Zobrazeno 1 - 10
of 512
pro vyhledávání: '"Torabi Haghighi A"'
Autor:
Amirhossein Ahrari, Kedar Ghag, Syed Mustafa, Anandharuban Panchanathan, Alexandra Gemitzi, Mourad Oussalah, Björn Klöve, Ali Torabi Haghighi
Publikováno v:
Smart Agricultural Technology, Vol 8, Iss , Pp 100485- (2024)
Understanding the impact of Climate Variability (CV) on crop yield is crucial for developing sustainable agriculture practices, especially in regions vulnerable to climate change. This study aims to identify the causes of the observed decline in pota
Externí odkaz:
https://doaj.org/article/4c9ea5a47ed54501ae3c537e0483b7b0
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e31960- (2024)
In recent years, the effects of human activities and climate change on river flow patterns have become a major concern worldwide. This is particularly true in the southern Caspian Sea (SCS) region of Iran, where increasing water-intensive socio-econo
Externí odkaz:
https://doaj.org/article/c7a2434ef35e41c38fa080dfb16d7c21
Publikováno v:
In Journal of Environmental Management September 2024 368
Autor:
Ahrari, Amirhossein, Ghag, Kedar, Mustafa, Syed, Panchanathan, Anandharuban, Gemitzi, Alexandra, Oussalah, Mourad, Klöve, Björn, Torabi Haghighi, Ali
Publikováno v:
In Smart Agricultural Technology August 2024 8
Publikováno v:
Applied Water Science, Vol 14, Iss 2, Pp 1-16 (2024)
Abstract Since spring discharge, especially in arid and semiarid regions, varies considerably in different months of the year, a time series of spring discharge observations is needed to determine the firm yield of the spring and the amount of water
Externí odkaz:
https://doaj.org/article/eac4d8c78d7d448da1e1a2e2fc7e072a
Publikováno v:
In Journal of Hydrology July 2024 638
Publikováno v:
In Heliyon 15 June 2024 10(11)
Publikováno v:
In Journal of Historical Geography June 2024 84:139-149
Autor:
Bähar Jelovica, Jaakko Erkinaro, Panu Orell, Bjørn Kløve, Ali Torabi Haghighi, Hannu Marttila
Publikováno v:
Ecological Indicators, Vol 160, Iss , Pp 111832- (2024)
Climate change and anthropogenic activities have impacts on fish habitat suitability, demanding more accurate modeling of species abundance for effective conservation and management. In this study, we applied Machine Learning techniques to model the
Externí odkaz:
https://doaj.org/article/c94c901d04814cd89c3e0752d294cff1
Autor:
Kedar Surendranath Ghag, Amirhossein Ahrari, Anandharuban Panchanathan, Syed M.T. Mustafa, Toni Liedes, Björn Klöve, Ali Torabi Haghighi
Publikováno v:
Smart Agricultural Technology, Vol 7, Iss , Pp 100411- (2024)
This research study investigates the impact of air temperature and precipitation on annual potato crop yield in Finland region and a local area in northern Finland. For this, the annual crop yield data of regional and local case study area is process
Externí odkaz:
https://doaj.org/article/0846e3456891444795459a3539f2e736