bluuebunny/crossref_metadata_2025 huggingface dataset:
An Improved Adam’s Algorithm for Stomach Image Classification
Authors: Sun Haijing , Yu Hao , Shao Yichuan , Wang Jiantao , Xing Lei , Zhang Le , Zhao Qian
Published: June 2024

Current stomach disease detection and diagnosis is challenged by data complexity and high dimensionality and requires effective deep learning algorithms to improve diagnostic accuracy. To address this challenge, in this paper, an improved strategy based on the Adam algorithm is proposed, which aims to alleviate the influence of local optimal solutions, overfitting, and slow convergence rates by controlling the restart strategy and the gradient norm joint clipping technique. This improved algorithm is abbreviated as the CG-Adam algorithm. The control restart strategy performs a restart operation by periodically checking the number of steps and once the number of steps reaches a preset restart period. After the restart is completed, the algorithm will restart the optimization process. It helps the algorithm avoid falling into the local optimum and maintain convergence stability. Meanwhile, gradient norm joint clipping combines both gradient clipping and norm clipping techniques, which can avoid gradient explosion and gradient vanishing problems and help accelerate the convergence of the optimization process by restricting the gradient and norm to a suitable range. In order to verify the effectiveness of the CG-Adam algorithm, experimental validation is carried out on the MNIST, CIFAR10, and Stomach datasets and compared with the Adam algorithm as well as the current popular optimization algorithms. The experimental results demonstrate that the improved algorithm proposed in this paper achieves an accuracy of 98.59%, 70.7%, and 73.2% on the MNIST, CIFAR10, and Stomach datasets, respectively, surpassing the Adam algorithm. The experimental results not only prove the significant effect of the CG-Adam algorithm in accelerating the model convergence and improving generalization performance but also demonstrate its wide potential and practical application value in the field of medical image recognition.
Expanding the Demand–Resource Model by an Anthropo-Organizational View: Work Resilience and the “Little Prince” and the “Self-Accountant” Approach
Authors: Modarelli Giuseppe , Rainero Christian
Published: June 2024

The authors’ intention is to conduct an analysis utilizing a purely conceptual, literary content-based investigation of two hermeneutical dimensions associated with work motivation in the public service sector. Specifically, the study focuses on public school teachers in the Italian context due to the neglected way in which they matured in literary production and the hostile work environment brought about by the numerous reforms in a kind of heterogenesis of ends. Through the use of aphorisms and metaphors, after a literature review, gap identification and a content-based analysis, the authors aim to identify an approach that can anthropologically serve as a synthesis formula for workers who are emotionally and intensely invested in their professional practice. Specifically, this includes professions, including educational ones, that are subjected to high exposure to emotional labor (EL). The authors have identified two dimensions: one oriented towards the concept of gift and the other towards possession for integrating the demand–resource model (DRM). To support this analysis, the seminal research work of Belk will be utilized as a reference in the wide range of literary production on the give-and-take approach, according to Schaufeli and Grant. Furthermore, empirical data from previous research will be used to functionally explain how sense-making, when combined with the dynamics of gift–possession, can act as a factor of resilience for professions that hold significant emotional value. In this way, the authors shape a perspective on the theoretical paradigm toward the performance measurement and management system under the lens of New Public Management reform, considering the grand challenges inherent in the educational area by identifying organizational behavioral levers for justifying high motivation-driven actions in an underestimated job segment. In this way, the greatest contribution lies in the possibility of defining a reference framework to expand the DRM in application to the clarification of the foundations inherent in resilience behaviors implemented by educational professions in the specific reference context. The main result would precisely be the ability of the latter to cope with hostile contexts through the dynamics of gift and possession that promote work resilience through the attribution of meaning and identity to the job. These perspectives are useful for deepening the understanding of performance measurement and management approaches.
Social Media, Online Gaming, and Cyberbullying during the COVID-19 Pandemic: The Mediation Effect of Time Spent Online
Authors: Marinoni Carlo , Rizzo Marco , Zanetti Maria Assunta
Published: June 2024

During the COVID-19 pandemic, young people have become overexposed to social media and online gaming, making them more vulnerable to online violence such as cyberbullying. The aim of this study was to determine whether social media and online gaming pose a risk for cyberbullying through time spent online and whether there is a sex that is more vulnerable to this phenomenon. The survey included a sample of 4338 students (52.4% girls; age range, 11–19 years, M 14.1 SD 1.6) attending lower and upper secondary schools. Multiple moderated mediation regression models by sex were conducted, showing a relationship between social media and online gaming, time spent online outside of school, and cyberbullying. The results show that young girls are at higher risk of cyberbullying via social media, and boys are at higher risk of cybervictimization through online gaming. The findings may encourage other researchers to study the phenomenon, taking into account the role of parents and other educators.
How Do Creativity and Social Support Affect the Resilience of Mediterranean University Students? A Cross-National Study in the Post-Pandemic Period
Authors: De Lorenzo Aurelia , García Trinidad , Areces Débora , Rabaglietti Emanuela
Published: June 2024

