Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Vahid Alah Jahandideh Mahjenabadi"'
Publikováno v:
The Microbe, Vol 5, Iss , Pp 100219- (2024)
The primary objective of the present study was to elucidate the genetic diversity of lentil-nodulating rhizobia in Iran, utilizing an amalgamation of molecular techniques. A total of 116 rhizobia strains were isolated from soil and nodule samples col
Externí odkaz:
https://doaj.org/article/cc874452601c4efb85b6d63644feacf5
Publikováno v:
Frontiers in Plant Science, Vol 14 (2024)
This study aimed to identify the most influential soil and environmental factors for predicting wheat yield (WY) in a part of irrigated croplands in southwest Iran, using the FAO-Agro-Climate method and machine learning algorithms (MLAs). A total of
Externí odkaz:
https://doaj.org/article/2a0ecaca279f45f8955e970b6a7f13f9
Autor:
Meisam Rezaei, Seyed Rohollah Mousavi, Asghar Rahmani, Mojtaba Zeraatpisheh, Mehdi Rahmati, Mojtaba Pakparvar, Vahid Alah Jahandideh Mahjenabadi, Piet Seuntjens, Wim Cornelis
Publikováno v:
Computers and Electronics in Agriculture. 209:107821
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e7382ec9d75dbe7ada6a9a549eb5e9a
https://doi.org/10.1016/j.compag.2023.107821
https://doi.org/10.1016/j.compag.2023.107821
Autor:
Vahid Alah Jahandideh Mahjenabadi, Seyed Roohollah Mousavi, Asghar Rahmani, Alidad Karami, Hadi Asadi Rahmani, Kazem Khavazi, Meisam Rezaei
Publikováno v:
Computers and Electronics in Agriculture. 197:106978
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ed3b32cae634acf70b0b03cbf456b80
https://doi.org/10.1016/j.compag.2022.106978
https://doi.org/10.1016/j.compag.2022.106978