Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Mojtaba Zeraatpisheh"'
Autor:
Jingzhe Wang, Jianing Zhen, Weifang Hu, Songchao Chen, Ivan Lizaga, Mojtaba Zeraatpisheh, Xiaodong Yang
Publikováno v:
International Soil and Water Conservation Research, Vol 11, Iss 3, Pp 429-454 (2023)
Soils constitute one of the most critical natural resources and maintaining their health is vital for agricultural development and ecological sustainability, providing many essential ecosystem services. Driven by climatic variations and anthropogenic
Externí odkaz:
https://doaj.org/article/3dbbc482afb44a639989a8e345a86529
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
In order to understand the heavy metal pollution and potential ecological risk of farmland soil around the waste dump in the eastern suburb of Kaifeng clearly and provide a scientific basis for the remediation of heavy metals in farmland soil, the si
Externí odkaz:
https://doaj.org/article/22fb5c217be1454a95a87dcd648701af
Autor:
Shamsollah Ayoubi, Nafiseh Sadeghi, Farideh Abbaszadeh Afshar, Mohammad Reza Abdi, Mojtaba Zeraatpisheh, Jesus Rodrigo-Comino
Publikováno v:
Forest Ecosystems, Vol 8, Iss 1, Pp 1-14 (2021)
Abstract Background As one of the main components of land-use change, deforestation is considered the greatest threat to global environmental diversity with possible irreversible environmental consequences. Specifically, one example could be the impa
Externí odkaz:
https://doaj.org/article/8a910f62711a4834a39d79073a10b3ab
Autor:
Mutwakil Adam, Ibrahim Ibrahim, Magboul Sulieman, Mojtaba Zeraatpisheh, Gaurav Mishra, Eric C. Brevik
Publikováno v:
Air, Soil and Water Research, Vol 14 (2021)
Cation exchange capacity (CEC) is an important soil property because it affects the assimilation of nutrients and buffers against soil acidification. Thus, knowledge of CEC is considered key to developing agricultural and environmental models for lan
Externí odkaz:
https://doaj.org/article/e6622529965d4b889f95c13779aa7053
Publikováno v:
Sensors, Vol 22, Iss 18, p 6890 (2022)
This study was conducted to examine the capability of topographic features and remote sensing data in combination with other auxiliary environmental variables (geology and geomorphology) to predict CEC by using different machine learning models ((ran
Externí odkaz:
https://doaj.org/article/ab0d23cfc77f40ed9ec327702af301db
Autor:
Eduardo Leonel Bottega, José Lucas Safanelli, Mojtaba Zeraatpisheh, Telmo Jorge Carneiro Amado, Daniel Marçal de Queiroz, Zanandra Boff de Oliveira
Publikováno v:
Agronomy, Vol 12, Iss 6, p 1390 (2022)
Management practices that aim to increase the profitability of agricultural production with minimal environmental impact must consider within-field soil variability, and this site-specific management can be addressed by precision agriculture (PA). Th
Externí odkaz:
https://doaj.org/article/eb00104fb915415d97ef10bb509d71fc
Autor:
Hassan Fathizad, Ruhollah Taghizadeh-Mehrjardi, Mohammad Ali Hakimzadeh Ardakani, Mojtaba Zeraatpisheh, Brandon Heung, Thomas Scholten
Publikováno v:
Agronomy, Vol 12, Iss 3, p 628 (2022)
Soil organic carbon (SOC) is an essential property of soil, and understanding its spatial patterns is critical to understanding vegetation management, soil degradation, and environmental issues. This study applies a framework using remote sensing dat
Externí odkaz:
https://doaj.org/article/6ac6494427ce407e963736d88f2941c5
Autor:
Shamsollah Ayoubi, Ameneh Mohammadi, Mohammad Reza Abdi, Farideh Abbaszadeh Afshar, Lin Wang, Mojtaba Zeraatpisheh
Publikováno v:
Agronomy, Vol 12, Iss 2, p 451 (2022)
This study was executed to explore soil redistribution and soil quality changes induced by land degradation and then rehabilitation by orchard plantation in different slope positions in a semi-arid region in central Iran. A total of 72 surface soil s
Externí odkaz:
https://doaj.org/article/fbff2b1688084da684c46b6d6333a49d
Publikováno v:
Agronomy, Vol 12, Iss 3, p 578 (2022)
Monitoring the soil quality (SQ) in agricultural ecosystems is necessary for using sustainable soil and land resources. Therefore, to evaluate the SQ variation in an arid environment in the Bajestan region, northeastern Iran, two soil quality indices
Externí odkaz:
https://doaj.org/article/45aa6df4e0df46f6bcfbb2175940c796
Autor:
Ruhollah Taghizadeh-Mehrjardi, Hossein Khademi, Fatemeh Khayamim, Mojtaba Zeraatpisheh, Brandon Heung, Thomas Scholten
Publikováno v:
Remote Sensing, Vol 14, Iss 3, p 472 (2022)
This study tested and evaluated a suite of nine individual base learners and seven model averaging techniques for predicting the spatial distribution of soil properties in central Iran. Based on the nested-cross validation approach, the results showe
Externí odkaz:
https://doaj.org/article/b876e62398984d578a78e810d775fd14