After the spread of the COVID-19 pandemic, several articles have described the fragility of young adults, such as students, highlighting the severity, frequency, and nature of mental distress. However, less research has examined the resources of young people, such as their creative competence and their ability to draw on a social network. Furthermore, the analysis of these resources is not very common in international comparative studies. The main aim of this cross-national study is to investigate whether creativity factors such as creative personality and divergent thinking together with social support predict resilience in college students, controlling for gender and nationality, in a sample of college students from Italy and Spain, European Mediterranean countries particularly affected by the pandemic. The following instruments were used to measure these constructs: The Creative Personality Scale, the Runco Ideational Behavior Scale, the Multidimensional Scale of Perceived Social Support, and the Connor Davidson Resilience Scale. A total of 287 college students participated, 147 from Italy and 140 from Spain, with an average age of 22 years. The results show that there are statistically significant differences between Italian and Spanish students for all variables except resilience. The hierarchical regression shows that divergent thinking and social support are predictors of resilience for the whole sample. In light of these results, it may be important for universities to continue investing in divergent thinking and social support through workshops and activities to promote student resilience.
Summary of Lunar Constellation Navigation and Orbit Determination Technology
Authors: Zhang Xiao , Sun Zhaowei , Chen Xiao , Pan Linxin , Zhong Yubin
Published: June 2024

The Moon is the closest celestial body to the Earth. Its rich unique resources are an important supplement to the Earth’s resources and have a profound impact on the sustainable development of human society. As large-scale exploration missions gradually progress, demands for communication, navigation, surveying and other services of lunar-space probes have significantly increased. Constellation navigation and orbit determination technology will become an indispensable part of future lunar exploration infrastructure. This article systematically analyzes the current status of lunar relay navigation satellite networks at home and abroad, summarizes the technical principles of single-satellite and constellation navigation and orbit determination, discusses the technical difficulties in lunar navigation constellation orbit determination and navigation, and analyzes possible solutions. Finally, the development trend of research on high-precision orbit determination and navigation methods for lunar navigation constellations is proposed.
Comprehensive Measurement of Position and Velocity in the Transverse Direction Using the Crab Pulsar
Authors: Feng Yuan , Zhang Huanzi , Chen Jianfeng , Liu Jin , Ma Xin
Published: June 2024

Traditional X-ray pulsar ranging and velocity measurement methods only estimate the radial position and velocity information of the pulsar. For non-linear orbits, errors in the transverse position and velocity of the pulsar lead to errors in the radial velocity of the pulsar, leading to distortion of the X-ray pulsar profile. Based on this, we propose using the distortion of the pulsar profile to infer the transverse position and velocity information of the pulsar. First, a model of the distortion of the pulsar profile due to errors in the transverse position and velocity is established, and the observable directions of the transverse position and velocity are given separately. Then, considering that the distortions in the pulsar profile caused by errors in the transverse position and velocity are indistinguishable, we establish a reactive motion state measure related to the observable directions for the transverse position and velocity errors as a new observable measure in X-ray pulsar navigation. The experimental results show that the precision of the reactive motion state measure reaches 0.57, equivalent to a position error of 284.50 m or a velocity error of 0.57 m/s.
An Efficient Analysis Method of Aluminum Alloy Helicopter Fuselage Projectile Damage Based on Projectile Breakdown Theory
Authors: Xing Xiaobing , Tan Jianfeng , Yang Yuxiao , Yong Tian , Yu Linjun , Zhou Yun
Published: June 2024

The shape and structure of helicopter fuselage are complex, and it is difficult for a finite element method (FEM) to investigate helicopter fuselage projectile damage in a multi-projectile environment. An efficient analysis method for helicopter fuselage projectile damage is then proposed by coupling the projectile breakdown theory, which is derived from the existing empirical formula for penetrating ductile metals, and the model of projectile impact. Then, the characteristics of the helicopter fuselage impact coordinate, residual velocity, and fuselage damage area under a multi-projectile attack are investigated. The results show that the predicted residual velocities agree with the experiments. The maximum errors of the residual velocity and the fuselage damage area are 4.7% and 9.56%, respectively. Compared with the FEM, the computational time of the proposed method is reduced by 92.1%, and its efficiency is obviously improved. As the incidence angle increases, the residual velocity decreases, and the damage area increases. When the incidence angle of the projectile body is large, the projectile body cannot penetrate the surface of the fuselage, resulting in flume skid damage and a large area of damage.
Impact of Selected Plant Extracts on Winter Wheat (Triticum aestivum L.) Seedlings: Growth, Plant Health Status and Soil Activity
Authors: Kursa Weronika , Jamiołkowska Agnieszka , Skwaryło-Bednarz Barbara , Kowalska Grażyna , Gałązka Anna
Published: June 2024

