Výsledky vyhledávání - "Mehdi Younessi-Hmazekhanlu"

Artificial neural networks and multiple linear regression as potential methods for modeling seed yield of safflower (Carthamus tinctorius L.)

Autor: Moslem Abdipour, Seyyed Hamid Reza Ramazani, Mehdi Younessi-Hmazekhanlu, Amir hassan omidi

Publikováno v: Industrial Crops and Products. 127:185-194

Modeling relationships between safflower seed yield (SY) and its components would be helpful to understand the most important trait-(s) with significant effects on seed yield, which in turn helps safflower breeders in the indirect selection of high-p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::98de2e4089d3a7d45c1415eb08539ac0
https://doi.org/10.1016/j.indcrop.2018.10.050

Zobrazit plný text záznamu

Modeling Oil Content of Sesame (Sesamum indicumL.) Using Artificial Neural Network and Multiple Linear Regression Approaches

Autor: Mohsen Niazian, Mehdi Younessi-Hmazekhanlu, Moslem Abdipour, Seyyed Hamid Reza Ramazani

Publikováno v: Journal of the American Oil Chemists' Society. 95:283-297

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1ddb01f5239721fb592360ff040fd359
https://doi.org/10.1002/aocs.12027

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání