Maximizing agricultural tractor energy efficiency is crucial for sustainable farming. Tractors are one of the most popular machines in use in agriculture, and much of their use is dedicated to drawbar operations. Under these conditions, only up to 70 % of engine power is transferred to the soil, and this may even drop to 50 % on soils with poor mechanical properties. Recently, tyres which meet very high flexion standards have hit the market and to date, no study has performed a thorough full-vehicle traction analysis of vehicles equipped with such standards. This paper investigated the influence of tyres on vehicle performance and efficiency. Moreover, a cost analysis of the new tyre technology was carried out to assess the duration of use necessary for farmers to recoup the financial investment this new tyre technology requires. The analysis comprised steady-state drawbar tests on two soil types using a tractor rated at 230 kW and equipped with wheel force transducers. Key performance indicators were calculated from the collected data. Results showed superior traction on softer soil, where the mean vehicle traction ratio was 6.4 % higher than on firmer soil, highlighting tyre set performance differences. However, traction efficiency was 17.5 % greater on firmer soil. Very high flexion tyres resulted in improved indicators in both soils and despite the greater cost of tyres using the new standard, farmers may obtain economic benefits even within a year if such tyres are mostly used in field operations and on soft soils.

Ginger is a significant ethnobotanical and pharmacological crop consisting of potential bioactive constituents responsible for their nutraceutical value, they can have anti-inflammatory, antiobesity, antidiabetic, antinausea, antimicrobial, pain alleviation, antitumor, antioxidant and protective effects on respiratory disease, and agerelated disease. Ginger possesses a substantial value, but its production and general quality are greatly harmed by various biotic and abiotic stressors, to which it is highly susceptible. Fungi are the most damaging disease-causing agents, one of the devastating fungal pathogens in ginger is Fusarium spp., a soil and seed-borne pathogen resulting in poor production, poor quality, and decreased economic returns to the farmers. It infects ginger in every stage of development and each plant part even during post-harvest storage. This review emphasizes a comprehensive understanding of the nutraceutical value of ginger compounds, and Fusarium disease in ginger with its pathogenicity. Moreover, this review elaborates on an improvement of ginger yield by the management of the Fusarium pathogen through the biological and biotechnological approach.

The environmental threat, pollution and damage posed by heavy metals to air, water, and soil emphasize the critical need for effective remediation strategies. This review mainly focuses on microbial electrochemical technologies (MET) for treating heavy metal pollutants, specifically includes Chromium (Cr), Copper (Cu), Zinc (Zn), Cadmium (Cd), Lead (Pb), Nickel (Ni), and Cobalt (Co). First, it explores the mechanisms and current applications of MET in heavy metal treatments in detail. Second, it systematically summarizes the key microbial communities involved, analyzing their extracellular electron transfer (EET) processes and summarizing strategies to enhance the EET efficiencies. Next, the review also highlights the synergistic microbial interactions in bioelectrochemical systems (BES) during the recovery and removal (remediation) processes of heavy metals, underscoring the crucial role of microorganisms in the transfer of the electrons. Then, this paper discussed how factors including pH values, applied voltages, types and concentrations of electron donors, electrode materials, biofilm thickness and other factors affect the treatment efficiencies of some specific metals in BES. BES has shown its great superiority in treating heavy metals. For example, for the treatments of Cr6+, under low pH conditions, the recovery and removal rate of Cr-6(+) by double chambers microbial fuel cell (DCMFC) can generally reach 98-99%, with some cases even achieving 100% (Gangadharan & Nambi, 2015). For the treatments of heavy metal ions such as Cu2+, Zn2+ and Cd2+, BES can also achieve the rates of treatments of more than 90% under the corresponding conditions of appropriate pH values and applied voltages(Choi, Hu, & Lim, 2014; W. Teng, G. Liu, H. Luo, R. Zhang, & Y. Xiang, 2016; Y. N. Wu et al., 2019; Y. N. Wu et al., 2018). After that, the review outlines the future challenges and the research opportunities for understanding the mechanisms of BES and microbial EET in heavy metal treatments. Finally, the prospect of future BES researches are pointed out, including the combinations with existing wastewater treatment systems, the integrations with the wind energy and the solar energy, and the application of machine learning (ML) in future BES. This article has certain significance and value for readers to better understand the working principles of BES and better operate and control BES to deal with heavy metal pollutants.