The aim of the study was to assess the impact of plant extracts from hemp inflorescences (H10—10% and H20—20%), as well as a mixture of extracts from hemp inflorescences, sage, and tansy leaves (M10—10% and M20—20%) on phytotoxicity and selected physiological and biometric parameters of wheat seedlings, as well as the biological activity of soil in a growth chamber experiment. In all experimental combinations, a low phytotoxicity of the extracts was observed in the form of leaf tip yellowing, classified as first-degree damage or its complete absence. The plant extracts and their mixtures, except for the H20 extract, had an inhibitory effect on the development of fungal pathogens, especially Fusarium spp. The H20 extract increased the fresh and dry weight of root seedlings. The tested extracts also had a positive effect on the chlorophyll content in seedlings. The highest chlorophyll concentrations were recorded for the seedlings sprayed with the M20 extract mixture. The applied plant extracts influenced the activity of soil enzymes. The highest activity of catalase and dehydrogenases was observed after spraying seedlings with M20, while the lowest was recorded after applying H10. Of all the tested groups of soil environment compounds included in the Biolog EcoPlates test, carbohydrates and carboxylic acids were most actively utilized. Conversely, amines and amides constituted the group of compounds utilized the least frequently. The present study demonstrated the high effectiveness of plant extracts on wheat seedlings due to their biocidal action against phytopathogenic fungi and increased biological activity of the soil. This research serves as an initial phase of work, which will aim to verify the results obtained under field conditions, as well as assess the biological stability of the extracts.
Deposition of Water and Emulsion Hollow Droplets on Hydrophilic and Hydrophobic Surfaces
Authors: Gong Chen , Jia Feng , Kang Can
Published: June 2024

The deposition of spray droplets is a hot topic in the field of plant protection. The air-induction nozzle, which is commonly used in agricultural spray, can produce droplets containing bubbles. However, few studies have addressed the deposition of hollow droplets. In the present study, we used experimental and numerical methods to investigate the deposition of hollow droplets. Three kinds of liquid—water, oil-based emulsion and organosilicon—were used to produce hollow droplets, and the diameter of droplets varied from 3 to 4.5 mm. Both hydrophilic and hydrophobic surfaces were selected as deposition targets. The results show that the deposition of hollow droplets can generate a central jet, which is similar to the Wortington jet. High deposition velocity and the large bubble volume were responsible for the large attainable height of the central jet. On the hydrophilic surface, for water hollow droplets with Weber number (We) ranging from 350 to 391, the central jet began to break up as the bubble fraction of the hollow droplet reached 0.15. Based on the numerical results, it was found that the internal pressure difference between the bottom liquid and the air cavity leads to the formation of the central jet. The bubble volume and impact velocity were both positively correlated with the internal pressure difference. The oil-based emulsion promoted the adherence of the hollow droplet by lubricating the hydrophobic surface. The oil-based emulsion hollow droplets shifted from rebounding to adhering on the hydrophobic surface as the emulsion concentration reached 0.4%.
WH-DETR: An Efficient Network Architecture for Wheat Spike Detection in Complex Backgrounds
Authors: Yang Zhenlin , Yang Wanhong , Yi Jizheng , Liu Rong
Published: June 2024

Wheat spike detection is crucial for estimating wheat yields and has a significant impact on the modernization of wheat cultivation and the advancement of precision agriculture. This study explores the application of the DETR (Detection Transformer) architecture in wheat spike detection, introducing a new perspective to this task. We propose a high-precision end-to-end network named WH-DETR, which is based on an enhanced RT-DETR architecture. Initially, we employ data augmentation techniques such as image rotation, scaling, and random occlusion on the GWHD2021 dataset to improve the model’s generalization across various scenarios. A lightweight feature pyramid, GS-BiFPN, is implemented in the network’s neck section to effectively extract the multi-scale features of wheat spikes in complex environments, such as those with occlusions, overlaps, and extreme lighting conditions. Additionally, the introduction of GSConv enhances the network precision while reducing the computational costs, thereby controlling the detection speed. Furthermore, the EIoU metric is integrated into the loss function, refined to better focus on partially occluded or overlapping spikes. The testing results on the dataset demonstrate that this method achieves an Average Precision (AP) of 95.7%, surpassing current state-of-the-art object detection methods in both precision and speed. These findings confirm that our approach more closely meets the practical requirements for wheat spike detection compared to existing methods.
Design of and Experimentation with a Suction-Based Pest-Capture Machine for the Tea Pest Empoasca vitis
Authors: Han Yu , Song Zhiyu , Yi Wenyu , Zhan Caixue
Published: June 2024

To investigate an effective physical pest control method for tea trees, we designed and manufactured a suction-based pest-capture machine (hereafter labeled the “pest vacuum”) and conducted a test and field experiment to evaluate its effectiveness in the control of Empoasca vitis Göthe (E. vitis). Based on the proposed model, the minimum practical air velocity of the pest vacuum was 5.85 m s−1. The field experiment included two treatments and a blank control. In treatment 1, we used the pest vacuum along tea trees only once, while in treatment 2, the pest vacuum was used along trees twice, separately, in 2 consecutive periods, and with an interval of more than 30 min. The results show that a highly significant difference arose among the dropping rates of the two treatments and the blank control instantly after suction, a significant difference among the dropping rates 7 days later, and no significant difference 14 days later. The dropping rate and the effective rate of prevention of treatment 2 reached 81.87% and 80.60% instantly after suction. Moreover, the effective rate of prevention of nymphs was slightly higher than that of adults. Overall, the pest vacuum had a prominent, albeit short-term, effect on the control of E. vitis. Seven days after the suction, it is better to repeat the suction five days after the first suction. The pest vacuum provides a valid physical method for pest control, so more attention should be paid in future investigations to reducing the weight and working noise of the pest vacuum.
A Comprehensive Assessment of Rice Straw Returning in China Based on Life Cycle Assessment Method: Implications on Soil, Crops, and Environment
Authors: Tang Zeyu , Zhang Xiaoyu , Chen Ruxin , Ge Chaomin , Tang Jianjun , Du Yanqiang , Jiang Peikun , Fang Xiaobo , Zheng Huabao , Zhang Cheng
Published: June 2024

Straw returning has been shown to improve farmland soil, increase crop yield, and reduce global warming. This study investigated the models of six rice straw-returning techniques based on the life cycle assessment method. Compared to the direct modes, the indirect ones showed a greater environmental impact; up to 20.56 times in acidification and emission potentials. There was no significant difference in climate change among the six types. Except for the burning effect, all other modes showed improvement in soil fertility; phosphorus and organic matter content increased by 66.66% and 30.85%, respectively, microbial biomass carbon content doubled (105%), the four organic carbon components increased by >50%, crop morbidity was reduced, and diversity of soil fungus was improved. Feeding, as an indirect method for enhancing soil fertility and economic benefits, is set to emerge as a leading practice in China’s straw management. However, straw-returning technology is limited by cost, greenhouse gases, and increased risk of diseases and pests. There is an urgent need for further improvement and development of carbon sequestration and emission reduction in China’s agriculture.
Identification of Fusarium spp. Associated with Chickpea Root Rot in Montana
Authors: Moparthi Swarnalatha , Perez-Hernandez Oscar , Burrows Mary Eileen , Bradshaw Michael J. , Bugingo Collins , Brelsford Monica , McPhee Kevin
Published: June 2024

Root rot caused by Fusarium spp. is a significant issue in the chickpea-growing regions of Montana. The specific Fusarium species responsible for the disease and their prevalence remain uncertain. A survey was conducted in 2020 and 2021 to identify Montana’s Fusarium species associated with chickpea. Four hundred and twenty-six Fusarium isolates were recovered from symptomatic chickpea roots across ten counties in the state. Isolates were identified by comparing translation elongation factor 1-α (TEF1-α) sequences in the FUSARIUM-ID database. Among the recovered isolates, Fusarium oxysporum was the most prevalent species (33%), followed by F. acuminatum (21%), F. avenaceum (15%), F. redolens (14%), F. culmorum (6%), F. sporotrichioides (6%), Neocosmospora solani (6%), F. equiseti (2%), F. torulosum (0.9%), F. gamsii (0.8%), F. proliferatum (0.2%), F. pseudograminearum (0.2%), and F. brachygibbosum (0.1%). The aggressiveness of a subset of 51 isolates representing various Fusarium spp. was tested on chickpea cv. ‘CDC Frontier’. A non-parametric variance analysis conducted on disease severity ranks indicated that F. avenaceum isolates were highly aggressive. This study reports for the first time that F. gamsii, F. proliferatum and F. brachygibbosum are causal agents of root rot in chickpea in the United States. This knowledge is invaluable for making informed decisions regarding crop rotation, disease management, and developing resistant chickpea varieties against economically significant Fusarium pathogens.
Controlled Traffic Farm: Fuel Demand and Carbon Emissions in Soybean Sowing
Authors: Martins Murilo Battistuzzi , Marques Filho Aldir Carpes , Seron Cássio de Castro , Guimarães Júnnyor Wellingthon da Silva , Vendruscolo Eduardo Pradi , Bortolheiro Fernanda Pacheco de Almeida Prado , Blanco Bertolo Diego Miguel , Lopes Arthur Gabriel Caldas , Santana Lucas Santos
Published: June 2024

Soil compaction between crop rows can increase a machine’s performance by reducing rolling resistance and fuel demand. Controlled Traffic Farm (CTF) stands out among modern techniques for increasing agricultural sustainability because the machines continuously travel along the same path in the field, reducing plant crush and compacting the soil in the traffic line. This study evaluated fuel consumption and CO2 emissions at different CTF intensities in different soil management strategies for soybean crop. The experimental design involved randomized blocks in a split-plot scheme with four replications. The plots constituted the three types of soil management: conventional tillage, no-tillage with straw millet cover, and no-tillage with brachiária straw cover. The subplots constituted for agricultural tractors were passed over in traffic lines (2, 4, and 8 times). We evaluated agricultural tractor fuel consumption, CO2 emissions, and soybean productivity. The straw cover and tractor-pass significantly affected the fuel consumption and greenhouse gas emissions of the soybean cultivation. Fuel consumption and CO2 emissions were reduced due to the machine-pass increase, regardless of soil management. Thus, a CTF reduces rolling resistance and increases crop environmental efficiency. Bare-soil areas increased by 20.8% and 27.9% with respect to fuel consumption, compared to straw-cover systems. Brachiária straw and millet reduce CO2 emissions per hectare by 20% and 28% compared to bare soil. Lower traffic intensities (two passes) showed (13.72%) higher soybean yields (of 4.04 Mg ha−1). Investigating these effects in other types of soil and mechanized operations then becomes essential.
Effect of Defoliation on Growth, Yield and Forage Quality in Maize, as a Simulation of the Impact of Fall Armyworm (Spodoptera frugiperda)
Authors: Tashiro Kouki , Ishitani Midori , Murai Saaya , Niimi Mitsuhiro , Tobisa Manabu , Idota Sachiko , Adachi-Hagimori Tetsuya , Ishii Yasuyuki
Published: June 2024

