Search Results (1,825)

Agricultural threshing mixtures are moist, heterogeneous, and dynamically disturbed, conditions that reduce the selectivity of cleaning systems based solely on size, density, and aerodynamic response. Electrostatic separation introduces an additional property dimension, but its application to raw paddy rice remains constrained by moisture-sensitive charging, irregular particle motion, wall deposition, and variable feed conditions. This critical review synthesizes rice-specific studies on dielectric and material-state sensing with evidence concerning particle charging, electro-aerodynamic transport, multiphysics modelling, and process control. The available literature shows that dielectric measurements can characterize moisture- and density-dependent material states, but they do not directly quantify charge retention or electrostatic separability. Rice-specific evidence remains concentrated in dielectric characterization and machinery operating conditions, whereas electrostatic processing studies mainly concern processed rice-derived materials or analogous particle systems. Direct evidence from raw paddy threshing mixtures under continuous and field-relevant operating conditions remains limited. Based on the evidence, a four-zone framework is proposed comprising feed dispersion, charge acquisition, electro-aerodynamic deflection, and outlet collection. The framework identifies the measurements, model parameters, and validation steps required to relate dielectric state, charge decay, particle trajectories, and control actions, thereby providing a research basis for the development and rice-specific validation of electrostatic cleaning systems. Full article

Biodegradable alginate films containing silver nanoparticles (AgNPs) are being increasingly investigated as active agricultural materials (e.g., antimicrobial mulches) and active food packaging. However, since these materials ultimately degrade in soil after use, assessing their environmental compatibility and potential phytotoxicity upon release is crucial. The aim of this study was to synthesize films containing AgNPs in sodium alginate using xylose as a reducing agent and to determine their effect on culturable rhizosphere microorganisms and selected biochemical parameters in young arugula (Eruca vesicaria L. subsp. sativa) plants. Alginate films containing three nominal AgNP loadings (50, 100, and 150 mg L⁻¹) and a control film without AgNPs were synthesized. The films were cut into square pieces (4 cm²) and placed in 0.076 L multipots filled with peat substrate, into which arugula seeds were sown. During the experiment, the abundance of culturable rhizosphere bacteria and fungi was determined, and the young arugula plants were subjected to biochemical analyses. The results showed that the AgNP-containing films did not significantly affect the abundance of bacteria and fungi in the rhizosphere under the conditions tested. The tested films also did not markedly alter the measured parameters in the tissues of young arugula plants, including ascorbic acid, photosynthetic pigments, sugars, dietary protein, and glutathione. However, they reduced phenolic content, altered antioxidant activity, and led to detectable silver accumulation in plant tissues, especially at the highest nominal AgNP loading (150 mg L⁻¹). These findings indicate limited but selective biochemical effects during the early growth stage of arugula rather than a complete absence of plant response. Full article

Leaf-level vapor pressure deficit ($VP{D}_{\mathrm{leaf}}$) depends on the temperature of the leaf surface as well as the temperature and humidity of the surrounding air. Therefore, instruments that estimate $VP{D}_{\mathrm{leaf}}$ from a fixed leaf–air temperature offset may introduce condition-dependent errors. This paper presents the development, uncertainty analysis, and validation of a low-cost, single-housing, portable sensor platform that directly measures air temperature ($T_{\mathrm{air}}$), relative humidity ($RH$), and leaf surface temperature ($T_{\mathrm{leaf}}$) via an SHT35 and an MLX90614 infrared thermometer, and computes $VP{D}_{\mathrm{leaf}}$ on-board in real time using an ATmega328-based microcontroller. The platform was validated against a Testo 610 thermo-hygrometer and a FLIR E4 thermal camera on two lettuce (Lactuca sativa L.) cultivars grown at 20–26 °C and 40–70 %RH. Coefficients of determination were $R^2=0.9607$ for $T_{\mathrm{air}}$ and $R^2=0.9382$ for $RH$ ($n=1017$). Leaf temperature and the on-board $VP{D}_{\mathrm{leaf}}$ output itself were validated against reference readings taken during randomly timed site visits on three separate days ($n=250$ after excluding apparent misreads): $T_{\mathrm{leaf}}$ showed $R^2=0.8852$ against the FLIR E4, and the device-computed $VP{D}_{\mathrm{leaf}}$ showed $R^2=0.9100$ against a reference $VP{D}_{\mathrm{leaf}}$ computed from the same reference readings, with a mean bias of $+0.008$ kPa and an RMSE of $0.046$ kPa. A propagation-of-error analysis separately yielded a worst-case $VP{D}_{\mathrm{leaf}}$ uncertainty of $\pm 0.153$ kPa under representative conditions ($T_{\mathrm{air}}=25$ °C, $T_{\mathrm{leaf}}=24$ °C, $RH=65\%$), mainly driven by the $\pm 0.5$ °C infrared sensor tolerance; the empirically observed error was well within this conservative bound. With a cost of USD 83.28, this platform provides a practical and economically accessible tool for real-time monitoring and VPD-informed decision making in vertical farms and greenhouses. Full article

