Machine learning-assisted analysis for agronomic dataset of 49 balangu (lallemantia iberica l.) ecotypes from different regions of iran

HIGHLIGHTS

• who: Jalil Shafagh-Kolvanagh from the of IranUniversity of have published the research work: Machine learning-assisted analysis for agronomic dataset of 49 Balangu (Lallemantia iberica L.) ecotypes from different regions of Iran, in the Journal: Scientific Reports Scientific Reports of 10/01/2022
• what: This work provides a four-year dataset for the agronomic properties of Lallamentia iberica and the metrics such as morph-physiological traits of 49 different ecotypes from various regions of Iran with the diversity of extracted materials percent`s such as protein and oil. The aim of this sequence of . . .
  

   

  

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