This study assesses the impact of defoliation applied to three developmental stages across three cropping seasons from 2021 to 2023 on growth, yield and forage quality in maize. The experimental design included three treatments: defoliation of three expanded leaves at the 3rd–4th leaf stage (DF1), the 5th–6th expanded leaves by leaf punch (DF2) and expanding leaves with the DF2 treatment (DF3) at the 6th–7th leaf stages, compared with no defoliation (control). Over three years, the most significant decrease in dry matter (DM) yield occurred in DF1 during spring sowing, while in summer sowing, the largest reduction was in DF3, both of which were correlated with changes in the number of grains per ear. The DM yields at harvest were positively correlated with plant leaf areas at the silking stage. The digestibility of forage in in vitro DM decreased concomitantly with an increase in acid detergent fiber content, indicating a decrease in forage quality. Given the frequent severe damage observed in summer sown maize and the detrimental effects of early growth stage leaf feeding on quality and quantity of spring sown maize, the application of registered insecticides is advised to reduce pest damage to maize crops.
Performance of a UHF RFID Detection System to Assess Activity Levels and Lying Behaviour in Fattening Bulls
Authors: Fromm Kay , Heinicke Julia , Ammon Christian , Amon Thomas , Hoffmann Gundula
Published: June 2024

Animal welfare strongly influences the health and performance of cattle and is an important factor for consumer acceptance. One parameter for the quantification of health status is the lying duration, which can be deployed for the early detection of possible production-related illnesses. Usually, 3D-accelerometers are the tool to detect lying duration in cattle, but the handling of bulls sometimes has special requirements because frequent manipulation in daily farming routines is often not possible. An ultrahigh-frequency (UHF) radio-frequency identification (RFID) system was installed in a beef cattle barn in Germany to measure the activity and lying time of bulls. Such UHF RFID systems are typically used for estrus detection in dairy cows via activity level, but can also be considered, for instance, as an early detection for lameness or other diseases. The aim of the study was to determine whether the estimations of activity level and lying duration can also be traced in husbandry systems for fattening bulls. Two groups of bulls (Uckermärker cattle, n = 10 and n = 13) of the same age were equipped with passive UHF RFID ear transponders. Three cameras were installed to proof the system and to observe the behaviour of the animals (standing, lying, and moving). Furthermore, accelerometers were attached to the hind legs of the bulls to validate their activity and lying durations measured by the RFID system in the recorded area. Over a period of 20 days, position (UHF RFID) and accelerometer data were recorded. Videos were recorded over a period of five days. The UHF RFID system showed an overall specificity of 95.9%, a sensitivity of 97.05%, and an accuracy of 98.45%. However, the comparison of the RFID and accelerometer data revealed residuals (ԑ) of median lying time (in minutes per day) for each group of ԑGroup1 = 51.78 min/d (p < 0.001), ԑGroup2 = −120.63 min/d (p < 0.001), and ԑGroup1+2 = −34.43 min/d (p < 0.001). In conclusion, UHF RFID systems can provide reliable activity and lying durations in 60 min intervals, but accelerometer data are more accurate.
Model Development for Identifying Aromatic Herbs Using Object Detection Algorithm
Authors: Antunes Samira Nascimento , Okano Marcelo Tsuguio , Nääs Irenilza de Alencar , Lopes William Aparecido Celestino , Aguiar Fernanda Pereira Leite , Vendrametto Oduvaldo , Fernandes João Carlos Lopes , Fernandes Marcelo Eloy
Published: June 2024

The rapid evolution of digital technology and the increasing integration of artificial intelligence in agriculture have paved the way for groundbreaking solutions in plant identification. This research pioneers the development and training of a deep learning model to identify three aromatic plants—rosemary, mint, and bay leaf—using advanced computer-aided detection within the You Only Look Once (YOLO) framework. Employing the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology, the study meticulously covers data understanding, preparation, modeling, evaluation, and deployment phases. The dataset, consisting of images from diverse devices and annotated with bounding boxes, was instrumental in the training process. The model’s performance was evaluated using the mean average precision at a 50% intersection over union (mAP50), a metric that combines precision and recall. The results demonstrated that the model achieved a precision of 0.7 or higher for each herb, though recall values indicated potential over-detection, suggesting the need for database expansion and methodological enhancements. This research underscores the innovative potential of deep learning in aromatic plant identification and addresses both the challenges and advantages of this technique. The findings significantly advance the integration of artificial intelligence in agriculture, promoting greater efficiency and accuracy in plant identification.
Autonomous Driving Strategy for a Specialized Four-Wheel Differential-Drive Agricultural Rover
Authors: Martelli Salvatore , Mocera Francesco , Somà Aurelio
Published: June 2024

