Additive manufacturing of smart polymeric composites: Literature review and future perspectives
The latest developments in smart systems for improved human lives with advanced
biomedical devices have evolved out of multi‐disciplinary scientific studies, including …
biomedical devices have evolved out of multi‐disciplinary scientific studies, including …
Genomic selection: A tool for accelerating the efficiency of molecular breeding for development of climate-resilient crops
Since the inception of the theory and conceptual framework of genomic selection (GS),
extensive research has been done on evaluating its efficiency for utilization in crop …
extensive research has been done on evaluating its efficiency for utilization in crop …
Integrated genomic selection for accelerating breeding programs of climate-smart cereals
Rapidly rising population and climate changes are two critical issues that require immediate
action to achieve sustainable development goals. The rising population is posing increased …
action to achieve sustainable development goals. The rising population is posing increased …
Polymer 4D printing: Advanced shape‐change and beyond
Abstract 4D printing is an exciting branch of additive manufacturing. It relies on established
3D printing techniques to fabricate objects in much the same way. However, structures …
3D printing techniques to fabricate objects in much the same way. However, structures …
Plant genotype to phenotype prediction using machine learning
Genomic prediction tools support crop breeding based on statistical methods, such as the
genomic best linear unbiased prediction (GBLUP). However, these tools are not designed to …
genomic best linear unbiased prediction (GBLUP). However, these tools are not designed to …
Machine learning models outperform deep learning models, provide interpretation and facilitate feature selection for soybean trait prediction
Recent growth in crop genomic and trait data have opened opportunities for the application
of novel approaches to accelerate crop improvement. Machine learning and deep learning …
of novel approaches to accelerate crop improvement. Machine learning and deep learning …
A joint learning approach for genomic prediction in polyploid grasses
Poaceae, among the most abundant plant families, includes many economically important
polyploid species, such as forage grasses and sugarcane (Saccharum spp.). These species …
polyploid species, such as forage grasses and sugarcane (Saccharum spp.). These species …
Recent progress in 3D printing of smart structures: classification, challenges, and trends
Y Ji, C Luan, X Yao, J Fu, Y He - Advanced Intelligent Systems, 2021 - Wiley Online Library
Recently, considerable achievements have been made with the advancements of smart
structures, which are known for their controlled deformation, self‐repair, and sensing …
structures, which are known for their controlled deformation, self‐repair, and sensing …
Genetic dissection of grain yield of maize and yield-related traits through association mapping and genomic prediction
J Ma, Y Cao - Frontiers in Plant Science, 2021 - frontiersin.org
High yield is the primary objective of maize breeding. Genomic dissection of grain yield and
yield-related traits contribute to understanding the yield formation and improving the yield of …
yield-related traits contribute to understanding the yield formation and improving the yield of …
Artificial intelligence: a promising tool in exploring the phytomicrobiome in managing disease and promoting plant health
L Zhao, S Walkowiak, WGD Fernando - Plants, 2023 - mdpi.com
There is increasing interest in harnessing the microbiome to improve cropping systems. With
the availability of high—throughput and low—cost sequencing technologies, gathering …
the availability of high—throughput and low—cost sequencing technologies, gathering …