Fluorinated pesticides are an emerging class of environmental contaminants owing to their widespread agricultural use, high persistence, and ability to generate highly stable per- and polyfluoroalkyl substances (PFAS) during environmental degradation. Active ingredients containing fluorinated moieties undergo photolytic, hydrolytic, and microbial transformation, producing persistent metabolites such as trifluoroacetic acid (TFA), TFNA, TFNG, AMTT, and FM-6-1, which are highly mobile substances and may enter the food chain. To address this challenge, complementary LC–MS/MS and GC–MS/MS methods combined with QuEChERS and methanol extraction, and a modified QuPPe-based procedure for TFA and DFA were developed and validated for the determination of 76 fluorinated analytes, including fluorinated pesticides and selected transformation products with diverse physicochemical properties. Validation of the analytical workflow included the assessment of limits of quantification (LOQs), recovery, precision, expanded measurement uncertainty, and matrix effects at three spiking levels. LOQs ranged from 0.002 to 0.050 mg kg⁻¹. Recoveries were 63.9–114.7% for GC–MS/MS and 40.3–109% for LC–MS/MS. The validated analytical workflow is suitable for monitoring fluorinated pesticides and selected transformation products in potatoes, onions, pears, watermelons, carrots, and cauliflower and may support routine food-safety control. Full article

The utilization of protein-rich agricultural by-products offers a sustainable strategy for developing plant-based meat analogs. This study investigated the effects of cold-pressed hemp seed cake (HSC) incorporation at levels of 0–20% on the pasting, thermal–rheological, textural, and structural properties of high-moisture meat analogs produced by extrusion. Increasing HSC incorporation significantly reduced peak viscosity, indicating altered starch–protein–fiber interactions within the blends. During temperature-sweep measurements, all formulations exhibited elastic-dominant behavior, with the storage modulus remaining higher than the loss modulus throughout heating and cooling. Although the initial viscoelastic moduli decreased with increasing HSC content, the final moduli after cooling were comparable to those of the control. Incorporation of 15% and 20% HSC significantly decreased hardness from 44.02 to 38.88 N and chewiness from 1730.20 to 1517.31 g, whereas springiness, cohesiveness, and the hardness degradation ratio remained largely unchanged. Fibrous structures were maintained in all formulations, while cutting strength tended to increase and the texturization degree numerically increased from 1.04 to 1.15 at 20% HSC. These findings demonstrate that HSC can replace up to 20% of the conventional protein–starch blend while maintaining thermal viscoelasticity and anisotropic fibrous structure, although producing a moderately softer high-moisture meat analog. Full article

