Prediction and optimization of indirect shoot regeneration of Passiflora caerulea using machine learning and optimization algorithms

M Jafari, MH Daneshvar - BMC biotechnology, 2023 - Springer
Background Optimization of indirect shoot regeneration protocols is one of the key
prerequisites for the development of Agrobacterium-mediated genetic transformation and/or …

Enhancing petunia tissue culture efficiency with machine learning: A pathway to improved callogenesis

H Rezaei, A Mirzaie-Asl, MR Abdollahi, M Tohidfar - Plos one, 2023 - journals.plos.org
The important feature of petunia in tissue culture is its unpredictable and genotype-
dependent callogenesis, posing challenges for efficient regeneration and biotechnology …

Comparative analysis of different artificial neural networks for predicting and optimizing in vitro seed germination and sterilization of petunia

H Rezaei, A Mirzaie-Asl, MR Abdollahi, M Tohidfar - Plos one, 2023 - journals.plos.org
The process of optimizing in vitro seed sterilization and germination is a complicated task
since this process is influenced by interactions of many factors (eg, genotype, disinfectants …

Artificial neural network and decision tree facilitated prediction and validation of cytokinin-auxin induced in vitro organogenesis of sorghum (Sorghum bicolor L.)

M Aasim, SA Ali, MT Altaf, A Ali, MA Nadeem… - Plant Cell, Tissue and …, 2023 - Springer
In this study, in vitro regeneration protocol of sorghum (Sorghum bicolor) was successfully
established by using direct organogenesis from a mature zygotic embryo explant. The used …

Machine learning offers insights into the impact of in vitro drought stress on strawberry cultivars

Ö Şimşek - Agriculture, 2024 - mdpi.com
This study aimed to assess the susceptibility of three strawberry cultivars
(“Festival”,“Fortuna”, and “Rubygem”) to drought stress induced by varying polyethylene …

Phytoremediation of tetracycline via the coontail Ceratophyllum demersum in antibiotics-contaminated water

MF Ali, QA Ali, MJ M-Ridha, SJ Mohammed… - Biocatalysis and …, 2023 - Elsevier
This study investigated the phytoremediation of tetracycline (TC) for 21 days using the
coontail Ceratophyllum demersum. Experiments were conducted at varying TC …

Phytobial remediation advances and application of omics and artificial intelligence: a review

I Mohan, B Joshi, D Pathania, S Dhar… - Environmental Science and …, 2024 - Springer
Industrialization and urbanization increased the use of chemicals in agriculture, vehicular
emissions, etc., and spoiled all environmental sectors. It causes various problems among …

Optimizing micropropagation and rooting protocols for diverse lavender genotypes: A synergistic approach integrating machine learning techniques

Ö Şimşek, A Dalda Şekerci, MA Isak, F Bulut, T İzgü… - Horticulturae, 2024 - mdpi.com
This study comprehensively explored the micropropagation and rooting capabilities of four
distinct lavender genotypes, utilizing culture media with and without 2 g/L of activated …

Synergizing LED Technology and Hydropriming for Intelligent Modeling and Mathematical Expressions to Optimize Chickpea Germination and Growth Indices

M Aasim, F Akin, SA Ali - Journal of Plant Growth Regulation, 2024 - Springer
The influence of hydropriming and Light Emitting Diodes (LED) on germination and growth
indices, followed by optimizing and validation via artificial intelligence-based models was …

Effectiveness of light-emitting diodes for arsenic and mercury accumulation by Ceratophyllum demersum L.: An innovative advancement in phytoremediation …

K Ugur, M Dogan - Chemosphere, 2024 - Elsevier
Abstract Light Emitting Diodes (LEDs) have emerged as a tool with great potential in the field
of phytoremediation, offering a novel approach to enhance the efficiency of plant-based …