Agricultural Research最新文献

{"title":"Dielectric Spectroscopy: Process and Quality Monitoring of Dairy Products: A Review","authors":"Khushbu Kumari,&nbsp;Subir Chakraborty,&nbsp;Anand Kishore,&nbsp;Hima John,&nbsp;Chitranayak Sinha","doi":"10.1007/s40003-025-00840-z","DOIUrl":"10.1007/s40003-025-00840-z","url":null,"abstract":"<div><p>Ignoring quality standards in dairy and food industry can lead to financial and health problems in the face of today's strict legislation and growing customer awareness. The nutrient dense nature, perishability and wide popularity of dairy-based foods make them prone to adulteration and compromise in quality. High-performing systems at every stage of the production chain in dairy industry have become more prevalent in the food sector as a lookout for solutions. Dielectric spectroscopy is a high-performing sensor-based technology which is gaining popularity because of their ability to monitor, analyse and diagnose fault of various agricultural, food and dairy products. This paper attempts to fully explore basic principle of dielectric spectroscopy, the various factors influencing the dielectric parameters of milk and dairy products, and the findings of studies in which dielectric spectroscopy was used for quality assessment and monitoring of dairy processing. A summary of current research in this area is presented along with some comments on recent developments to provide a collection of recent data in order to make experimental data available as a valuable reference for more studies and applications.</p></div>","PeriodicalId":7553,"journal":{"name":"Agricultural Research","volume":"14 1","pages":"47 - 69"},"PeriodicalIF":1.4,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143570980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AgriDrones: A Holistic Review on the Integration of Drones in Indian Agriculture","authors":"Vishwajeet Ramesh Avhale,&nbsp;G. Senthil Kumar,&nbsp;R. Kumaraperumal,&nbsp;G. Prabukumar,&nbsp;C. Bharathi,&nbsp;R. Sathya Priya,&nbsp;M. Yuvaraj,&nbsp;D. Muthumanickam,&nbsp;P. Parasuraman,&nbsp;S. Pazhanivelan","doi":"10.1007/s40003-024-00829-0","DOIUrl":"10.1007/s40003-024-00829-0","url":null,"abstract":"<div><p>Modern technologies in the agricultural sector present tremendous opportunities to increased farm profitability and productivity. To achieve this, it is necessary to identify suitable solutions and ways to meet agricultural needs and requirements. This may be done by increasing production and finding rapid solutions for common issues that arise in production and have an impact on the agricultural economy. Drone usage for precision agriculture has grown dramatically in the recent years. Since drones can collect data specific to a certain site and assess crop health, they are helpful in precision agriculture. Drone technology helps in preserving soil fertility, reduces overuse of water and pesticides and herbicides, increases productivity and enhances quality, while also assisting in the efficient use of human labour. Aerial seeding and spraying are two uses of drone technology that can help to overcome manpower and cost constraints associated with manual labour. Even though there are some constraints of using drones, drone market will grow as their new applications are realized. This paper provides an extensive overview of the types, construction and applications of drones in agriculture. It also points out the potential advantages of drones in this field and calls for cooperation to overcome obstacles and realize the full potential of precision farming on a worldwide scale.</p></div>","PeriodicalId":7553,"journal":{"name":"Agricultural Research","volume":"14 1","pages":"34 - 46"},"PeriodicalIF":1.4,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143570984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving On-farm Energy Use Efficiency by Optimizing Machinery Operations and Management: A Review","authors":"Troy A. Jensen,&nbsp;Diogenes L. Antille,&nbsp;Jeff N. Tullberg","doi":"10.1007/s40003-024-00824-5","DOIUrl":"10.1007/s40003-024-00824-5","url":null,"abstract":"<div><p>The energy use and emissions from direct fossil fuel combustion on-farms to power farm machinery was critically reviewed. Approximately, 15% of agricultural production costs on-farm are energy-related. A potential solution to more sustainable energy use is a shift toward biofuels from renewable resources. The reduction of greenhouse gas emissions through the substitution of diesel oil with biodiesel depends on the feedstock, the inter-esterification process, the storage period, and ambient conditions. In modern tractors, increased fuel use efficiency (or reduced fuel consumption) has been achieved by power/load