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Found 6374 publications
Utilizing Different Crop Rotation Systems for Agricultural and Environmental Sustainability: A Review
Publication Name: Agronomy
Publication Date: 2025-08-01
Volume: 15
Issue: 8
Page Range: Unknown
Description:
Monoculture involves growing the same crop on the same land over at least two crop cycles. Continuous monoculture can increase the population density of pests and pathogens over time, thereby reducing agricultural yields and increasing dependence on chemical inputs. Crop rotation is an agricultural practice that involves systematically and sequentially planting different crops in the same field over multiple growing seasons. This review explores the advantages of crop rotation and its contribution to promoting sustainable farming practices, such as legume integration and cover cropping. It is based on a thematic literature review of peer-reviewed studies published between 1984 and 2025. We found that crop rotation can significantly improve soil structure and organic matter content and enhance nutrient cycling. Furthermore, soil organic carbon increased by up to 18% when legumes were included in rotations compared to monoculture systems in Europe, while also mitigating greenhouse gas emissions, enhancing carbon sequestration, and decreasing nutrient leaching and pesticide runoff. Farmers can adopt several strategies to optimise crop rotation benefits, such as diversification of various crops, legume integration, cultivation of cover crops, and rotational grazing. These practices ensure agricultural sustainability and food security and support climate resilience.
Open Access: Yes
Estimating the air quality standard exceedance areas and the spatial representativeness of urban air quality stations applying microscale modelling
L. Tarrason
S. Janssen
J. L. Pérez-Camanyo
László Környei
J. L. Santiago
V. Rodrigues
G. Sousa Santos
P. Thunis
E. Rivas
C. Cuvelier
I. Sakellaris
M. G. Villani
S. Hamilton
N. Masey
F. Martín
N. Reiminger
X. Jurado
D. Barbero
J. L. Pérez-Camanyo
R. Jackson
J. Sousa
J. Bartzis
R. San José
G. Tinarelli
J. Stocker
Zoltán Horváth
F. Russo
Publication Name: Science of the Total Environment
Publication Date: 2025-08-01
Volume: 988
Issue: Unknown
Page Range: Unknown
Description:
This study builds upon the findings of a FAIRMODE intercomparison exercise conducted in a district of Antwerp, Belgium, where a comprehensive dataset of air pollutant measurements (air quality stations and passive samplers) was available. Long-term average NO2 concentrations at very high spatial resolution were estimated by several dispersion modelling systems (Martín et al., 2024) to investigate the ability of these to capture the detailed spatial distribution of NO2 concentrations at the microscale in urban environments. In this follow-up research, we extend the analysis by evaluating the capability of these modelling systems to predict the NO2 annual limit value exceedance areas (LVEAs) and spatial representativeness areas (SRAs) for NO₂ at two reference air quality stations. The different modelling approaches used are based on CFD, Lagrangian, Gaussian, and AI-driven models. The different modelling approaches are generally good at predicting the LVEA and SRAs of urban air quality stations, although a small SRA (corresponding to low concentration tolerances or the traffic station) is more difficult to predict correctly. However, there are notable differences in performance among the modelling systems. Those based on CFD models seem to provide more consistent results predicting LVEAs and SRAs. Then, lower accuracy is obtained with AI-based systems, Lagrangian models, and Gaussian models with street canyon parameterizations. The Gaussian models with street-canyon parametrizations show significantly better results than models using simply a Gaussian dispersion parametrization. Furthermore, little differences are observed in most of the statistical indicators corresponding to the LVEA and SRA estimates obtained from the unsteady full month CFD simulations compared to those from the scenario-based CFD simulation methodologies, but there are some noticeable differences in the LVEA or SRA (traffic station, 10 % tolerance) sizes. The number of scenarios does not seem to be relevant to the results. Different bias correction methodologies are explored.
Open Access: Yes
Running-Induced Fatigue Exacerbates Anteromedial ACL Bundle Stress in Females with Genu Valgum: A Biomechanical Comparison with Healthy Controls
Publication Name: Sensors
Publication Date: 2025-08-01
Volume: 25
Issue: 15
Page Range: Unknown
Description:
Genu valgum (GV) is a common lower limb deformity that may increase the risk of anterior cruciate ligament (ACL) injury. This study used OpenSim musculoskeletal modeling and kinematic analysis to investigate the mechanical responses of the ACL under fatigue in females with GV. Eight females with GV and eight healthy controls completed a running-induced fatigue protocol. Lower limb kinematic and kinetic data were collected and used to simulate stress and strain in the anteromedial ACL (A–ACL) and posterolateral ACL (P–ACL) bundles, as well as peak joint angles and knee joint stiffness. The results showed a significant interaction effect between group and fatigue condition on A–ACL stress. In the GV group, A–ACL stress was significantly higher than in the healthy group both before and after fatigue (p < 0.001) and further increased following fatigue (p < 0.001). In the pre-fatigued state, A–ACL strain was significantly higher during the late stance phase in the GV group (p = 0.036), while P–ACL strain significantly decreased post-fatigue (p = 0.005). Additionally, post-fatigue peak hip extension and knee flexion angles, as well as pre-fatigue knee abduction angles, showed significant differences between groups. Fatigue also led to substantial changes in knee flexion, adduction, abduction, and hip/knee external rotation angles within the GV group. Notably, knee joint stiffness in this group was significantly lower than in controls and decreased further post-fatigue. These findings suggest that the structural characteristics of GV, combined with exercise-induced fatigue, exacerbate A–ACL loading and compromise knee joint stability, indicating a higher risk of ACL injury in fatigued females with GV.
