Synthetic data at scale: a development model to efficiently leverage machine learning in agriculture.

The rise of artificial intelligence (AI) and in particular modern machine learning (ML) algorithms during the last decade has been met with great interest in the agricultural industry. While undisputedly powerful, their main drawback remains the need for sufficient and diverse training data. The collection of real datasets and their annotation are the main cost drivers of ML developments, and while promising results on synthetically generated training data have been shown, their generation is not without difficulties on their own. In this paper, we present a development model for the iterative, cost-efficient generation of synthetic training data. Its application is demonstrated by developing a low-cost early disease detector for tomato plants (Solanum lycopersicum) using synthetic training data. A neural classifier is trained by exclusively using synthetic images, whose generation process is iteratively refined to obtain optimal performance. In contrast to other approaches that rely on a human assessment of similarity between real and synthetic data, we instead introduce a structured, quantitative approach. Our evaluation shows superior generalization results when compared to using non-task-specific real training data and a higher cost efficiency of development compared to traditional synthetic training data. We believe that our approach will help to reduce the cost of synthetic data generation in future applications.

Impact of atmospheric particulate matter retention on physiological characters of five plant species under different pollution levels in Zhengzhou.

Atmospheric particulate matter (PM) pollution has become a major environmental risk, and green plants can mitigate air pollution by regulating their enzymatic activity, osmoregulatory substances, photosynthetic pigments, and other biochemical characteristics. The present investigation aims to evaluate the mitigation potential of five common evergreen tree species (Photinia serrulata, Ligustrum lucidum, Eriobotrya japonica, Euonymus japonicus, Pittosporum tobira) against air pollution and to assess the effect of dust retention on plant physiological functions exposed to three different pollution levels (road, campus, and park). The results found that the amount of dust retained per unit leaf area of the plants was proportional to the mass concentration of atmospheric particulate matter in the environment, and that dust accumulation was higher on the road and campus than in the park. There were significant differences in dust retention among the five tree species, with the highest leaf dust accumulation observed for E. japonica (5.45 g·m-2), and the lowest for P. tobira (1.53 g·m-2). In addition, the increase in PM adsorption by different plants was uneven with increasing pollution levels, with significant decreases in chlorophyll content, photosynthetic and transpiration rate. From a physiological perspective, P. tobira exhibited greater potential to respond to PM pollution. Biochemical indicators suggested that PM pollution caused changes in plant protective enzyme activities, with a decrease in superoxide dismutase (SOD) and peroxidase (POD) activities, as well as promoting membrane lipid peroxidation, and appropriate stress also enables plants to counteract oxidative damage. In particular, PM exposure also induced stomatal constriction. Overall, PM retention was significantly associated with physiological and photosynthetic traits. In conclusion, our study contributes to the understanding of the effects of PM on plant physiology. Furthermore, it also provides insights into the selection of plants that are tolerant to PM pollution.

Legacy and emerging flame retardants in sediments and wastewater treatment plant-derived biosolids.

A baseline assessment of legacy and emerging flame retardant chemicals was performed in inland and transitional sediments as well as biosolids emanating from a selection of wastewater treatment plants (WWTPs) in Ireland. A selection of 24 polychlorinated biphenyls (PCBs), polybrominated diphenyl ethers (PBDEs), and chlorinated organophosphate esters (Cl-OPEs) were quantified in: 81 inland and transitional sediment samples collected during 2023; 39 transitional sediments collected between 2018 and 2022; and 21 biosolid samples collected from 7 WWTPs over 4-month intervals in January, May, and September 2023. Highest concentrations of BDE-209 and several Cl-OPEs were detected in both sediment and biosolid samples, while most PCBs and penta-/octa-BDEs were comparatively low. Moderate levels of PBDEs and Cl-OPEs were detected in Irish sediments compared to similar studies conducted internationally. In biosolid samples, levels of BDE-209 were on the higher end of figured reported worldwide while levels of Σ8Cl-OPEs were the highest relative to comparable international studies. PCBs meanwhile are on the lower end of international levels for both biosolids and sediments. Based on available predicted no-effect concentrations (PNECs), the majority of compounds assessed were found to be of low-risk based on their levels in sediments with the exception of TCIPP (Risk Quotient - RQ = 1.354 ≥ high risk) as well as EHDPP, TEHP, PCB-118, and PCB-52 (RQ = 0.948, 0.576, 0.446, and 0.257 respectively ≥ moderate risk). Similar risk assessment could not be performed on contaminants in biosolids, though levels of BDE-209 were on the higher end of figured reported worldwide (avg = 3155 ng/g) while levels of Σ8Cl-OPEs were the highest relative to comparable international studies (avg8 = 3290 ng/g). As the legacy PBDEs and PCBs have been listed as persistent organic pollutants (POPs) and replacement flame retardants such as Cl-OPEs have been flagged by programmes such as human biomonitoring for EU (HBM4EU) and the NORMAN Network as chemicals of emerging concern, continued monitoring of these moderate and high-risk contaminants in sediments, as well as an investigation of potential contamination of the food chain through land-spreading of biosolids on agricultural lands, would be warranted.