Numerous loess relic sites with cultural and historical values exist in the seasonally frozen ground region of Northwest China. Freeze-thaw action is an essential factor in inducing cracking and collapse of loess relic sites, and the creep behavior of loess also affects its long-term stability. Microbially induced calcium carbonate precipitation (MICP) technology has a promising application in earthen ruin reinforcement due to its environmental friendliness and good compatibility. To evaluate the feasibility of MICP technology for reinforcing loess relic sites in the seasonally frozen ground, triaxial compression tests, triaxial creep tests, and SEM tests were conducted on MICP modified loess after 0, 1, 3, 7, and 9 freeze-thaw cycles. Then, the changing laws of shear strength and creep properties of samples in the freeze-thaw conditions were analyzed. The results show that the MICP technology can enhance the mechanical properties and frost resistance of loess. The shear strength, cohesion, and long-term strength of MICP modified loess are enhanced by 27.8 %, 109 %, and 29.8 %, respectively, under 100 kPa confining pressure, and their reduction is smaller than that of the untreated loess after 9 freeze-thaw cycles; the internal friction angle fluctuates within 1 degrees. Finally, the reinforcement mechanism and freeze-thaw resistance mechanism of MICP technology were revealed. Microbially induced calcium carbonate can cement soil particles, fill interparticle pores, and inhibit the development of pores and cracks caused by freeze-thaw action. The results can provide a theoretical foundation and scientific basis for the long-term stability analysis of loess relic sites reinforced with MICP technology.

Cadmium (Cd) in soil and water streams is now recognized as a significant environmental issue that harms plants and animals. Plants damaged by Cd toxicity experience various effects, from germination to yield reduction. Plant- and animal-based goods are allowing more Cd to enter our food chain, which could harm human health. Therefore, this urgent global concern must be addressed by implementing appropriate remedial measures. Plantbased phytoremediation is one safe, economical, and environmentally acceptable way to remove hazardous metals from the environment. Hyperaccumulator plants possess specialized transport proteins, such as metal transporters located in membranes of roots, as well as they facilitate Cd uptake from soil. This review outlines the latest findings about these membrane transporters. Moreover, we also discuss how innovative modern tools such as microbiomes, omics, nanotechnology, and genome editing have revealed molecular regulators connected to Cd tolerance, which may be employed to develop Cd-tolerant future plants. We can develop effective solutions to enhance tolerance of plant to Cd toxicity by leveraging membrane transporters and modern biotechnological tools. Additionally, implementing strategies to increase tolerance of Cd and restrict its bioavailability in plants' edible parts is crucial for improving food safety. These combined efforts will lead to the cultivation of safer food crops and support sustainable agricultural practices in contaminated environments.

Arsenic contamination poses a significant threat to agricultural productivity and food security, especially in Cicer arietinum L. (chickpea). This study evaluates the potential of silicon nanoparticles (SiNPs) to mitigate arsenic stress in C. arietinum (Noor 2022). The experiment was conducted at The Islamia University of Bahawalpur using a randomized complete block design (RCBD) with a factorial arrangement and three replications. A pot experiment was conducted using seven treatments comprising various concentrations of SiNPs applied alone or combined with arsenic [T0 (control, no SiNPs), T1 (3.5% SiNPs), T2 (7% SiNPs), T3 (10.5% SiNPs), T4 (3.5% SiNPs + 30 ppm Ar), T5 (7% SiNPs + 30 ppm Ar), and T6 (10.5% SiNPs + 30 ppm Ar)]. SiNPs were applied as foliar sprays in three splits from the second to fourth weeks after sowing. Morphological, physiological, and biochemical parameters were assessed, including chlorophyll content, total soluble proteins, proline, and antioxidant enzyme activities. The results demonstrated that SiNPs significantly enhanced stress tolerance in chickpea plants. At 10.5% SiNPs, chlorophyll content increased by 35%, carotenoids by 42%, and proline by 68% compared to arsenic-stressed plants without SiNPs, indicating improved photosynthetic efficiency and osmotic adjustment. Antioxidant enzyme activities, including peroxidase (POD), superoxide dismutase (SOD), and ascorbate peroxidase (APX), increased by 50%, 47%, and 53%, respectively, mitigating oxidative damage. Soluble sugars and phenolic content also rose by 28% and 32%, respectively, under 10.5% SiNPs. However, when combined with arsenic, some antagonistic effects were observed, with a slight decrease in chlorophyll and antioxidant activity compared to SiNPs alone. These findings suggest that SiNPs are a promising tool for improving crop resilience in arsenic-contaminated soils, offering insights into sustainable agricultural practices. Further research is warranted to explore long-term impacts and optimize application strategies.