This study characterized regional variation in faba bean rhizosphere bacterial communities across a broad survey of the Qinghai Plateau and examined their associations with soil and spatial factors. Rhizosphere soil samples were collected from 15 faba bean-growing field sites across Haidong City, Xining City, and Hainan Tibetan Autonomous Prefecture, Qinghai Province, China, spanning elevations from 1842.9 to 3206.3 m. Nine within-site subsamples were collected at each field site, with the field site treated as the independent unit of replication. Soil physicochemical properties were measured, and bacterial communities were characterized by high-throughput sequencing of the 16S rRNA gene. At the site level, bacterial alpha-diversity indices showed numerical variation among the three regional elevation groups, but did not differ significantly. Bacterial community composition differed among groups in the site-level PERMANOVA based on Bray–Curtis dissimilarities (pseudo-F_2.12 = 1.789, R² = 0.230, p = 0.031), although substantial overlap among sites remained. However, a conservative locality-level sensitivity analysis was not significant (p = 0.060). Geographic distance was significantly associated with bacterial community dissimilarity, whereas elevation difference showed no detectable independent association after controlling for geographic distance, indicating a substantial contribution of spatial structure to the observed community differentiation. Dominant phylum-level composition was broadly conserved across sites, while genus-level relative abundances showed descriptive spatial variation. Neither RAVD-based compositional consistency nor community-level niche breadth differed significantly among groups. Among the measured soil properties, only pH differed significantly, whereas most nutrient variables did not. Overall, the study revealed spatially structured regional differentiation in faba bean rhizosphere bacterial communities across the Qinghai Plateau. The observed patterns likely reflect the combined influence of geographic structure, elevation, background soil conditions, agricultural management, plant phenology, and other unmeasured environmental factors, which could not be independently disentangled in the present survey. Full article

Whether agricultural cultural heritage (ACH) tourism supports sustainable heritage development depends partly on whether visits sustain the communication and internalization of heritage knowledge rather than merely produce favorable consumption evaluations. Drawing on experience economy theory, social identity theory, and tourism learning theory, this study constructs a mechanism model linking ACH experiences to tourists’ cultural learning. To reduce conceptual overlap, experience quality is defined as visitors’ perceived distinctiveness, novelty, and memorability of the visit, whereas perceived value is defined as a utilitarian assessment of gains relative to the money, time, and effort invested. ACH experience is therefore divided into three analytically distinct dimensions: experience quality, perceived value, and knowledge transfer. Cultural identity is introduced as a mediating variable and is understood as a layered psychological construct including cognitive recognition, affective attachment, and evaluative commitment. Income level is introduced as a moderating variable and is interpreted as a within-sample socioeconomic boundary condition after controlling for education and other demographic characteristics. In this study, sustainability is defined narrowly as the sociocultural continuity of ACH from the visitor side and is operationalized through perceived knowledge transfer, cultural identity, and self-reported cultural learning; income is used to examine whether this pathway differs across socioeconomic groups. Based on 430 valid questionnaires collected from visitors to ACH sites in Fujian Province, this cross-sectional study conducts empirical tests using structural equation modeling (SEM), Bootstrap mediation analysis, and hierarchical regression analysis. The results show that experience quality and knowledge transfer are positively associated with tourists’ cultural learning, with knowledge transfer showing the stronger association. Perceived value has no significant relationship with cultural learning, indicating that a consumption-level perception of value for money does not necessarily correspond to deeper cultural learning. Cultural identity fully mediates the statistical relationship between knowledge transfer and tourists’ cultural learning, revealing a dominant pathway linking knowledge transfer, cultural identity, and cultural learning. Income level positively moderates the relationship between cultural identity and tourists’ cultural learning. Because the data are cross-sectional and self-reported, these findings indicate theoretically consistent associations rather than definitive causal effects. The study contributes to sustainability research by offering a quantifiable visitor-side framework for monitoring knowledge communication, cultural connection, and learning-related outcomes. Repeated measurement of these indicators may support adaptive heritage management and inclusive cultural participation, but they should be combined with ecological, economic, and community-based indicators rather than treated as a complete sustainability index. Full article

Agricultural non-point source (NPS) pollution is an important contributor to nitrogen enrichment in many northern Chinese watersheds. Using monthly water quality data collected at nine national monitoring sections along the main stem of the Liao River during 2021–2025, we estimated total nitrogen (TN) emissions from crop cultivation, livestock and poultry farming, and aquaculture using an emission coefficient method. We also used the maximum information coefficient (MIC) to examine nonlinear associations between monthly discharge and TN concentration, and described the spatial and temporal patterns of TN. TN concentrations were lower at the upstream inflow section than at the downstream estuarine section, a pattern consistent with additional inputs within Liaoning Province. The MIC analysis identified a lagged statistical association between terminal discharge and TN concentration; however, it does not establish a transport time or causal mechanism. TN concentrations declined in 2025 while pollution control measures were being implemented, although the observational record cannot attribute that decline to the measures. These results provide a basis for prioritizing monitoring and agricultural NPS control in the Liao River Basin. Full article