Quantifying vulnerability to plant invasion across global ecosystems.

The widely referenced "tens rule" in invasion ecology suggests that approximately 10% of established, non-native species will become invasive. However, the accuracy of this estimate has been questioned, as the original analysis focused on small groups of plant species in Great Britain and Australia. Using a novel database of 9501 established plants and 2924 invasive plants, we provide a comprehensive evaluation of the tens rule and the first empirical analysis of how invasion rates vary across spatial scales, islands/mainlands, and climate zones. We found that invasion rates (the percentage of established species with negative impacts) are highly variable across the globe. Well-sampled environments (those with at least 2000 total non-native species recorded) had invasion rates that ranged from 7.2% to 33.8%. Invasion rates were strongly scale-dependent, averaging 17% at the country scale and 25% at the continental scale. We found significantly higher invasion rates on islands when compared with mainlands, regardless of scale. Tropical ecosystems are often considered to be resistant to invasion; however, our results showed significantly higher invasion rates on both tropical islands and mainlands, suggesting unexpectedly high vulnerability of these species-rich ecosystems. We conclude that the tens rule is a poor general estimate of invasion rates for plants, as calculated invasion rates vary widely and are frequently much higher than 10%. Most locations would be better served by using invasion rates that vary based on the recipient environment. Our updated estimates of invasion rates should be highly relevant for invasive species management strategies, including weed risk assessments, which can be adjusted to identify more species as high-risk in areas where invasion rates are higher. Assuming that 10% of established species will become invasive is likely to substantially underestimate invasion rates in most geographies.

Strain-level multidrug-resistant pathogenic bacteria in urban wastewater treatment plants: Transmission, source tracking and evolution.

Wastewater treatment plants (WWTPs) serve as reservoirs for various pathogens and play a pivotal role in safeguarding environmental safety and public health by mitigating pathogen release. Pathogenic bacteria, known for their potential to cause fatal infections, present a significant and emerging threat to global health and remain poorly understood regarding their origins and transmission in the environment. Using metagenomic approaches, we identified a total of 299 pathogens from three full-scale WWTPs. We comprehensively elucidated the occurrence, dissemination, and source tracking of the pathogens across the WWTPs, addressing deficiencies in traditional detection strategies. While indicator pathogens in current wastewater treatment systems such as Escherichia coli are effectively removed, specific drug-resistant pathogens, including Pseudomonas aeruginosa, Pseudomonas putida, and Aeromonas caviae, persist throughout the treatment process, challenging complete eradication efforts. The anoxic section plays a predominant role in controlling abundance but significantly contributes to downstream pathogen diversity. Additionally, evolution throughout the treatment process enhances pathogen diversity, except for upstream transmission, such as A. caviae str. WP8-S18-ESBL-04 and P. aeruginosa PAO1. Our findings highlight the necessity of expanding current biomonitoring indicators for wastewater treatment to optimize treatment strategies and mitigate the potential health risks posed by emerging pathogens. By addressing these research priorities, we can effectively mitigate risks and safeguard environmental safety and public health.

Insights into the bioactive potential of the Amazonian species Acmella oleracea leaves extract: a focus on wound healing applications.