This study evaluated the usability and effectiveness of robotic platforms working together with foresters in the wild on forest inventory tasks using LiDAR scanning. Emphasis was on the Universal Access principle, ensuring that robotic solutions are not only effective but also environmentally responsible and accessible for diverse users. Three robotic platforms were tested: Boston Dynamics Spot, AgileX Scout, and Bunker Mini. Spot's quadrupedal locomotion struggled in dense undergrowth, leading to frequent mobility failures and a System Usability Scale (SUS) score of 78 +/- 10. Its short, battery life and complex recovery processes further limited its suitability for forest operations without substantial modifications. In contrast, the wheeled AgileX Scout and tracked Bunker Mini demonstrated superior usability, each achieving a high SUS score of 88 +/- 5. However, environmental impact varied: Scout's wheeled design caused minimal disturbance, whereas Bunker Mini's tracks occasionally damaged young vegetation, highlighting the importance of gentle interaction with natural ecosystems in robotic forestry. All platforms enhanced worker safety, reduced physical effort, and improved LiDAR workflows by eliminating the need for human presence during scans. Additionally, the study engaged forest engineering students, equipping them with hands-on experience in emerging robotic technologies and fostering discussions on their responsible integration into forestry practices. This study lays a crucial foundation for the integration of Artificial Intelligence (AI) into forest robotics, enabling future advancements in autonomous perception, decision-making, and adaptive navigation. By systematically evaluating robotic platforms in real-world forest environments, this research provides valuable empirical data that will inform AI-driven enhancements, such as machine learning-based terrain adaptation, intelligent path planning, and autonomous fault recovery. Furthermore, the study holds high value for the international research community, serving as a benchmark for future developments in forestry robotics and AI applications. Moving forward, future research will build on these findings to explore adaptive remote operation, AI-powered terrain-aware navigation, and sustainable deployment strategies, ensuring that robotic solutions enhance both operational efficiency and ecological responsibility in forest management worldwide.

This study investigates the potential of green-fabricated manganese dioxide (MnO2) nanoparticles (NPs) to mitigate chromium (Cr) toxicity in wheat, presenting a novel approach to enhancing ion homeostasis and physiological resilience under Cr stress. Chromium contamination in agricultural soils is a significant concern, severely impacting crop productivity and disrupting the physiological homeostasis of wheat. Chromium exposure compromises nutrient uptake, induces oxidative stress, and impairs plant growth and yield. This study explored the use of green-fabricated MnO2NPs to mitigate Cr-induced oxidative stress in two bread wheat cultivars, Borlaug-16 and SKD-1. Seed nano-priming with MnO2NPs (100, 250, and 500 mg kg-1) was applied, followed by Cr (100 mg kg-1) exposure, and key physiological, biochemical, and ionomic responses were evaluated. Manganese dioxide nanoparticles significantly reduced Cr uptake and improved ion transport. In Borlaug-16, NP250 enhanced seedling height by 74 %, while NP100 reduced H2O2and TBARS by 60.28 % and 50.17 %, respectively, indicating improved oxidative stress tolerance. SKD-1 exhibited greater Cr stress tolerance, with NP250 improving root length by 31.03 % and relative water content by 56.66 %, supporting better water retention. Additionally, MnO2NP treatments boosted antioxidant enzyme activities, increasing APX and GPX by up to 12.47 %, and restored root and leaf anatomy, reversing Cr-induced structural damage. Furthermore, MnO2NPs enhanced the uptake of essential nutrients such as calcium, potassium, and magnesium, while restricting Cr translocation, improving overall nutrient efficiency. These findings emphasize the potential of MnO2NPs as an eco-friendly strategy for enhancing crop resilience and promoting sustainable agriculture in Cr-contaminated soils.