matching and the use of variable transmission. Engine management systems that are capable of continuously communicating with the engine and transmission to make appropriate adjustments based on inputs received from the tractor allow for quick and precise responses to changing conditions. As a result, maximum efficiency and productivity can be obtained from the tractor operating similarly to the traditional ‘gear-up and throttle-back’ methods of a proficient operator. The future for autonomous tractors is promising, though not new. Electric-powered tractors are near to commercialization or are already commercially available. Hybrid electric driven tractors present some advantages in terms of increased energy use efficiency and functionalities. Increased efficiency can lead to a reduction in diesel fuel consumption and hence, a concurrent decrease in CO₂ emission. Where the local electricity supply has a low-carbon emission factor, this can also result in significant emission reductions. Small light-weight robotic equipment can potentially perform functions currently undertaken by tractor-drawn and other heavy equipment with high-fuel consumption, provided field operating capacity was not compromised. However, the size and weight limitations inherent in current harvesting and transport technology mean that soil compaction will still be a problem with robotic units. The robotic operation of medium-scale equipment within a precision-controlled traffic farming environment should offer more feasible and energy-efficient alternatives.</p></div>","PeriodicalId":7553,"journal":{"name":"Agricultural Research","volume":"14 1","pages":"15 - 33"},"PeriodicalIF":1.4,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40003-024-00824-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143571122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of Variations of Experimental Conditions and Methods on the Quantification of Nitrous Oxide (N2O) Emissions in Sugarcane: a Meta-Analysis","authors":"Manuel C. Valencia-Molina,&nbsp;Jorge Chalco-Vera","doi":"10.1007/s40003-024-00796-6","DOIUrl":"10.1007/s40003-024-00796-6","url":null,"abstract":"<div><p>Quantifying and analyzing nitrous oxide (N₂O) emissions from sugarcane-cultivated soils is a priority issue due to its potential role in climate change in the coming decades. However, understanding the impact of this crop on global N₂O emissions is complicated by the variety of experimental conditions and methods used to quantify these emissions. This study aimed to determine the influence of experimental conditions and methodological approaches on quantifying of N₂O emissions in soils used for sugarcane production. For this purpose, a meta-analysis of quantitative information on this topic, and published-online up to December 2020 was performed. The average daily N₂O emission rate calculated in this research was higher than similar studies and the differences were attributed to methodological differences with these references. In addition, results showed that variables associated with sampling and gas concentration measurement had no significant effects on daily mean N₂O emissions. The evaluation period, soil texture, and the management of synthetic N sources and application rates were the main variables affecting N₂O emissions. Among the important sugarcane-producing countries United States and India had significantly higher daily mean N₂O emission (4.5 ± 1.4 and 3.08 ± 0.08 mg N₂O–N m⁻² d⁻¹, respectively) than the global average (1.98 ± 0.4 mg N₂O–N m⁻² d⁻¹). High N₂O emissions were widely documented in coarse or intermediate-texture soils. It is recommended that to reduce the uncertainty associated with the estimation of cumulative N₂O emissions the monitoring of N₂O emissions should include multiple complete growing seasons and include high sampling frequency around the main management practices. The strategies to reduce emissions should focus on the exploration of alternative N fertilizers to urea in sub-traditional doses for sugarcane areas with coarser textured soils. This work provides an important reference framework for the design and development of future research focused on the assessment of N₂O mitigation options for sugarcane.