small-scale farmers, urban agriculture has been acknowledged as a viable strategy for reducing food insecurity in urban areas of Sub-Saharan Africa. This review analyzes urban household food insecurity factors through a systematic literature approach, retrieving data from various online databases. These databases include ScienceDirect, Wiley Online Library, Web of Science, UNIZULU online library, and PubAg. The search process involved the use of keywords to obtain relevant information along with the application of filters such as geographic location, publication period, language, article type, and accessibility. A total of 37 articles was included in this review after the application of the review eligibility criteria. This was achieved following PRISMA guidelines. Findings reveal a growing trend in the publication of articles on urban farming and an increasing acknowledgment of its importance by high-impact journals. It also shows various factors that determine household food insecurity, categorized as socioeconomic (11), institutional (5), and environmental factors (2). This led to the recommendation that urban government structures including policy makers and stakeholders should support food production and ensure an efficient urban food supply system. Full article

The study investigates how agriculture can serve as a driver of sustainable tourism and local development within the Vesuvius National Park under the European Charter for Sustainable Tourism (ECST) framework. Based on 14 semi-structured interviews with farmers, tourism operators, cultural institutions, and producer consortia, the findings reveal that agriculture plays a central role not only as a productive sector but also as a custodian of biodiversity, identity, and territorial resilience. Stakeholders emphasised the economic and symbolic value of traditional crops, highlighting how farm-based experiences, product certifications, and civil-society networks strengthen community cohesion and diversify visitor flows. Nevertheless, tourism remains predominantly concentrated in the vicinity of the volcano’s crater, thereby excluding the park’s other trails, limiting the positive impacts on rural and peripheral areas. Practical implications point to the need for improved mobility infrastructure, cross-sector coordination, and targeted incentives to link agrotourism circuits with regional branding and EU sustainability policies. Overall, the study shows that integrating agriculture into tourism governance can foster more inclusive, resilient, and territorially embedded forms of rural development in protected areas. Full article

Efficient scheduling of agricultural machinery is critical for optimizing resource utilization and reducing operational costs in modern farming operations. This study proposes an Adaptive Genetic Algorithm integrated with Ant Colony Optimization (AGA-ACO) to solve the multi-task machinery scheduling problem. The problem is formulated as a Vehicle Routing Problem with Time Windows (VRPTW), considering time constraints, machinery heterogeneity, and task dependencies. The AGA-ACO algorithm employs a two-phase optimization strategy: genetic algorithms for global exploration and ant colony optimization for local refinement through pheromone-guided search. Experimental evaluation using real-world agricultural data from Hangzhou demonstrates that AGA-ACO achieves cost reductions of 5.92–10.87% compared to genetic algorithms, 5.47–7.75% compared to ant colony optimization, and 6.23–9.51% compared to particle swarm optimization, while converging with fewer iterations. The algorithm maintains stable convergence and high robustness across different farmland scales, reducing computational time while preserving solution quality. A scheduling management system integrating IoT sensors, MQTT protocols, and GIS technologies validates the practical applicability of the proposed approach. This research provides a replicable framework for agricultural machinery optimization, contributing to the advancement of sustainable and precision agriculture. Full article

The European Union (EU)’s commitment to promoting social, economic, and environmental sustainability in the agri-food system prompts this study to recognize young farmers as essential stakeholders in maintaining agricultural productivity and a steady supply of healthy food. It addresses their under-representation in practice and research, as Romania transitions to a greener agricultural model, particularly regarding fertilizer use. Data were collected in 2025 targeting Romanian farmers aged up to 45 years. The research mapped fertilizer usage practices and perceptions, awareness of environmental measures, and access to EU subsidies, utilizing descriptive and inferential statistics. More precisely, this aims at identifying those behavioral determinants influencing fertilizer reduction among young Romanian farmers, with a focus on sustainability, food safety, and security implications. The findings reveal that while young Romanian farmers show potential for adopting sustainable practices, their chemical fertilizer usage is complex, as 21% reported reductions, 49% maintained, and 30% increased their use of chemical fertilizers. Despite their awareness of environmental impacts, their practices are often misaligned with the sustainability objectives of the EU and the Farm to Fork Strategy, highlighting the intersection of education, policy support, and broader agricultural realities necessary to achieve a more resilient and sustainable food system in Romania and beyond. The results are intended to inform targeted policy interventions and capacity-building programs that can better align young farmers’ actions with EU sustainability goals. Full article

This article examines how a Daoist sacred mountain community in east China historically intertwined its religious life with the rhythms of the natural world, thereby challenging the conventional divide between “nature” and “culture.” Centering on the sacred mountain Maoshan—renowned for its cult of transcendents and its symbolic association with migrating cranes—the study shows how annual pilgrimage cycles were deliberately synchronized with avian migration patterns. Drawing on classical texts, religious scriptures, gazetteers, steles and imperial edicts, we reveal that the timing of rituals and imperial edicts at Maoshan aligned with the cranes’ arrival and departure, regulating human activities like logging, hunting and farming in this holy landscape. Such evidence demonstrates that Chinese religious practice not only reflected cosmological beliefs but also actively modeled human lifeworlds on non-human cycles, blurring the boundary between the social and the ecological. Over two millennia, Maoshan’s integrated ritual–ecological system helped conserve biodiversity (by protecting habitat during key seasons) and reinforced a worldview in which humans and auspicious animals were partners in a shared cosmic order. As environmental conditions shifted in later eras—through deforestation, climate change, and social upheaval—this nature-attuned tradition was forced to adapt, illuminating both the potency and precarity of a cosmology grounded in predictable natural rhythms. By highlighting a case where religious institutions and animal agency co-produced a sustainable temporal regime, the study contributes to broader anthropological debates on relational ontology in East Asia. It suggests that classical Daoist cosmology, often classified as “analogist,” in fact operated as a form of relational monism: an enduring conviction that human society and the living environment are co-constitutive and continuous. Through the lens of Maoshan’s history, we reconsider how premodern models of “unity of Heaven and humanity” were pragmatically applied, and we explore their implications for reimagining nature–culture relationships amid the uncertainties of the Anthropocene. Full article