ETHNOPHARMACOLOGICAL RELEVANCE: Acmella oleracea is traditionally used by Amazonian folks to treat skin and mucous wounds, influenza, cough, toothache, bacterial and fungal infections. Its phytoconstituents, such as alkylamides, phenolic compounds, and terpenes, are reported to produce therapeutic effects, which justify the medicinal use of A. oleracea extracts. However, the scientific evidence supporting the application A. oleracea bioactive products for wound treatment of remains unexplored so far. OBJECTIVE: This work aimed to characterize the phytochemical composition of methanolic extract of A. oleracea leaves (AOM) and to investigate their antioxidant, anti-inflammatory, antimicrobial and healing potential focusing on its application for wound healing. MATERIAL AND METHODS: The dried leaves from A. oleracea submitted to static maceration in methanol for 40 days. The phytochemical constitution of AOM was analyzed based on the total phenolic dosage method and by UFLC-QTOF-MS analysis. Antioxidant activity was assessed by DPPH and NO scavenging activities, as well as MDA formation, evaluation of ROS levels, and phosphomolybdenum assays. In vitro anti-inflammatory activities were assessed by reduction of NO, IL-6, and TNF-α production and accumulation of LDs in peritoneal macrophages cells. Antimicrobial activity was evaluated by determining MIC and MBC/MFC values against P. aeruginosa, E. coli, S. epidermidis, S. aureus and C. albicans, bacterial killing assay, and biofilm adhesion assessment. In vitro wound healing activity was determined by means of the scratch assay with L929 fibroblasts. RESULTS: Vanillic acid, quercetin, and seven other alkamides, including spilanthol, were detected in the UFLC-QTOF-MS spectrum of AOM. Regarding the biocompatibility, AOM did not induce cytotoxicity in L929 fibroblasts and murine macrophages. The strong anti-inflammatory activity was evidenced by the fact that AOM reduced the cellular production of inflammatory mediators IL-6, TNF-α, NO, and LDs in macrophages by 100%, 96.66 ± 1.95%, 99.21 ± 3.82%, and 67.51 ± 0.72%, respectively. The antioxidant effects were confirmed, since AOM showed IC50 values of 44.50 ± 4.46 and 127.60 ± 14.42 µg/mL in the DPPH and NO radical inhibition assays, respectively. Additionally, AOM phosphomolybdenium reducing power was 63.56 ± 13.01 (RAA% of quercetin) and 104.01 ± 21.29 (RAA% of rutin). Finally, in the MDA quantification assay, AOM showed 63,69 ± 3.47% of lipid peroxidation inhibition. It was also observed that the production of ROS decreased by 69.03 ± 3.85%. The MIC values of AOM ranged from 1000 to 125 µg/mL. Adhesion of S. aureus, P. Aeruginosa, and mixed biofilms was significantly reduced by 44.71 ± 4.44%, 95.50 ± 6.37 %, and 51.83 ± 1.50%, respectively. AOM also significantly inhibited the growth of S. aureus (77.17 ± 1.50 %) and P. aeruginosa (62.36 ± 1.01%). Furthermore, AOM significantly enhanced the in vitro migration of L929 fibroblasts by 97.86 ± 0.82% compared to the control (P<0.05). CONCLUSIONS: This study is the first to report total antioxidant capacity and intracellular LD reduction by AOM. The results clearly demonstrated that AOM exerts potent anti-inflammatory, antioxidant, antimicrobial, and wound healing effects, encouraging its further investigation and promising application in wound treatment.

The Gut Health Revolution: Herbs and Dietary Phytochemicals in Balancing Gut Microbiota for Optimal Human Health.

The gut microbiota is a varied population of microorganisms that live in the human gastrointestinal system. Emerging research emphasizes the importance of this microbial ecology in general health and its influence on a variety of disorders. The review explores the synergy between herbal treatment and traditional medicine, emphasizing their cultural significance and therapeutic benefits. It delves into the intricate relationship between herbal remedies, traditional healing practices, and their sustained usage over centuries. The review highlights the pivotal role of the gut microbiota in herbal medicine, elucidating how treatments influence the gastrointestinal microorganisms, impacting overall health. Dietary phytochemicals are underscored for their significance in herbal medicine and nutritional well-being, along with the interdependence of plant extracts and botanicals. The investigation explores the molecular connections between phytoconstituents and gut microbiota, aiming to deepen the understanding of herbal medicine's tailored approach to specific health challenges. The summary concludes by emphasizing herbal treatments' unique ability to regulate gut flora, contributing to overall gastrointestinal wellbeing. In closing, the review provides a concise overview, serving as a valuable resource for integrative medicine research, with recommendations for future exploration of herbal medicine's potential in healthcare.