</p></div>","PeriodicalId":7553,"journal":{"name":"Agricultural Research","volume":"14 1","pages":"1 - 14"},"PeriodicalIF":1.4,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143571095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cultivating Tomorrow: A Comprehensive Review of Agricultural Innovations in the Philippines (2018–2023)","authors":"Erma Taer,&nbsp;Albino Taer","doi":"10.1007/s40003-024-00803-w","DOIUrl":"10.1007/s40003-024-00803-w","url":null,"abstract":"<div><p>This systematic review undertook an examination of agricultural innovations in the Philippines spanning from 2018 to 2023. The objective was to provide a comprehensive categorization, analyze adoption trends, and offer recommendations to optimize research priorities. A methodical approach involving literature search, screening, and quantitative analysis facilitated an organized investigation into various innovation types, contributors, applications, and geographical contexts. The findings indicated that image analysis and sustainable farming systems held the highest shares within the innovation categories, comprising 26% and 23%, respectively. These segments showcased cutting-edge techniques along with a commitment to environmental stewardship. Notably, rice-centric innovations dominated at 33.33%, underscoring the underrepresentation of high-value crops, livestock, and remote farming sectors. However, a geographical bias was evident, with 69.23% of studies concentrating solely on Luzon regions, particularly in central and northern areas. This revealed a need to acknowledge the agricultural potential present in Visayas and Mindanao, emphasizing the necessity for increased research emphasis in these regions. Furthermore, the study unveiled a fragmented landscape in research contributions, with the majority of contributors representing less than a 5% share each. This fragmentation suggests a lack of cross-institutional partnerships, hindering a holistic and collaborative approach to agricultural innovation. Critical gaps in innovation prioritization and adoption levels were identified, particularly in sustainable practices, precision technologies, non-cereal commodities, and geographically disadvantaged communities. Addressing these gaps requires significant institutional support through modernization policies and localized capacity building programs, ideally facilitated by industry-academia partnerships. In conclusion, the establishment of unified innovation transfer conduits is essential to expedite the transition of solutions from proofs of concept to farmer-ready tools, ensuring a targeted approach that caters to regional needs.</p></div>","PeriodicalId":7553,"journal":{"name":"Agricultural Research","volume":"13 4","pages":"623 - 635"},"PeriodicalIF":1.4,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of the Best Strategies for the Development of Healthy and Organic Production: A Study in Mazandaran Province, Iran","authors":"Fatemeh Shafiee,&nbsp;Omid Jamshidi","doi":"10.1007/s40003-024-00746-2","DOIUrl":"10.1007/s40003-024-00746-2","url":null,"abstract":"<div><p>Organic agriculture is a pivotal solution for achieving sustainable agricultural development and enhancing sustainability in the production of safe and healthy food systems. Consequently, policymakers, planners, and researchers worldwide have endeavored to expand it by focusing on key drivers and significant areas. However, organic farms have experienced recent declines in some countries. This study aimed to identify best strategies for developing healthy and organic production based on the perspectives of producers, who are crucial stakeholders in Mazandaran province, Iran. This region faces challenges with diminishing organic farming. The study employed a mixed-methods design, focusing on the strategic analysis of healthy and organic crop production. The study’s participants included healthy and organic farmers as well as subject-matter experts. In the qualitative phase, 34 development strategies were derived from 11 in-depth interviews with healthy and organic farmers using conventional content analysis. These strategies were then evaluated based on three criteria. In the quantitative phase, which involved a survey of 102 subject-matter experts, the strategies were weighted and ranked according to efficiency, feasibility and adaptability. The analytic network process (ANP) method was employed for this purpose. The results highlighted strategies such as “using less harmful toxins and fertilizers (organic and biological fertilizers),” “organizing educational and promotiDonal events to enhance consumer awareness,” and “ensuring the availability of essential inputs for producing healthy and organic crops” as the most significant, with the highest weights and rankings. These findings offer valuable insights for decision-makers engaged in the development of organic agriculture.