Current status and future prospects in cannabinoid production through in vitro culture and synthetic biology
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 …
ingredients. Phytocannabinoids are the most important and well-known class of cannabis …
Machine learning-assisted approaches in modernized plant breeding programs
In the face of a growing global population, plant breeding is being used as a sustainable tool
for increasing food security. A wide range of high-throughput omics technologies have been …
for increasing food security. A wide range of high-throughput omics technologies have been …
Deep learning utilization in agriculture: Detection of rice plant diseases using an improved CNN model
Rice is considered one the most important plants globally because it is a source of food for
over half the world's population. Like other plants, rice is susceptible to diseases that may …
over half the world's population. Like other plants, rice is susceptible to diseases that may …
Machine Learning-Assisted In Vitro Rooting Optimization in Passiflora caerulea
In vitro rooting as one of the most critical steps of micropropagation is affected by various
extrinsic (eg, medium composition, auxins) and intrinsic factors (eg, species, explant). In …
extrinsic (eg, medium composition, auxins) and intrinsic factors (eg, species, explant). In …
Machine learning-mediated Passiflora caerulea callogenesis optimization
M Jafari, MH Daneshvar - PLoS One, 2024 - journals.plos.org
Callogenesis is one of the most powerful biotechnological approaches for in vitro secondary
metabolite production and indirect organogenesis in Passiflora caerulea. Comprehensive …
metabolite production and indirect organogenesis in Passiflora caerulea. Comprehensive …
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 …
prerequisites for the development of Agrobacterium-mediated genetic transformation and/or …
Artificial neural network and decision tree–based models for prediction and validation of in vitro organogenesis of two hydrophytes—Hemianthus callitrichoides and …
The application of plant tissue culture protocols for aquatic plants has been widely adopted
in recent years to produce cost-effective plants for aquarium industry. In vitro regeneration …
in recent years to produce cost-effective plants for aquarium industry. In vitro regeneration …
Artificial neural network modeling for deciphering the in vitro induced salt stress tolerance in chickpea (Cicer arietinum L)
Salt stress is one of the most critical abiotic stresses having significant contribution in global
agriculture production. Chickpea is sensitive to salt stress at various growth stages and a …
agriculture production. Chickpea is sensitive to salt stress at various growth stages and a …
A journey with psychedelic mushrooms: From historical relevance to biology, cultivation, medicinal uses, biotechnology, and beyond
Psychedelic mushrooms containing psilocybin and related tryptamines have long been used
for ethnomycological purposes, but emerging evidence points to the potential therapeutic …
for ethnomycological purposes, but emerging evidence points to the potential therapeutic …
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 …
dependent callogenesis, posing challenges for efficient regeneration and biotechnology …