[HTML][HTML] Predictive modeling of Persian walnut (Juglans regia L.) in vitro proliferation media using machine learning approaches: a comparative study of ANN, KNN …

M Sadat-Hosseini, MM Arab, M Soltani, M Eftekhari… - Plant Methods, 2022 - Springer
Background Optimizing plant tissue culture media is a complicated process, which is easily
influenced by genotype, mineral nutrients, plant growth regulators (PGRs), vitamins and …

Predictive modeling of Persian walnut (Juglans regia L.) in vitro proliferation media using machine learning approaches: a comparative study of ANN, KNN and GEP …

M Sadat-Hosseini, MM Arab, M Soltani, M Eftekhari… - Plant …, 2022 - europepmc.org
Background Optimizing plant tissue culture media is a complicated process, which is easily
influenced by genotype, mineral nutrients, plant growth regulators (PGRs), vitamins and …

[HTML][HTML] Predictive modeling of Persian walnut (Juglans regia L.) in vitro proliferation media using machine learning approaches: a comparative study of ANN, KNN …

M Sadat-Hosseini, MM Arab… - Plant …, 2022 - plantmethods.biomedcentral.com
Optimizing plant tissue culture media is a complicated process, which is easily influenced by
genotype, mineral nutrients, plant growth regulators (PGRs), vitamins and other factors …

Predictive modeling of Persian walnut (Juglans regia L.) in vitro proliferation media using machine learning approaches: a comparative study of ANN, KNN and GEP …

M Sadat-Hosseini, MM Arab, M Soltani, M Eftekhari… - 2022 - cabidigitallibrary.org
Background: Optimizing plant tissue culture media is a complicated process, which is easily
influenced by genotype, mineral nutrients, plant growth regulators (PGRs), vitamins and …

Predictive modeling of Persian walnut (Juglans regia L.) in vitro proliferation media using machine learning approaches: a comparative study of ANN, KNN and GEP …

M Sadat-Hosseini, MM Arab, M Soltani… - Plant …, 2022 - search.ebscohost.com
Background: Optimizing plant tissue culture media is a complicated process, which is easily
influenced by genotype, mineral nutrients, plant growth regulators (PGRs), vitamins and …

[HTML][HTML] Predictive modeling of Persian walnut (Juglans regia L.) in vitro proliferation media using machine learning approaches: a comparative study of ANN, KNN …

M Sadat-Hosseini, MM Arab, M Soltani, M Eftekhari… - Plant …, 2022 - ncbi.nlm.nih.gov
Background Optimizing plant tissue culture media is a complicated process, which is easily
influenced by genotype, mineral nutrients, plant growth regulators (PGRs), vitamins and …

[PDF][PDF] Predictive modeling of Persian walnut (Juglans regia L.) in vitro proliferation media using machine learning approaches: a comparative study of ANN, KNN and …

M Sadat‑Hosseini, MM Arab, M Soltani, M Eftekhari… - 2022 - researchgate.net
Background: Optimizing plant tissue culture media is a complicated process, which is easily
influenced by genotype, mineral nutrients, plant growth regulators (PGRs), vitamins and …

Predictive modeling of Persian walnut (Juglans regia L.) in vitro proliferation media using machine learning approaches: a comparative study of ANN, KNN and GEP …

M Sadat-Hosseini, MM Arab, M Soltani… - Plant …, 2022 - pubmed.ncbi.nlm.nih.gov
Background Optimizing plant tissue culture media is a complicated process, which is easily
influenced by genotype, mineral nutrients, plant growth regulators (PGRs), vitamins and …

Predictive modeling of Persian walnut (Juglans regia L.) in vitro proliferation media using machine learning approaches: a comparative study of ANN, KNN and GEP …

M Sadat-Hosseini, MM Arab, M Soltani… - Plant …, 2022 - search.proquest.com
Background Optimizing plant tissue culture media is a complicated process, which is easily
influenced by genotype, mineral nutrients, plant growth regulators (PGRs), vitamins and …

[引用][C] Predictive modeling of Persian walnut (Juglans regia L.) in vitro proliferation media using machine learning approaches: a comparative study of ANN, KNN and …

M Sadat-Hosseini, MM Arab, M Soltani, M Eftekhari… - 2022