Smart microalgae farming with internet-of-things for sustainable agriculture
Agriculture farms such as crop, aquaculture and livestock have begun the implementation of
Internet of Things (IoT) and artificial intelligence (AI) technology in improving their …
Internet of Things (IoT) and artificial intelligence (AI) technology in improving their …
Microalgae with artificial intelligence: A digitalized perspective on genetics, systems and products
With recent advances in novel gene-editing tools such as RNAi, ZFNs, TALENs, and
CRISPR-Cas9, the possibility of altering microalgae toward designed properties for various …
CRISPR-Cas9, the possibility of altering microalgae toward designed properties for various …
Assessing global carbon sequestration and bioenergy potential from microalgae cultivation on marginal lands leveraging machine learning
M Chen, Y Chen, Q Zhang - Science of The Total Environment, 2024 - Elsevier
This comprehensive study unveils the vast global potential of microalgae as a sustainable
bioenergy source, focusing on the utilization of marginal lands and employing advanced …
bioenergy source, focusing on the utilization of marginal lands and employing advanced …
[HTML][HTML] Screening of potential probiotic lactic acid bacteria with antimicrobial properties and selection of superior bacteria for application as biocontrol using machine …
Abstract 144 lactic acid bacteria (LAB) strains were screened to find those with the best
antimicrobial activity and potential probiotic properties. Firstly, bacteria were tested for …
antimicrobial activity and potential probiotic properties. Firstly, bacteria were tested for …
Exploring the critical factors of algal biomass and lipid production for renewable fuel production by machine learning
In this work, the algal biomass productivity and its lipid content were explored using a
database containing 4670 instances extracted from the experimental results reported in 102 …
database containing 4670 instances extracted from the experimental results reported in 102 …
Machine learning for algal biofuels: a critical review and perspective for the future
In this work, machine learning (ML) applications in microalgal biofuel production are
reviewed. First, the basic steps of algal biofuel production are summarized followed by a …
reviewed. First, the basic steps of algal biofuel production are summarized followed by a …
Weighted gene co-expression network analysis identifies modules and functionally enriched pathways in the lactation process
The exponential growth in knowledge has resulted in a better understanding of the lactation
process in a wide variety of animals. However, the underlying genetic mechanisms are not …
process in a wide variety of animals. However, the underlying genetic mechanisms are not …
Role of secondary metabolites in distressed microalgae
M Kolackova, A Janova, M Dobesova, M Zvalova… - Environmental …, 2023 - Elsevier
Proficient photosynthetic microalgae/cyanobacteria produce a remarkable amount of various
biomolecules. Secondary metabolites (SM) represent high value products for global biotrend …
biomolecules. Secondary metabolites (SM) represent high value products for global biotrend …
A comprehensive analysis of transcriptomic data for comparison of plants with different photosynthetic pathways in response to drought stress
The main factor leading to a decrease in crop productivity is abiotic stresses, particularly
drought. Plants with C4 and CAM photosynthesis are better adapted to drought-prone areas …
drought. Plants with C4 and CAM photosynthesis are better adapted to drought-prone areas …
[HTML][HTML] Identification of gene expression signature for drought stress response in barley (Hordeum vulgare L.) using machine learning approach
Barley (Hordeum vulgare L.) is an important cereal crop, playing a pivotal role in global
agriculture and food systems. Drought has a significant impact on barley growth and yield …
agriculture and food systems. Drought has a significant impact on barley growth and yield …