While continuously promoting agricultural water-saving and efficiency improvement, Ningxia is confronted with problems such as deepening groundwater tables and growing ecological vulnerability. Exploring the trade-off relationships and their evolutionary characteristics between socioeconomic development and water resource carrying capacity, as well as between water use efficiency improvement and groundwater-ecosystem maintenance, is of great significance for coordinated water resource governance in arid irrigation districts. Based on time-series data covering 2000–2024, this paper establishes a DPSIR evaluation model and constructs a progressive quantitative analytical framework coupling the entropy-weight-Tapio decoupling, rate-scissors difference and PLS-SEM models. During the study period, the growth rate of the response (R) dimension (13.76%) was far higher than that of the state (S) dimension (3.23%) from 2011 to 2020, confirming the objective existence of dual trade-offs. The two categories of trade-offs underwent a three-stage evolution of “latent-intensified-remediation”, showing the counter-intuitive feature of “effective total-volume control alongside continuous groundwater table deepening”. Hidden transmission barriers were identified for 2008–2016 (θ₁, θ₂ dropped to 0.46–1.32°): the transfer of water-saving dividends to industry caused groundwater extraction to rise rather than fall to a certain extent. PLS-SEM analysis reveals that structural lock-in acts as the core inhibiting factor for ecological protection. The total effect of socioeconomic development on ecology reaches 0.921, whereas structural lock-in produces a chained negative mediating effect of −0.192 by suppressing water use efficiency. Improvement in water use efficiency presents dual characteristics of overall ecological gain and localized groundwater-recharge loss. It can be concluded that engineering-only water-saving measures cannot balance water-intake reduction and recharge deficits. It is necessary to simultaneously advance low-water-consumption cropping-pattern restructuring, rigid enforcement of the 2.5 m ecological groundwater table threshold, and the substitution mechanism for saved-water volume between industry and agriculture, so as to build a coordinated “water-saving-recharge-ecology” regulation system. Full article

This examines the development of the saltpeter industry in Chile after the War of the Pacific (1879–1883), a conflict between Chile and a Bolivian–Peruvian alliance. Chile’s victory meant the annexation of the territories of Antofagasta and Tarapacá, effectively controlling the production of sodium nitrate and the global saltpeter monopoly. Industrial development was reflected through changes in foreign and Chilean capitals, technologies, and work practices. In Tarapacá, the most important investments in the 19th century were British and German. In Antofagasta, Chilean, English, German, and Croatian investments were prominent in the 19th and 20th centuries. And since 1926, American capitals have occupied the spotlight. The dominant technologies were the Shanks system between 1880–1926, the Guggenheim from 1926–1954, and the introduction of Solar Evaporation in the 1950s. Work evolved from manual artisanal labor without legal protection to mechanization under social laws. Saltpeter represented, in the social and economic history of Chile, the rise of the proletariat, communal social movements, a strong labor press, and a series of strikes and massacres. From the saltpeter era sprouted powerful literature, poetry, and music throughout the 20th century until today. The nitrate industry reached its peak between 1881 and 1917. During this period, it had to confront competition from synthetic nitrate and ceased to be the main source of revenue for the national treasury of Chile. This was followed by a period of decline and crisis from 1918 to 1931, the latter intertwined with the global financial crisis. Various state and business measures made it possible for a small number of nitrate oficinas (processing plants and settlements) in Tarapacá and Antofagasta to continue operating until the nationalization of the nitrate industry in 1971. The nitrate industry took place during the first globalization of liberalism, one that brought flows of capital, migration from Europe to the American Continent, changes to marine navigation, and the opening of various markets in Asia, Europe, and Africa. Nitrate became the most effective fertilizer for agriculture and replaced guano in crop production. In order to analyze this topic, we will utilize the results of the main monographic studies, texts used for historical and political context, and works with interpretative theses about specific periods of nitrate production. Full article