Open Access: Yes
DOI: 10.3390/s25154814
Aerial Image-Based Crop Row Detection and Weed Pressure Mapping Method
Publication Name: Agronomy
Publication Date: 2025-08-01
Volume: 15
Issue: 8
Page Range: Unknown
Description:
Accurate crop row detection is crucial for determining weed pressure (weeds item per square meter). However, this task is complicated by the similarity between crops and weeds, the presence of missing plants within rows, and the varying growth stages of both. Our hypothesis was that in drone imagery captured at altitudes of 20–30 m—where individual plant details are not discernible—weed presence among crops can be statistically detected, allowing for the generation of a weed distribution map. This study proposes a computer vision detection method using images captured by unmanned aerial vehicles (UAVs) consisting of six main phases. The method was tested on 208 images. The algorithm performs well under normal conditions; however, when the weed density is too high, it fails to detect the row direction properly and begins processing misleading data. To investigate these cases, 120 artificial datasets were created with varying parameters, and the scenarios were analyzed. It was found that a rate variable—in-row concentration ratio (IRCR)—can be used to determine whether the result is valid (usable) or invalid (to be discarded). The F1 score is a metric combining precision and recall using a harmonic mean, where “1” indicates that precision and recall are equally weighted, i.e., β = 1 in the general Fβ formula. In the case of moderate weed infestation, where 678 crop plants and 600 weeds were present, the algorithm achieved an F1 score of 86.32% in plant classification, even with a 4% row disturbance level. Furthermore, IRCR also indicates the level of weed pressure in the area. The correlation between the ground truth weed-to-crop ratio and the weed/crop classification rate produced by the algorithm is 98–99%. As a result, the algorithm is capable of filtering out heavily infested areas that require full weed control and capable of generating weed density maps on other cases to support precision weed management.
Open Access: Yes
Genetic Factors of Elite Wrestling Status: A Multi-Ethnic Comparative Study
Koichi Nakazato
Ildus I. Ahmetov
Seyrani Koncagul
Hirofumi Zempo
Mehmet A. Ergun
Andrey K. Larin
Naoki Kikuchi
Nikolay A. Kulemin
Hasan H. Kazan
Ryutaro Matsumoto
Ekaterina A. Semenova
Edward V. Generozov
Celal Bulgay
Mika Saito
Hiroki Homma
Ayumu Kozuma
Minoru Deguchi
Anıl Kasakolu
Shingo Matsumoto
Türker Bıyıklı
Giyasettin Baydaş
Takanobu Okamoto
Attila Szabo
Publication Name: Genes
Publication Date: 2025-08-01
Volume: 16
Issue: 8
Page Range: Unknown
Description:
Background: In recent years, comprehensive analyses using a genome-wide association study (GWAS) have been conducted to identify genetic factors related to athletic performance. In this study, we investigated the association between genetic variants and elite wrestling status across multiple ethnic groups using a genome-wide genotyping approach. Methods: This study included 168 elite wrestlers (64 Japanese, 67 Turkish, and 36 Russian), all of whom had competed in international tournaments, including the Olympic Games. Control groups consisted of 306 Japanese, 137 Turkish, and 173 Russian individuals without elite athletic backgrounds. We performed a GWAS comparing allele frequencies of single-nucleotide polymorphisms (SNPs) between elite wrestlers and controls in each ethnic cohort. Cross-population analysis comprised (1) identifying SNPs with nominal significance (p < 0.05) in all three groups, then (2) meta-analyzing overlapped SNPs to assess effect consistency and combined significance. Finally, we investigated whether the most significant SNPs were associated with gene expression in skeletal muscle in 23 physically active men. Results: The GWAS identified 328,388 (Japanese), 23,932 (Turkish), and 30,385 (Russian) SNPs reaching nominal significance. Meta-analysis revealed that the ATP2A3 rs6502758 and UNC5C rs265061 polymorphisms were associated (p < 0.0001) with elite wrestling status across all three populations. Both variants are located in intronic regions and influence the expression of their respective genes in skeletal muscle. Conclusions: This is the first study to investigate gene polymorphisms associated with elite wrestling status in a multi-ethnic cohort. ATP2A3 rs6502758 and UNC5C rs265061 polymorphisms may represent important genetic factors associated with achieving an elite status in wrestling, irrespective of ethnicity.