Recently, the agriconstruction machinery sector has been involved in a great technological revolution. The reasons that may explain this are strictly connected to the mitigation of climate change. At the same time, there is a necessity to ensure an adequate production level in order to meet the increasing food demand due to the current population growth trend. In this context, the development of autonomously driven agricultural vehicles is one of the areas on which tractor manufacturers and academics are focusing. The fundamental prerequisite for an autonomous driving vehicle is the development of an appropriate motion strategy. Hence, the vehicle will be able to follow predetermined routes, accomplishing its missions. The aim of this study was the development of path-planning and path-following algorithms for an agricultural four-whee differential-drive vehicle operating in vineyard/orchard environments. The algorithms were completely developed within the MATLAB software environment. After a brief description of the geometrical characteristics of the vehicle, a parametric process to build a virtual orchard environment is proposed. Then, the functional principles of the autonomous driving algorithms are shown. Finally, the algorithms are tested, varying their main tuning parameters, and an indicator to quantify the algorithms’ efficiency, named relative accuracy, is defined. The results obtained show the strong dependence between the relative accuracy and lookahead distance value assigned to the rover. Furthermore, an analysis of rover positioning errors was performed. The results in this case show a lower influence of the location error when the accuracy of the positioning device is within 2 cm.
Isolation and Characterization of Native Isolates of Metarhizium sp. as a Biocontrol Agent of Hypothenemus hampei in Rodríguez de Mendoza Province—Peru
Authors: Oliva-Cruz Manuel , Altamirano-Tantalean Miguel A. , Chuquizuta-Torres Reyna , Oliva-Cruz Carlos , Maicelo-Quintana Jorge L. , Leiva-Espinoza Santo T. , Culqui Lorenzo , Mendez-Fasabi Lizette Daniana , Rojas Ventura Heidel Marcelo , Corazon-Guivin Mike Anderson , Juarez-Contreras Lily
Published: June 2024

Entomopathogenic fungi represent the pinnacle of efficacy among biological control agents when combating insect pests within natural ecosystems, combating them without altering the environment. This study aimed to isolate and characterize the morphology, physiology, and pathogenicity of native isolates of Metarhizium sp. isolated from soil samples from the province of Rodriguez de Mendoza. Eighteen native isolates of Metarhizium sp. were isolated and characterized. Colony coloration varied between yellow-gray, white, brown, and olive, with feathery or wavy edges. As for radial growth, the highest averages were obtained by isolates LLM-M2 and TOR-M16, with 43.15 mm and 42.85 mm, respectively. Conidia production at 15 days was higher for isolate LLM-M2 with 9.8 × 107 conidia/mL; in the percentage of germination at 14 h, the treatment that reached 100% germination was TOR-M16. Isolate CMR-M7 reached 97.49% mycelial growth percentage at 288 h, being the best result; in the percentage of mortality in CBB adults, the treatments that reached 100% were TOR-M9, TOR-M16, and MNR-M1. In general, the results demonstrate the entomopathogenic potential of native isolates of Metarhizium sp. acting as biocontrol agents of Hypothenemus hampei, being a low-cost, easily accessible, and environmentally friendly alternative.
High-Quality Complete Genome Resource for Dickeya dadantii Type Strain DSM 18020 via PacBio Sequencing
Authors: Cheng Yi , Xu Jianping , Song Zhiqiang , Li Wenting , Li Jiayang , Xu Zhecheng , Chen Fengming , Qiu Huajiao , Wang Tuhong
Published: June 2024

Dickeya dadantii is a common pathogen of bacterial soft rot on a wide range of plants, including several crops. In this study, we present the complete genome sequence of the D. dadantii type strain DSM18020T. The genome was assembled using PacBio technology, resulting in a 4,997,541 bp circular chromosome with a G+C content of 56.5%. Our sequence analyses predicted 4277 protein-encoding genes, including several associated with known bacterial virulence factors and secondary metabolites. Comparative genomics analysis between Dickeya revealed that the category of ‘metabolism’ is the most important in both the core and accessory genomes, while the category of ‘information storage and processing’ is the most dominant in unique genomes. These findings will not only help us to understand the pathogenic mechanisms of D. dadantii DSM18020T, but also provide us with useful information for new control strategies against this phytopathogen.
The Impact of Continuous Cropping on Phenolic Acids in Muskmelon Soil and the Colonization of Trichoderma viride
Authors: Yang Ruixiu , Liu Bo , Teng Ao , Zhang Lu , Wang Hongling , Yang Zhijuan , Li Jinshi , Xia Yingjun , Wang Jiaqing
Published: June 2024

