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International Journal of Sustainable Agricultural Management and Informatics最新文献

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Forecasting Landfilling Indicators Of Municipal Waste In Greece Using Univariate Time-series Model 利用单变量时间序列模型预测希腊城市垃圾填埋指标
IF 1.2 Q2 AGRICULTURE, MULTIDISCIPLINARY Pub Date : 2022-03-18 DOI: 10.17700/jai.2022.13.1.636
Christos Liotiris, Z. Andreopoulou
Implementation of environmental policies, is one of the European Commission's key priorities, as confirmed by its proposal for the 7th Environment Action Programme and the Roadmap to a resource-efficient Europe. Subsequently, the European Union revised its waste legislation to address these challenges more adequately. As a result, the EU's Waste Framework Directive and Landfill Directive set binding targets for recycling municipal waste and diverting biodegradable municipal waste from landfills. This paper deals with the monitoring of municipal waste management operations in Greece, in terms of technical content and ability to reach the targets of the initiatives. In addition, a more detailed report on waste indicators published by Eurostat will be based on an Exploratory Data Analysis and on a Univariate time-series prediction model. Finally, the overall aim of this study is to gain maximum insight into the data and understand its underlying structure through graphical representation, to achieve the most accurate forecast for the landfilling operation.
环境政策的实施是欧盟委员会的主要优先事项之一,这一点在欧盟委员会提出的第七个环境行动计划和资源节约型欧洲路线图中得到了证实。随后,欧洲联盟修订了其废物立法,以更充分地应对这些挑战。因此,欧盟的《废物框架指令》和《垃圾填埋指令》为回收城市废物和从垃圾填埋场转移可生物降解的城市废物设定了具有约束力的目标。本文涉及希腊城市废物管理业务的监测,在技术含量和能力方面,以达到倡议的目标。此外,欧共体统计局将根据探索性数据分析和单变量时间序列预测模型出版一份关于废物指标的更详细报告。最后,本研究的整体目标是透过图形化的方式,最大程度地深入了解数据,并了解其基本结构,从而对堆填区的运作作出最准确的预测。
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引用次数: 0
Circular Economy: a Bibliometric Mapping 循环经济:文献计量制图
IF 1.2 Q2 AGRICULTURE, MULTIDISCIPLINARY Pub Date : 2022-03-18 DOI: 10.17700/jai.2022.13.1.650
P. Lengyel, O. Mustafa
In recent years due to the impact of climate change, there was an increased awareness for the importance of changing our practices. That can be done by integrating the circular economy with environmental thinking and initiatives into the current systems, which in turn will have the role of decreasing the carbon footprint, measuring up the companies profit and also motivate the competitiveness. Despite the benefits of implementing the circular economy saving ideas to the systems, it’s still not widely used. Therefore, in this study a bibliometric analysis is done on the circular economy’s literature over the last two decades to understand the present level of research work in the field. This research is quantitatively evaluating the academic literature and defining research characteristics based on the number of published articles and their citation impact, also it’s quantifying and assessing the scientific success of individuals and organizations in the field. It was found that European countries have contributed with a high number of publications in the area of the research. Based on the results, it is clear that the relevance of the circular economy has increased in recent years, and further study and research is still needed in this area.
近年来,由于气候变化的影响,人们越来越意识到改变我们的做法的重要性。这可以通过将循环经济与环境思想和倡议整合到现有系统中来实现,这反过来又将起到减少碳足迹、衡量公司利润和激发竞争力的作用。尽管实施循环经济节约理念对系统有好处,但它仍然没有被广泛使用。因此,在本研究中,对过去二十年的循环经济文献进行了文献计量分析,以了解该领域目前的研究工作水平。本研究是对学术文献进行定量评估,并根据发表文章的数量及其引用影响来定义研究特征,同时也是对个人和组织在该领域的科学成就进行量化评估。研究发现,欧洲国家在该研究领域发表了大量论文。从结果可以看出,近年来循环经济的相关性有所增强,在这一领域还需要进一步的研究和研究。
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引用次数: 1
Cultural heritage protection against floods using the business object relation modelling 利用业务对象关系建模实现文化遗产防洪保护
IF 1.2 Q2 AGRICULTURE, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.1504/ijsami.2022.10046596
J. Nouza, M. Pícka, Armend Qerimi, V. Merunka
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引用次数: 0
Forecasting agricultural commodities prices using deep learning-based models: basic LSTM, bi-LSTM, stacked LSTM, CNN LSTM, and convolutional LSTM 使用基于深度学习的模型预测农产品价格:基本LSTM、双LSTM、堆叠LSTM、CNN LSTM和卷积LSTM
IF 1.2 Q2 AGRICULTURE, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.1504/ijsami.2022.10048228
A. Krishnan, R. Murugesan, Eva Mishra
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引用次数: 2
Data analytics and optimised machine learning algorithm to analyse coffee commodity prices 数据分析和优化的机器学习算法分析咖啡商品价格
IF 1.2 Q2 AGRICULTURE, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.1504/ijsami.2022.10049866
Sam Sang You, Hwang Chan Yu, Le Ngoc Bao Long, Nguyen Duy Tan
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引用次数: 1
Factors influencing farmers’ perception of sustainable agriculture: a case study of Musanze District, Rwanda 影响农民对可持续农业认知的因素:以卢旺达Musanze地区为例
IF 1.2 Q2 AGRICULTURE, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.1504/ijsami.2022.10050560
S. Muhamadi, I. Boz
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引用次数: 0
Geographical indication products and the provision of public goods a Greek case study 地理标志产品和公共产品的提供——希腊案例研究
IF 1.2 Q2 AGRICULTURE, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.1504/ijsami.2022.10051007
S. Stachtiaris, Konstantinos Tsiboukas, Antonios Kominakis, P. Karanikolas, Maria Spilioti
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引用次数: 0
Predicting and forecasting water quality using deep learning 使用深度学习预测和预测水质
IF 1.2 Q2 AGRICULTURE, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.1504/ijsami.2022.10051380
Samaah Shweikani, Ahmad Debow, Kadan Aljoumaa
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引用次数: 1
Gender analysis of land ownership influence on climate smart agriculture adoption among farming households in Nigeria 土地所有权对尼日利亚农户采用气候智能型农业影响的性别分析
IF 1.2 Q2 AGRICULTURE, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.1504/ijsami.2022.10051616
A. Shittu, Ibukun James Olaoye, S. Edewor
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引用次数: 0
The new Italian web database to support irrigation investment policies: DANIA 支持灌溉投资政策的新的意大利网络数据库:DANIA
IF 1.2 Q2 AGRICULTURE, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.1504/ijsami.2022.10046602
R. Zucaro, R. Lorenzetti, Luca Adolfo Folino, Marianna Ferrigno
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引用次数: 0
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