</p></div>","PeriodicalId":7553,"journal":{"name":"Agricultural Research","volume":"14 2","pages":"251 - 264"},"PeriodicalIF":1.4,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143949491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterization of Spreadable Goat Cheese from Animals Fed with Cactus (Opuntia ficus-indica) Cladodes as a Productive Alternative in Arid and Semiarid Areas","authors":"Florencia Frau,&nbsp;Jorge Nelson Leguizamón-Carate,&nbsp;Williams Díaz,&nbsp;Florencia Salinas,&nbsp;Romina Sayes,&nbsp;Nora Pece","doi":"10.1007/s40003-024-00767-x","DOIUrl":"10.1007/s40003-024-00767-x","url":null,"abstract":"<div><p>In northwestern Argentina, goat milk producers feed animals with corn and alfalfa, which implies high costs. The aim of the present work was to evaluate the effect of feeding dairy goats with cactus (<i>Opuntia ficus-indica</i> L. Miller) cladodes as a substitute for corn on the quality of spreadable cheese and analyze it as a productive alternative in arid and semiarid areas. To this end, twenty Anglo-Nubian–Criolla goats were randomly divided into two groups of 10 animals each: One fed with a mix of corn (<i>Zea mays</i> L.), alfalfa (<i>Medicago sativa</i>) and pasture, and the other fed with cactus (<i>Opuntia ficus-indica</i> L. Miller) cladodes, alfalfa, corn and pasture. Milk collected at the end of the experiment was used to make spreadable cheese. The cheese obtained from animals fed with the mix of cactus cladodes, alfalfa, corn and pasture showed no significant differences in fat or protein content. In addition, this cheese was whiter and brighter and showed significantly higher values of vitamin C than the cheese obtained from animals fed with corn, alfalfa and pasture. No significant differences were observed in the content of short-chain fatty acids or linoleic acid between samples. The cheeses obtained from both groups were rheologically similar. These results suggest that feeding dairy goats with opuntia cladodes as a substitute for corn represents an inexpensive alternative that allows obtaining cheese with characteristics and composition similar to that obtained from animals fed conventionally. This strategy would be especially useful in arid and semiarid areas.</p></div>","PeriodicalId":7553,"journal":{"name":"Agricultural Research","volume":"14 2","pages":"329 - 338"},"PeriodicalIF":1.4,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143949482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative Metatranscriptomics of Rhizosphere Microbiomes in Survived and Dead Cocoa Plants Under Drought Condition","authors":"Norasekin Tamchek,&nbsp;Ping-Chin Lee","doi":"10.1007/s40003-024-00768-w","DOIUrl":"10.1007/s40003-024-00768-w","url":null,"abstract":"<div><p>Plant rhizosphere is an important ecological niche in which complex plant–microbe interactions occur. The rhizosphere microbial community has high genetic diversity, acting as an important regulator of plant productivity and growth, especially under stress conditions. This study reports the investigation of the rhizosphere community and their interactions under drought conditions in <i>Theobroma cacao</i> (cocoa), an important cash crop and commodity worldwide. We compared the active microbial community of the dead and survived cocoa plants under drought conditions using a metatranscriptomic approach. The metatranscriptome of four rhizosphere samples (two from drought plants and two from dead plants) was analysed. Based on mRNA annotation, the dominant taxa in the rhizosphere revealed Proteobacteria as the major phyla in all rhizosphere samples. The order of the top abundant phyla in rhizosphere of the surviving cocoa plant was Proteobacteria (42–49%), Firmicutes (0.4–2%), Actinobacteria (0.8–1.3%) and Acidobacteria (0.3–0.4%) whereas the rhizosphere of the dead plant revealed Proteobacteria (38–46%), Firmicutes (0.1–1.5%), Acidobacteria (0.7–0.9%) and Thaumarchaeota (0.3–0.5%). The microbial profiles of both rhizosphere samples were similar at the phylum level. Further analysis at the genus level revealed 1712 classified genera in the rhizosphere samples, at which all rhizosphere samples shared 739 genera. The most dominant genus identified was <i>Pseudomonas</i>, followed by <i>Bacillus</i> and <i>Thiocapsa</i> in rhizospheres of the surviving cocoa plants and <i>Pseudomonas</i>, followed by <i>Aeromonas</i> and <i>Klebsiella</i> in rhizospheres of the dead cocoa plants, respectively. Our results suggested changes in the microbial composition and structure in the rhizosphere of the cocoa plant, which might play important roles in the plant’s survival due to drought.