The obstacle associated with continuous cropping is an important problem in the production of muskmelon (Cucumis melo L.). The allelochemicals from root exudates play an active role in root–microbe communication. The primary objective of this study was to delve into the impact of root exudates and the continuous cultivation of muskmelon on the growth and colonization patterns of Trichoderma viride T23. It was observed that the root exudates of muskmelon significantly promoted mycelial growth and the sporulation of Trichoderma viride T23 at concentrations of 0.05, 0.1 g·mL−1, while at a concentration of 0.05 g·mL−1, the enzyme activities of β-glucosidase, chitinase and cellulase were 12.34, 13.23, and 17.85 U·mL−1, respectively, which were higher than those of the control. With increasing concentrations of root exudates, the hyphal growth, spore germination, and the three enzyme activities of Trichoderma viride T23 were decreased. The findings from the pot experiments revealed that the total phenolic acid content in the soil of replanted muskmelon demonstrated a trend of escalating over the course of the first growth cycle of continuous cropping to the fourth growth cycle of continuous cropping. The population density in the rhizosphere soil of Trichoderma viride T23 in the first growth cycle and the second growth cycle of continuous cropping shows a significant difference compared with other treatments, which led to statistically significant increments of stem diameter, leaf area, fresh weight, dry weight and SPAD index. It is necessary to increase the dose of the beneficial microorganism or degrade the phenolics in the rhizosphere soil to promote effectiveness while increasing the growth cycles of continuous cropping.
Expounding the Effect of Harvest Management on Rice (Oryza sativa L.) Yield and Latent Loss Based on the Accurate Measurement of Grain Data
Authors: Wang Yujia , Wu Wenfu , Xu Jie , Wang Yong , Wu Zidan , Liu Houqing
Published: June 2024

Due to the impact of global environment and climate change, determining how to ensure food production and reduce food loss has become an important research topic for many countries, especially developing countries, and can provide key information for China’s grain harvest management. This article mainly examines the impact of harvesting period on rice yield, the existence of latent losses, and their management value. From 2019 to 2022, our team conducted experiments on the growth curve of rice grains, plants, and populations to investigate the existence of latent losses by establishing the relationship between the standard moisture weight and the days after heading. The results showed that the weight of the rice gradually decreased as the harvest time was delayed, and there were latent losses, of which the dry matter loss was about 3.5%. With the addition of grain shattering loss, the latent loss rate was about 7.0%. In summary, if rice management is strengthened, including harvesting at the optimal time, 4.67% of the loss can be recovered. The timing of the harvest significantly impacts rice yield. Understanding the process and causes of new types of rice losses, increasing the basis for judging the timely harvest period, and providing the best management measures can prevent the post-harvest losses caused by traditional methods and increase the amount of fertile land available.
Alfalfa with Forage Crop Rotation Alleviates Continuous Alfalfa Obstacles through Regulating Soil Enzymes and Bacterial Community Structures
Authors: Xu Yanxia , Liu Zhuxiu , Shen Zhongbao , Yang Zhao , Fu Xuepeng , Wang Xiaolong , Li Shasha , Chai Hua , Wang Ruoding , Liu Xiaobing , Liu Junjie
Published: June 2024

Alfalfa is a perennial herbaceous forage legume that is significantly and adversely affected by monocropping. Crop rotation is the most effective measure to overcome continuous cropping obstacles. However, the mechanisms of how bacterial communities are affected and the potential links between these effects and cropping systems remain poorly understood. Based on a long-term field experiments with continuous alfalfa and forage crops with alfalfa rotation in the black soil region of the western Songnen Plain in Northeast China, the alterations in soil bacterial community structure using high-throughput sequencing of the 16S rRNA gene and soil chemical properties and enzyme activities were analyzed. The alfalfa–forage oats–silage maize–alfalfa and alfalfa–silage maize–forage oats–alfalfa system significantly increase the levels of total phosphorus and available phosphorus, and promote the activities of acid phosphatase, β-glucosidase, leucine aminopeptidase, and N-acetyl-β-glucosaminidase in comparison to continuous alfalfa. While alfalfa crop rotation did not affect the α-diversity of soil bacteria, it significantly altered the bacterial community composition and structure. Some key taxa are significantly enriched in the crop rotation system soils, including Bacillus, Sphingobium, Paenibacillus, Hydrogenispora, Rubrobacter, Haliangium, and Rubellimicrobium. Additionally, crop rotation with alfalfa increased the stability and complexity of the soil bacterial co-occurrence network. Based on our findings, we recommend promoting the alfalfa–forage oats–silage maize–alfalfa and alfalfa–silage maize–forage oats–alfalfa rotation systems as ideal practices for overcoming the challenges associated with continuous cropping of alfalfa. These systems not only enhance soil nutrient content and enzyme activities but also foster a beneficial microbial community, ultimately improving soil functionality and crop performance.
Minimally Distorted Adversarial Images with a Step-Adaptive Iterative Fast Gradient Sign Method
Authors: Ding Ning , Möller Knut
Published: June 2024

The safety and robustness of convolutional neural networks (CNNs) have raised increasing concerns, especially in safety-critical areas, such as medical applications. Although CNNs are efficient in image classification, their predictions are often sensitive to minor, for human observers, invisible modifications of the image. Thus, a modified, corrupted image can be visually equal to the legitimate image for humans but fool the CNN and make a wrong prediction. Such modified images are called adversarial images throughout this paper. A popular method to generate adversarial images is backpropagating the loss gradient to modify the input image. Usually, only the direction of the gradient and a given step size were used to determine the perturbations (FGSM, fast gradient sign method), or the FGSM is applied multiple times to craft stronger perturbations that change the model classification (i-FGSM). On the contrary, if the step size is too large, the minimum perturbation of the image may be missed during the gradient search. To seek exact and minimal input images for a classification change, in this paper, we suggest starting the FGSM with a small step size and adapting the step size with iterations. A few decay algorithms were taken from the literature for comparison with a novel approach based on an index tracking the loss status. In total, three tracking functions were applied for comparison. The experiments show our loss adaptive decay algorithms could find adversaries with more than a 90% success rate while generating fewer perturbations to fool the CNNs.
Use of Gabapentin or Alprazolam in Cats during Postoperative, Short-Term Hospitalization
Authors: Papageorgiou Virginia , Ververidis Charalampos , Mylonakis Mathios E. , Savvas Ioannis , Kazakos George
Published: June 2024