Moisture accumulation within road pavements, particularly in unbound granular materials with or without thin sprayed seals, presents significant challenges in high-rainfall regions such as Queensland. This infiltration often leads to various forms of pavement distress, eventually causing irreversible damage to the pavement structure. The moisture content within pavements exhibits considerable dynamism and directly influenced by environmental factors such as precipitation, air temperature, and relative humidity. This variability underscores the importance of monitoring moisture changes using real-time climatic data to assess pavement conditions for operational management or incorporating these effects during pavement design based on historical climate data. Consequently, there is an increasing demand for advanced, technology-driven methodologies to predict moisture variations based on climatic inputs. Addressing this gap, the present study employs five traditional machine learning (ML) algorithms, K-nearest neighbors (KNN), regression trees, random forest, support vector machines (SVMs), and gaussian process regression (GPR), to forecast moisture levels within pavement layers over time, with varying algorithm complexities. Using data collected from an instrumented road in Brisbane, Australia, which includes pavement moisture and climatic factors, the study develops predictive models to forecast moisture content at future time steps. The approach incorporates current moisture content, rather than averaged values, along with seasonality (both daily and annual), and key climatic factors to predict next step moisture. Model performance is evaluated using R2, MSE, RMSE, and MAPE metrics. Results show that ML algorithms can reliably predict long-term moisture variations in pavements, provided optimal hyperparameters are selected for each algorithm. The best-performing algorithms include KNN (the number of neighbours equals to 15), medium regression tree, medium random forest, coarse SVM, and simple GPR, with medium random forest outperforming the others. The study also identifies the optimal hyperparameter combinations for each algorithm, offering significant advancements in moisture prediction tools for pavement technology.

ObjectiveAcanthamoeba spp. are microscopic single-celled protozoa commonly found in the environment, particularly in soil, water sources, and dust. These parasites are associated with serious infections such as Acanthamoeba keratitis and granulomatous amebic encephalitis. Recent epidemiological studies have highlighted a significant increase in Acanthamoeba keratitis cases. Current treatment methods are generally effective only in the early stages and show limited success when applied late, emphasizing the urgent need for more effective therapeutic and cultivation approaches. The laboratory cultivation of Acanthamoeba spp. is traditionally performed using axenic or monoxenic cultures. However, these methods have notable drawbacks, including the loss of virulence, reduced encystment capability, errors in bacterial inoculation, and time-consuming procedures. To address these limitations, nanotechnological approaches have been proposed. Nanotechnology offers innovative solutions for developing new drug formulations and diagnosing, preventing, and treating various diseases.ObjectiveAcanthamoeba spp. are microscopic single-celled protozoa commonly found in the environment, particularly in soil, water sources, and dust. These parasites are associated with serious infections such as Acanthamoeba keratitis and granulomatous amebic encephalitis. Recent epidemiological studies have highlighted a significant increase in Acanthamoeba keratitis cases. Current treatment methods are generally effective only in the early stages and show limited success when applied late, emphasizing the urgent need for more effective therapeutic and cultivation approaches. The laboratory cultivation of Acanthamoeba spp. is traditionally performed using axenic or monoxenic cultures. However, these methods have notable drawbacks, including the loss of virulence, reduced encystment capability, errors in bacterial inoculation, and time-consuming procedures. To address these limitations, nanotechnological approaches have been proposed. Nanotechnology offers innovative solutions for developing new drug formulations and diagnosing, preventing, and treating various diseases.MethodsIn this study, we developed humic acid-coated magnetic nanocomposites capable of adhering to the cyst wall of Acanthamoeba spp. without causing damage. Experimental results demonstrated that these nanocomposites bind with high affinity to macromolecules on the cyst wall, facilitating the aggregation of parasites in the pellet. Additionally, biologically enriched leech saliva was incorporated into the culture medium to enhance the growth rate. Leech saliva provides a rich source of organic matter and bioactive molecules that promote cell division. The addition of leech saliva resulted in a significant increase in the growth rate of Acanthamoeba spp., with maximum growth density observed at 120 h.ResultsThese findings indicate that humic acid-coated magnetic nanocomposites and leech saliva -enriched culture media offer a promising alternative to conventional methods for the rapid and efficient cultivation of Acanthamoeba spp. Our study concludes that humic acid-coated magnetic nanocomposites effectively concentrate parasites, increasing their quantitative density, while leech saliva provides a nutrient-rich environment that stimulates trophozoite feeding and division.ConclusionThis study is noteworthy for presenting an innovative and effective method for the rapid laboratory cultivation and potential treatment of Acanthamoeba spp.