</p></div>","PeriodicalId":7553,"journal":{"name":"Agricultural Research","volume":"14 2","pages":"339 - 350"},"PeriodicalIF":1.4,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40003-024-00768-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143949717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification and Differentiation of Mustard Crop with Associated Other Land Cover Features Using Multi-temporal Synthetic Aperture Radar (SAR) and Multispectral Instrument (MSI) Data with Machine Learning Approach Over Haryana, India","authors":"Hemraj,&nbsp;Om Pal,&nbsp;M. P. Sharma,&nbsp;Sultan Singh","doi":"10.1007/s40003-024-00771-1","DOIUrl":"10.1007/s40003-024-00771-1","url":null,"abstract":"<div><p>Agriculture plays crucial role for developing the economic status of any country. As the population is increasing day by day, the demand for food materials is also increasing. For the storage, import, export, pricing, etc., of food materials, there is need of timely production forecast of the crops. To get timely and accurate production forecast, there is requirement of continuous monitoring of the agricultural crops. The demand of early forecast creates the opportunity of using remote sensing to provide timely and accurate crop forecast using satellite-based technology. Mustard is an important oilseed and cash crop grown during the rabi season under irrigated or assured water conditions. The objective of this study is to discriminate the mustard crop from other rabi season crops by using the temporal MSI and SAR data of Haryana state of India. Based on crop spectral profile of MSI data and temporal backscatter profile of SAR data, classification has been done by random forest classification technique and the LULC was segregated into the mustard and other classes to generate the mustard crop classified mask. In the study, NDVI values of the crop derived from multidate MSI data are compared with backscattering values obtained from multi-temporal SAR data. The R square between NDVI and SAR backscatter is 0.907 which is showing positive correlation between both. The classification accuracy for the mustard crop was found to be 95% and 91.66% using SAR and MSI data, respectively. The present study suggests the potential of multi-date Sentinel-1A VH polarized SAR data for differentiating the mustard crop from the other associated rabi season crops using machine learning approach.</p></div>","PeriodicalId":7553,"journal":{"name":"Agricultural Research","volume":"14 2","pages":"375 - 386"},"PeriodicalIF":1.4,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143949506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Soil Water Balance and Productivity of Different Maize-Based Crop Sequences Compared to Rice–Wheat System under Contrasting Irrigation Regimes in North–West India","authors":"Navneet Kaur,&nbsp;Krishan Kumar Vashist,&nbsp;A. S. Brar","doi":"10.1007/s40003-024-00772-0","DOIUrl":"10.1007/s40003-024-00772-0","url":null,"abstract":"<div><p>An efficient management of water resources is considered essential for increased irrigation water productivity and for long-term sustainability of cropland ecosystems. In north-western India, the widespread adoption of conventional irrigation practices within water-intensive cropping systems like “rice-wheat” has led to frightening levels of water shortage and meager economic benefits. Diversified cropping systems, or producing different crops on the same piece of land at once, can increase revenue potential besides saving of irrigation water. Diversified cropping systems can help ensure the environmental and economic sustainability of agricultural operations, which can ultimately improve the livelihood of farmers. In this regard, this study aims to compare three maize-based crop sequences with rice–wheat system under different irrigation regimes. Specifically, rice equivalent yield, water balance, water productivity and net returns were assessed for different cropping systems under varied irrigation regimes. The study findings demonstrate significantly higher rice equivalent yield in maize–<i>gobhi sarson–</i>summer <i>moong</i> sequence under I_1.25, I_1.0 and conventional irrigation scheduling practice besides saving of ~ 687.5, 462.5 and 800 mm of irrigation water, respectively, compared to the rice–wheat sequence established under conventional irrigation scheduling. The cropping sequence with oilseeds and pulses as component crops, i.e., maize–<i>gobhi sarson</i>–summer <i>moong</i> and maize–potato–mentha + onion has ~ 1.85-times higher water use efficiency under I_1.25 as compared to the R–W cropping under conventional irrigation scheduling. The R–W cropping sequence under conventional irrigation regime resulted in the lowest average net returns compared with maize-based crop sequences established under I_1.25 and the conventional irrigation regime.</p></div>","PeriodicalId":7553,"journal":{"name":"Agricultural Research","volume":"14 2","pages":"387 - 398"},"PeriodicalIF":1.4,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143949494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}