176   Artículos

 
en línea
Bahareh Kalantar, Husam A. H. Al-Najjar, Biswajeet Pradhan, Vahideh Saeidi, Alfian Abdul Halin, Naonori Ueda and Seyed Amir Naghibi    
Assessment of the most appropriate groundwater conditioning factors (GCFs) is essential when performing analyses for groundwater potential mapping. For this reason, in this work, we look at three statistical factor analysis methods?Variance Inflation Fac... ver más
Revista: Water    Formato: Electrónico

 
en línea
Ashraf Abdelkarim and Ahmed F.D. Gaber    
This study aims to assess the impact of flash floods in the Wadi Nu?man basin on urban areas, east of Mecca, which are subjected to frequent floods, during the period from 1988?2019. By producing and analyzing the maps of the regions, an integrated appro... ver más
Revista: Water    Formato: Electrónico

 
en línea
Shuyan Liu, Xuegeng Chen, Dongyan Huang, Jingli Wang, Xinming Jiang, Xianzhang Meng and Xiaomei Gao    
Soil classification stands as a pivotal aspect in the domain of agricultural practices and environmental research, wielding substantial influence over decisions related to real-time soil management and precision agriculture. Nevertheless, traditional met... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Roberto Barbetti, Irene Criscuoli, Giuseppe Valboa, Nadia Vignozzi, Sergio Pellegrini, Maria Costanza Andrenelli, Giovanni L?Abate, Maria Fantappiè, Alessandro Orlandini, Andrea Lachi, Lorenzo Gardin and Lorenzo D?Avino    
A WebGis tool called GoProsit has been developed to support winegrowers in planning a new sustainable vineyard and in the identification of high-quality terroir in Tuscany, Central Italy, by providing various information on soils, climate, hydrological r... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Yadong Li, Rujia Li, Rongbiao Ji, Yehui Wu, Jiaojiao Chen, Mengyao Wu and Jianping Yang    
Grain legumes play a significant global role and are integral to agriculture and food production worldwide. Therefore, comprehending and analyzing the factors that influence grain legume yield are of paramount importance for guiding agricultural manageme... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Salah Basem Ajjur and Emanuele Di Lorenzo    
Natural groundwater recharge (GR) assessment depends on several hydrogeological and climatic inputs, where uncertainty is inevitable. Assessing how inputs? uncertainty affects GR estimation is important; however, it remains unclear in arid areas. This st... ver más
Revista: Hydrology    Formato: Electrónico

 
en línea
Vanessa Gonçalves, Antonio Albuquerque, Pedro Gabriel Almeida, Luís Ferreira Gomes and Victor Cavaleiro    
The risk of aquifer contamination is determined by the interaction between the pollutant load and the vulnerability of an aquifer. Owing to the decomposition of bodies and degradation of artefacts, cemeteries may have a negative impact on groundwater qua... ver más
Revista: Water    Formato: Electrónico

 
en línea
Milan Koszel, Stanislaw Parafiniuk, Slawomir Kocira, Andrzej Bochniak, Artur Przywara, Edmund Lorencowicz, Pavol Findura and Atanas Zdravkov Atanasov    
Taking into consideration its physico-chemical properties, digestate should be used primarily as a fertiliser. The possible ways of using digestate as a fertiliser in agriculture were identified, and digestate collected from an agricultural biogas plant ... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Brendan C. O?Kelly, Jacinto Alonso-Azcárate and José Manuel Moreno-Maroto    
The remolding toughness property of fine-grained soil has not been investigated that much, mainly because it has not lent easily to direct measurement, with soil toughness usually qualitatively described. In practical terms, as the plastic limit wP is ap... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ayele Tesema Chala and Richard Ray    
Conventional soil classification methods are expensive and demand extensive field and laboratory work. This research evaluates the efficiency of various machine learning (ML) algorithms in classifying soils based on Robertson?s soil behavioral types. Thi... ver más
Revista: Applied Sciences    Formato: Electrónico

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