In the context of increasing economic pressures on global food systems, employing a comprehensive analytical method is crucial for ensuring both efficiency and sustainability in the agriculture sector. Aiming to evaluate cost structures, compare ecological and conventional production systems and identify cost-intensive “hotspots” to support more-efficient practices, the study applies the Life Cycle Cost Analysis (LCCA) methodology to assess the economic performance of the sweet potato (Ipomoea batatas) crop. The primary data were collected from the accounting records and operational documents of an eco-certified vegetable farm in southern Romania. The findings revealed the main cost contributors in the capital cost category—seedling production (5.68%) and selling production (1.39% of the total lifespan cost)—and in the operational cost category—field cultivation (40.81%) and post-harvest costs (32.10% of the total LCC)—which are major cost drivers, highlighting the need for targeted adaptations to enhance cost efficiency and overall sustainability. Full article

Agricultural landscapes often exhibit low tree cover and homogeneity, leading to various environmental challenges. Traditional farmsteads, as scattered built environments in agricultural landscapes with diverse woody vegetation, enhance ecological heterogeneity and provide significant ecosystem services (ES), yet their dendroflora remains understudied. This study assesses woody vegetation on ten traditional farmsteads in Vojvodina, Serbia as case studies, through field surveys of woody species, biodiversity indices, GIS-based spatial analyses, and classification of species according to functional and ecosystem-related traits, offering insights into ecological patterns within these landscapes. The analysis examines species composition, abundance, origin, structural traits (tree cover, density, age, height, and crown width), and functional roles in ES provision. The vegetation shows potential to contribute to ES, especially through melliferous species (about 80%), food sources (about 82% for humans; 91% for birds, 91% for small mammals, 87% for domestic animals), and windbreak functions (about 76%). Phytoncide-producing species (about 62%) suggest a potential provision of air quality benefits, while entomophilous species (about 83%) indicate a potential provision of pollination support. Traditional farmsteads support biodiversity conservation, habitat provision, and preservation of genetic resources, particularly through old and rare species. Integrating these systems into agroforestry and biodiversity-friendly practices may increase ecological resilience and balance in intensive farming areas. Recognising traditional farmsteads as biodiversity reservoirs is vital for sustainable land use, and for conserving cultural and natural heritage within agricultural landscapes. Full article

Livestock farm biosecurity is crucial for animal health and economic sustainability, however uneven adoption/implementation across diverse livestock species and production systems persists. To improve uptake of biosecurity, it is necessary to identify critical economic behavioural, and systematic barriers, and to outline practical drivers. Perceived high costs, labour/time burdens, and uncertain benefits can suppress private investment, while poorly designed indemnities can create moral hazard. Conversely, targeted subsidies, risk-based insurance, and market standards (e.g., certification and procurement) can incentivise implementation. Knowledge and trust gaps, especially in smallholder and backyard settings, further limit compliance. Participatory, and context-specific training led by field veterinarians consistently outperforms top–down messaging, with effective element including: simple, low-cost “easy wins”, tiered checklists, and decision-support tools to help embed routines and demonstrate the value of biosecurity. Integrating clear cost–benefit evidence, incentive-based tools, and co-designed training can transform biosecurity from a perceived practical and cost burden into a resilient, profitable practice that delivers public-good benefits for animal health, trade, and One Health across Europe and beyond. Full article

The cardinal Physiology of Gut Health in monogastric animals such as swine and poultry is vital. It is critical for digestive efficiency, immune status, and production levels. This system is related not only to the digestion and absorption of nutrients from feed ingredients contributing to growth and feed utilization efficiency but also to having a strategic microbiota that supports immunity and pathogen resistance, as well as metabolic support. Gut disease, for example, bacterial, viral, or parasitic infection, diet, or stress, can reduce nutrient digestion and absorption. They can also suppress the immune system and render patients more prone to disease. These are efficiency degradations and increase veterinary and husbandry costs. In addition, nutrient absorption because of deteriorated gut health can affect the environment in different ways: removal of nutrients through leaching and the release of gases (including CH₄ and NH₄). These pressures have led to a focus on the gut in animal research to improve the welfare of animals and ensure sustainable practices in animal production. Recent studies have included the use of probiotics, prebiotics, and other feed additives to enhance the positive effects of the gut microbiota. These are also intervention points to increase nutrient absorption and animal well-being, in turn sustainability. Such approaches are expected to promote a stable microbial community with less dependence on the use of antibiotics, less waste generation, and less environmental impact from animal farming. This review provides a critical evaluation of the current literature on gut health in monogastric livestock, with pigs and poultry as the principal focus. We also considered the impact of gut health on production efficiency and Environmental sustainability. Current progress in nutritional modulation of gut health for increased productivity, enhanced animal welfare, and better profitability are presented. Gut-related biological mechanisms are linked to practical nutritional strategies, and subsequently to animal welfare, production efficiency, and environmental effects, offering a coherent concept for moving from mechanism to system-level sustainability. Full article