Digital transformation in agricultural production requires automated approaches for monitoring, risk assessment, and decision support under uncertainty. This study proposes an automated risk assessment and control framework for feed production in digital agroengineering systems. The framework is designed for the quantitative evaluation of producer and consumer risks arising during the control of key feed-quality parameters, using the case of feed production for cattle in the OHMK agricultural holding. The proposed approach integrates probabilistic modeling, simulation-based risk estimation, fuzzy logic, expert evaluation, and a multi-agent representation of agroengineering processes. A three-dimensional risk model is developed to represent producer risk, consumer risk, and actuarial risk as interconnected components of a digital control environment. In addition, a fuzzy model is introduced to assess the robustness and digital maturity of management functions, including organization, planning, motivation, and control. Computer experiments based on statistical data for crude protein content in silage demonstrate that control risks depend nonlinearly on measurement uncertainty, parameter variability, and normative thresholds. In the analyzed single-indicator case study, the arithmetic mean of crude protein content in silage was 7.5% of dry matter, the standard deviation was 0.5, and the Weibull approximation parameters were α = 1.0, β = 2.5, and γ = 6.0. Under the most sensitive normative threshold scenario, producer risk increased to approximately 25%, while consumer risk showed a lower but nonlinear increase with measurement uncertainty. The results show that producer risk may reach significant levels when measurement uncertainty becomes comparable with the variability of the controlled parameter. The proposed framework can serve as a computational basis for future automated monitoring, risk-aware control, and decision-support systems in Industry 4.0-oriented agricultural production. Full article

Vernacular heritage conservation often separates material fabric, environmental adaptation, and social meaning. This study addresses that separation for one settlement. Socio-environmental heritage is defined here as heritage whose significance resides in the documented interdependence of environmental conditions, material practice, social organisation, and customary governance, rather than in fabric or imagery alone. The single purpose of the article is to develop and demonstrate an evidence-based method for interpreting and conserving Thee Ain Heritage Village in Al-Baha, Saudi Arabia, as such a system. A qualitative architectural case-study design combines a structured literature search, regional comparison, the author’s 2014 field observations and photographs, and published digital-heritage, energy-retrofit, and conservation studies; no human-participant data are analysed. Evidence is organised through three analytical layers—climatic material, socio-spatial, and customary governance—and each evidence–interpretation proposition is classified as directly observed, supported architectural inference, or hypothesis requiring measurement; conservation translation is treated as the output of this sequence rather than as a parallel analytical layer. Coded claim units are documented individually so that every interpretation and implication can be traced to its source, strength, and limitation. The analysis links rocky siting, stone and timber assemblies, thick load-bearing madameek walls, limited openings, vertical domestic hierarchy, controlled thresholds, and the agricultural setting to conservation priorities at landscape, construction, spatial, and adaptation scales. These priorities include compatible repair, retention of wall depth and opening logic, protection of privacy gradients and threshold sequences, and service integration without reducing the village to stone-clad imagery. Unlike previous work centred on digital documentation, energy modelling, or policy-level preservation, the contribution is an evidence-structured method linking architectural observation to bounded interpretation, conservation decisions, and explicit future testing requirements. Full article

Plant diseases lead to substantial yield losses and pose a persistent threat to global food security, creating an urgent demand for high-throughput, accurate, scalable, and non-destructive disease-monitoring approaches. Remote sensing has emerged as a powerful tool, yet progress in plant disease detection remains fragmented across various disciplines, tasks, sensing methods, and data modalities. This review introduces a hex-view perspective to synthesise remote-sensing-based plant disease detection within a cohesive conceptual framework. Instead of treating sensing technologies, algorithms, and datasets independently, the hex-view incorporates six interconnected dimensions that jointly capture how biological processes, the measurement scale, and data characteristics constrain disease detectability, including when detection is possible and how reliably it can be achieved. The hex-view framework comprises six interconnected dimensions and forms an integrated framework called BTSCAD: (1) Biology (B): plant–pathogen interactions constituting the biological foundation of disease development and expression. (2) Task (T): the diverse disease-detection tasks and their corresponding research objectives. (3) Sensor (S): the sensing modalities that define the data acquisition type and richness of captured information. (4) Condition (C): the environmental conditions, sensing platforms, and spatial scales that shape disease observations and bridge controlled experiments and real-world deployment across leaf, canopy, plot, and regional scales. (5) Algorithm (A): the classical and state-of-the-art data-analysis algorithms used to extract disease-related information from sensor data. (6) Dataset (D): the data sources that underpin model development, evaluation, and generalisability. The hex-view perspective provides a clear framework for interpreting previous research and identifying future research directions. This review lays a structured foundation for developing robust, interpretable, and transferable disease-detection systems, supporting advancements in precision agriculture, high-throughput phenotyping, and sustainable crop production. Full article