Open Access: Yes
Localization robustness improvement for an autonomous race car using multiple extended Kalman filters
Publication Name: Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Publication Date: 2025-08-01
Volume: 239
Issue: 9
Page Range: 3771-3783
Description:
In this paper, we introduce a vehicle localization method designed for the SZEnergy race car, which competes in the Shell Eco-marathon. The proposed method comprises four different extended Kalman filter-based localization algorithms and a selection algorithm that determines the most suitable one based on vehicle speed, GNSS availability, and signal quality. The low-speed Kalman filters are based on a kinematic vehicle model while the high-speed variants are based on a dynamic vehicle model. Several measurements were performed during test maneuvers to evaluate the performance of the filters. The proposed method succesfully handles sensor miscalibration and GNSS outages.
Open Access: Yes
The role of industry 4.0 in global food security: A promising pathway to ending hunger
Publication Name: Smart Agricultural Technology
Publication Date: 2025-08-01
Volume: 11
Issue: Unknown
Page Range: Unknown
Description:
Ensuring global food security is a critical challenge that necessitates innovative solutions and advanced technologies. This study explores how the fourth industrial revolution (Industry 4.0) technologies can transform global food security by enhancing availability, access, utilization, stability, agency, and sustainability. Technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), big data, blockchain, and robotics are detailed, highlighting their current applications in the food sector. Emphasizing Sustainable Development Goal 2: Zero Hunger, the study examines how precision agriculture, smart farming, automated machinery, real-time monitoring, data analytics, and digitalization can improve food production, distribution, and quality, ultimately fostering food security. This comprehensive analysis offers strategic insights and policy recommendations for stakeholders to leverage these transformative technologies, ensuring a sustainable and secure food future for all.
Open Access: Yes
Five-day ski camp could enhance postural stability in young adults: A quasi-experimental study
Publication Name: Physiological Reports
Publication Date: 2025-08-01
Volume: 13
Issue: 16
Page Range: Unknown
Description:
This study investigated whether a 5-day ski camp could improve postural stability in young adults. It was hypothesized that skiing would reduce postural sway. In this quasi-experimental design, 43 undergraduate students who participated in a 5-day ski camp (approximately 20 h of skiing) were compared to 35 peers who did not attend. Postural stability was assessed using the modified Clinical Test of Sensory Integration and Balance protocol of the Balance Tracking System, which evaluates sway under four standing conditions: eyes open or closed, and on stable or unstable surfaces. Quade nonparametric ANCOVAs were used to compare percentage change scores between groups, controlling for age. No significant group differences emerged for standard, proprioceptive, or vestibular postural stability (p > 0.05). However, a statistically significant group effect was found for visual postural stability (p = 0.006), with improvement observed only in females (p = 0.003), not in males (p = 0.961). A 5-day ski camp significantly enhanced visual postural stability in females but did not affect males or other postural domains. These findings suggest a potential sex-specific adaptation to skiing and highlight the need for further research into the mechanisms underlying balance improvement.
Open Access: Yes
DOI: 10.14814/phy2.70501
A Risk-Informed BIM-LCSA Framework for Lifecycle Sustainability Optimization of Bridge Infrastructure
Publication Name: Buildings
Publication Date: 2025-08-01
Volume: 15
Issue: 16
Page Range: Unknown
Description:
The sustainability of bridge infrastructure is becoming increasingly important due to rising environmental, economic, and social demands. However, most current assessment models remain fragmented, often overlooking the social pillar, underutilizing risk integration across the lifecycle, and failing to fully leverage digital tools such as Building Information Modeling (BIM) and Life Cycle Sustainability Assessment (LCSA), resulting in incomplete sustainability evaluations. This study addresses these limitations by introducing a practical and adaptable model that integrates BIM, LCSA, and expert-driven risk prioritization. Five Hungarian bridge projects were modeled using Tekla Structures and analyzed in OpenLCA to quantify environmental, economic, and social performance. A custom Sustainability Level Change (SLC) algorithm was developed to compare baseline scenarios (equal weighting) with risk-informed alternatives, simulating the impact of targeted improvements. The results demonstrated that prioritizing high-risk sustainability indicators leads to measurable lifecycle gains, typically achieving SLC improvements between +2% and +6%. In critical cases, targeted enhancement scenarios, applying 5% and 10% improvements to top-ranked, high-risk indicators, pushed gains up to +12%. Even underperforming bridges exhibited performance enhancements when targeted actions were applied. The proposed framework is robust, standards-aligned, and methodologically adaptable to various bridge types and lifecycle phases through its data-driven architecture. It empowers infrastructure stakeholders to make more informed, risk-aware, and data-driven sustainability decisions, advancing best practices in bridge planning and evaluation. Compared to earlier tools that overlook risk dynamics and offer limited lifecycle coverage, this framework provides a more comprehensive, actionable, and multi-dimensional approach.
Open Access: Yes
