Current status and future prospects in cannabinoid production through in vitro culture and synthetic biology

M Hesami, M Pepe, A Baiton, AMP Jones - Biotechnology Advances, 2023 - Elsevier
For centuries, cannabis has been a rich source of fibrous, pharmaceutical, and recreational
ingredients. Phytocannabinoids are the most important and well-known class of cannabis …

[HTML][HTML] New insight into ornamental applications of cannabis: Perspectives and challenges

M Hesami, M Pepe, A Baiton, SA Salami, AMP Jones - Plants, 2022 - mdpi.com
The characteristic growth habit, abundant green foliage, and aromatic inflorescences of
cannabis provide the plant with an ideal profile as an ornamental plant. However, due to …

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

M Aasim, R Katırcı, O Akgur, B Yildirim… - Industrial Crops and …, 2022 - Elsevier
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 …

[HTML][HTML] Comparative analysis of machine learning and evolutionary optimization algorithms for precision micropropagation of Cannabis sativa: Prediction and …

M Pepe, M Hesami, F Small, AMP Jones - Frontiers in Plant Science, 2021 - frontiersin.org
Micropropagation techniques offer opportunity to proliferate, maintain, and study dynamic
plant responses in highly controlled environments without confounding external influences …

Application of artificial neural network and machine learning algorithms for modeling the in vitro regeneration of chickpea (Cicer arietinum L.)

A Kirtis, M Aasim, R Katırcı - Plant Cell, Tissue and Organ Culture (PCTOC …, 2022 - Springer
In vitro whole plant regeneration protocol of desi chickpea was established followed by
generating the model prediction using different machine learning algorithms. Surface …

[HTML][HTML] In vitro plant tissue culture as the fifth generation of bioenergy

O Norouzi, M Hesami, M Pepe, A Dutta, AMP Jones - Scientific Reports, 2022 - nature.com
Developing and applying a novel and sustainable energy crop is essential to reach an
efficient and economically feasible technology for bioenergy production. In this study, plant …

[HTML][HTML] Machine learning-mediated development and optimization of disinfection protocol and scarification method for improved in vitro germination of cannabis …

M Pepe, M Hesami, AMP Jones - Plants, 2021 - mdpi.com
In vitro seed germination is a useful tool for developing a variety of biotechnologies, but
cannabis has presented some challenges in uniformity and germination time, presumably …

Prediction of sugar beet yield and quality parameters with varying nitrogen fertilization using ensemble decision trees and artificial neural networks

I Varga, D Radočaj, M Jurišić, AM Kulundžić… - … and electronics in …, 2023 - Elsevier
Nitrogen fertilization has a crucial role in sugar beet production, especially concerning root
yield and quality. This study employed a machine learning approach to predict root yield and …

Toward sustainable culture media: Using artificial intelligence to optimize reduced-serum formulations for cultivated meat

A Nikkhah, A Rohani, M Zarei, A Kulkarni… - Science of The Total …, 2023 - Elsevier
When considering options for future foods, cell culture approaches are at the fore, however,
culture media to support the process has been identified as a significant contributor to the …

[HTML][HTML] Application of artificial neural networks and genetic algorithm to predict and optimize greenhouse banana fruit yield through nitrogen, potassium and …

MR Ramezanpour, M Farajpour - Plos one, 2022 - journals.plos.org
The excess of the chemical fertilizers not only causes the environmental pollution but also
has many deteriorating effects including global warming and alteration of soil microbial …