Machine learning (ML) algorithms and artificial neural network for optimizing in vitro germination and growth indices of industrial hemp (Cannabis sativa L.)

In vitro germination of hemp is challenging due to low germination and high contamination rates. Successful establishment of in vitro sterilization is the prerequisite of plant tissue culture studies. Recent advancements in the field of artificial neural network (ANN) and machine learning (ML) algor...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Aasim, Muhammad [verfasserIn]

Katırcı, Ramazan

Akgur, Ozlem

Yildirim, Busra

Mustafa, Zemran

Nadeem, Muhammad Azhar

Baloch, Faheem Shahzad

Karakoy, Tolga

Yılmaz, Güngör

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2022transfer abstract

Schlagwörter:

MLP

RBF:

RSM

H 2 O 2

GRNN:

GP

ML

XGBoost

LOO-CV

dH 2 O:

ANOVA

MS

RF

SVC

ANNs

SVM

Übergeordnetes Werk:

Enthalten in: Basal PPARα inhibits bile acid metabolism adaptation in chronic cholestatic model induced by α-naphthylisothiocyanate - Hua, Huiying ELSEVIER, 2018, an international journal, New York, NY [u.a.]

Übergeordnetes Werk:

volume:181 ; year:2022 ; pages:0

Links:

Volltext

DOI / URN:

10.1016/j.indcrop.2022.114801

Katalog-ID:

ELV057344000

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