This prospective, randomized study aimed to assess the anxiolytic efficacy of gabapentin or alprazolam in cats during short-term postoperative hospitalization. Sixty cats were randomly assigned to three groups (gabapentin-treated [100 mg per cat], alprazolam-treated [0.125 mg per cat], or placebo-treated), with treatments administered twice daily for two days. Stress levels were evaluated using Cat Stress Scores, serum cortisol, and glucose concentrations. Pain scores, food consumption, and adverse effects such as sedation were also monitored. Fifty-five cats completed the study. Both medications demonstrated similar reductions in stress levels. Cats receiving gabapentin had lower pain scores, while those receiving alprazolam exhibited significantly increased food intake on the first postoperative day. However, both medications resulted in comparable levels of sedation. In the context of postoperative hospitalization, pharmacological intervention with anxiolytics could be effective in reducing stress levels. Despite potential side effects, gabapentin and alprazolam may contribute to an improved quality of short-term hospitalization for cats.
Exploring Hyperprolific Sows: A Study of Gross Morphology of Reproductive Organs and Oxytocin Receptor Distribution across Parities
Authors: Adi Yosua Kristian , Taechamaeteekul Preechaphon , Kesdangsakonwut Sawang , Tienthai Paisan , Kirkwood Roy N. , Tummaruk Padet
Published: June 2024

This study investigated the gross morphology of reproductive organs and oxytocin receptor distribution across different parities in hyperprolific sows. A total of thirty-two reproductive organs from Landrace × Yorkshire crossbred sows were categorized into three groups based on parity numbers: 1 (n = 10), 2–5 (n = 12), and ≥6 (n = 10). All sows were culled due to management problems, and none had reproductive disorders. A gross morphology examination of the ovaries, uterus, and the rest of the reproductive tract was conducted. Using immunohistochemistry, the levels of oxytocin receptor were evaluated in five layers of the uterus, the epithelial, superficial glandular, deep glandular, and circular and longitudinal smooth muscles of the myometrium, and were quantified using an H-score. On average, the age and body weight of sows and the total number of piglets born per litter were 799.8 ± 327.8 days, 213.2 ± 31.7 kg, and 15.5 ± 4.8, respectively. The numbers of ovulations in sows in parity number 1 (19.9 ± 2.4) were lower than those in sows in parity numbers 2–5 (29.7 ± 2.0, p = 0.004) and ≥6 (27.7 ± 2.1, p = 0.022). The uterine weights of sows in parity number 1 (902.9 ± 112.5 g) were lower than those of parity numbers 2–5 (1442.1 ± 111.8 g, p = 0.001) and ≥6 (1394.3 ± 125.1 g, p = 0.004). The length of the uterus in sows with parity number 1 (277.9 ± 26.1 cm) was shorter than those in sows with parity numbers 2–5 (354.6 ± 25.9 cm, p = 0.033) and tended to be shorter than those in sows with parity numbers ≥ 6 (346.6 ± 29.0 cm, p = 0.068). The immunolocalization of oxytocin receptors could be detected in various parts of the porcine endometrium and myometrium. Among the five tissue layers of the uterus, the H-score of oxytocin receptors in the deep uterine glands was greater than in the superficial uterine glands (p = 0.023) and the circular muscle layer of the myometrium (p = 0.011), but it did not differ from the epithelial layer of the endometrium (p = 0.428) or the longitudinal muscle layer of the myometrium (p = 0.081). Sows with parity numbers ≥ 6 had a lower oxytocin receptor H-score than those with parity numbers 1 (p < 0.001) and 2–5 (p < 0.001). In conclusion, these data emphasize the notable variations in several reproductive parameters and the levels of oxytocin receptor within the uterus of hyperprolific sows. Across the majority of uterine tissue layers, there was a marked decrease in the H-score of the oxytocin receptor in the older sows.
The Omentum—A Forgotten Structure in Veterinary Surgery in Small Animals’ Surgery
Authors: Morawska-Kozłowska Magdalena , Wilkosz Aleksandra , Zhalniarovich Yauheni
Published: June 2024

The greater and lesser omentum are derived from embryonic mesogastrium. The expansive greater omentum in dogs covers intestinal coils, while in cats, it is smaller. Comprising distinct portions, the greater omentum is rich in lymphatics and blood vessels. Conversely, the lesser omentum spans the liver, stomach, and duodenum. Studies on canine omentum reveal unique immune cell composition and regenerative potential attributed to adipose tissue-derived stromal cells (ADSCs). These cells hold promise in regenerative medicine, showing enhanced abilities compared with ADSCs from other sources. The omentum is critical in tissue repair and pathology, making it invaluable in veterinary surgery across various medical fields. The aim of this article was to research current knowledge about the applications of the omentum in veterinary surgery and the possibilities of using this structure in the future.