The transition towards active-learning pedagogies represents an important challenge in STEM (Science, Technology, Engineering, and Mathematics) education, particularly in Agricultural Engineering courses characterised by mathematically demanding content and complex engineering problem solving. Although gamification and Student Response Systems (SRSs) have shown promising educational potential, empirical evidence regarding their combined application in Agricultural Engineering remains limited. This quasi-experimental repeated-measures study evaluated an Educational Innovation Project integrating the Wooclap Student Response System with structured gamification activities—including educational escape rooms, forensic engineering simulations, collaborative challenges, and peer discussion—in two undergraduate Agricultural Engineering courses at the University of Almería. Academic performance was assessed through short-term (one week) and medium-term (one month) knowledge-retention tests, while students’ perceptions were explored using repeated questionnaire administrations throughout the intervention. Quantitative analyses included descriptive statistics, assessment of normality, paired-samples Student’s t-tests, 95% confidence intervals, and Cohen’s d effect sizes. The intervention was associated with statistically significant improvements in short-term and medium-term academic performance, with medium to large effect sizes, while students also reported high levels of engagement, perceived knowledge retention, technological usability, and reduced academic stress. These findings suggest that integrating a Student Response System with structured gamification may support active learning and knowledge retention in technically demanding Agricultural Engineering courses. Nevertheless, because of the quasi-experimental repeated-measures design and the absence of a parallel control group, the findings should be interpreted as evidence of an association between the instructional approach and the observed educational outcomes rather than as proof of causal effectiveness. Further controlled studies involving larger and more diverse engineering cohorts are warranted. Full article

Agricultural soils in arid regions require assessment approaches that separate local element enrichment from actual ecological and human health relevance. Here, a site-prioritization framework is applied to potentially toxic elements (PTEs) in agricultural soils from Onaizah, central Saudi Arabia. The approach combines contamination indices, ecological-risk screening, deterministic health-risk estimates, Monte Carlo resampling, and relative ranking of management priorities. A total of 33 surface-soil samples collected from cultivated farms were examined for As, Co, Cr, Cu, Mn, Ni, Pb, V, and Zn. The measured concentration ranges (mg/kg) were 1–5 (As), 1–12 (Co), 10–53 (Cr), 4–38 (Cu), 107–541 (Mn), 6–54 (Ni), 2–23 (Pb), 8–47 (V), and 11–168 (Zn). Based on their mean concentrations, the investigated elements decreased in the following sequence: Mn > Zn > Cr > Ni > V > Cu > Pb > Co > As. The P_N values ranged from 0.127 to 1.339, indicating 27 safe sites, 2 warning-line sites, and 4 slightly polluted sites, mainly controlled by localized Zn enrichment and, in one case, Pb. In contrast, mCd values of 0.099–0.676 indicated nil to very low contamination, while RI values of 2.743–15.701 confirmed low ecological risk across all samples. Non-carcinogenic risk was generally below the threshold of concern, with HI values of 0.204–1.018 for children and 0.024–0.119 for adults. Only one site showed a marginal child HI exceedance, emphasizing localized rather than widespread health concern. Children showed approximately 8.6-fold higher non-carcinogenic risk than adults, with Mn, Cr, As, and V as the main contributors. The total LCR values for As, Cr, and Pb ranged from 7.79 × 10⁻⁶ to 4.07 × 10⁻⁵ for children and from 3.48 × 10⁻⁶ to 1.82 × 10⁻⁵ for adults, within the commonly tolerable range of 1 × 10⁻⁶ to 1 × 10⁻⁴. Chromium was the dominant contributor to LCR. Monte Carlo resampling supported the deterministic risk classification, with only a 3.1% probability of child HI exceeding 1 and no simulated exceedance of the LCR threshold for either children or adults. From the standpoint of sustainable soil management, site 7 should undergo further health-risk assessment, while sites 30 and 33 require source verification and periodic monitoring before any remediation action is considered. Full article