A global database of soil seed bank richness, density, and abundance.

A soil seed bank is the collective name for viable seeds that are stored naturally in the soil. At the species or population level, the ability to form a seed bank represents a strategy for (re)colonization following a disturbance or other change in the local environmental conditions. At the community level, seed banks are thought to buffer local diversity during periods of environmental change and are often studied in relation to the potential for passive habitat restoration. The role that seed banks play in plant population and community dynamics, as well as their importance in the agricultural sector, means that they have been widely studied in ecological research. This database is the result of a comprehensive literature search, including all seed bank studies from the Web of Science from which data could be extracted, as well as an additional search of the Russian language literature. The database contains information on the species richness, seed density, and/or seed abundance in 3096 records from at least 1929 locations across the world's seven continents, extracted from 1442 studies published between 1940 and 2020. Records are grouped into five broad habitat categories (aquatic, arable, forest, grassland-including shrubland-and wetland), including information relating to habitat degradation from, or restoration to other habitats (total 14 combinations). Sampling protocols were also extracted for each record, and the database was extensively checked for errors. The location of each record was then used to extract summary climate data and biome classification from external published databases. The database has several potential uses. The large geographical spread relative to many other global biodiversity datasets is relevant for investigating patterns of diversity in biogeographical or macroecological contexts. Habitat type and status (intact, degraded, and restored) can be used to provide insights for biodiversity conservation, while the potential effects of sampling method and effort can be used to inform optimized data collection for future seed bank studies. This database is released under the CC-BY license.

Estimation of soil-to-plant transfer factor across six local government areas of Kwara state, Nigeria.

Transfer factors (TFs) are among the necessary parameter values for the mathematical modeling of radiological pollution's environmental impact. In this study, 238U, 232Th, and 40K activity concentrations and TFs were estimated in 48 soil and plant samples through gamma-ray spectrometry NaI(Tl) in six selected areas of local governments in Kwara State, Nigeria. The findings revealed that the soil and plant samples' 238U and 232Th activity concentrations were within the radiological safety limits. The TFs of soil to plant fell within the worldwide ranges. A set of statistical tests were applied to verify the validity of the data, such as descriptive analysis, the analysis of variance (ANOVA) test, frequency distribution, and Spearman's correlation. The study reveals a skewed distribution in data. Spearman correlation coefficient analysis indicates a moderately negative correlation between 238U, 232Th, and 40K's activity concentrations and their respective TFs (TFU, TFTh, and TFK). In terms of future research in the study area, it is hoped that the data from this study will contribute to improved scientific knowledge.

Ethnobotanical Study of Medicinal Plants in Tehuledere District, Northwest Ethiopia.

Medicinal plants have constituted a fundamental aspect of human health and wellness for millennia. The objective of this study was to document medicinal plants used to treat human and livestock ailments in the Tehuledere District. The data were collected using semistructured interviews, focus group discussions, and field observations with local informants. Preference ranking, direct matrix ranking, and informant consensus factor were used for data analysis. A total of 63 medicinal plant species belonging to 59 genera and 41 families were documented. The predominant families identified were Lamiaceae and Asteraceae, each containing 6 and 5 species, respectively. Of the recorded medicinal plants, 53 (80.95%) species were used for human ailments, whereas 12 (19.05%) species were used for animal health issues. Among the recorded medicinal plant species, shrubs constitute the highest number with 35% species. The most frequently used plant parts were leaves, accounting for 59% of remedies targeting human ailments. The administration of herbal treatments was primarily oral, aimed at addressing various diseases. The most significant threat to these medicinal plants was attributed to agricultural expansion, followed by the collection of firewood. The aim of documenting the use of medicinal plants in the treatment of diseases was to capture traditional practices, with species such as Eucalyptus globulus, Olea europaea subsp. cuspidata, and Lepidium sativum serving as the foundational basis for future pharmacological studies. It is imperative to prioritize the conservation of Laggera tomentosa and Urtica simensis to safeguard biodiversity and the cultural traditions associated with these endangered species. Engaging local communities in the management and conservation of plant resources, along with the preservation of their traditional knowledge, presents a cost-effective and sustainable solution.