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Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction
The first paradigm of plant breeding involves direct selection-based phenotypic observation,
followed by predictive breeding using statistical models for quantitative traits constructed …
followed by predictive breeding using statistical models for quantitative traits constructed …
Crop phenomics and high-throughput phenoty**: past decades, current challenges, and future perspectives
Since whole-genome sequencing of many crops has been achieved, crop functional
genomics studies have stepped into the big-data and high-throughput era. However …
genomics studies have stepped into the big-data and high-throughput era. However …
A physio-morphological trait-based approach for breeding drought tolerant wheat
In the past, there have been drought events in different parts of the world, which have
negatively influenced the productivity and production of various crops including wheat …
negatively influenced the productivity and production of various crops including wheat …
Accelerating climate resilient plant breeding by applying next-generation artificial intelligence
Breeding crops for high yield and superior adaptability to new and variable climates is
imperative to ensure continued food security, biomass production, and ecosystem services …
imperative to ensure continued food security, biomass production, and ecosystem services …
Machine learning in plant science and plant breeding
Technological developments have revolutionized measurements on plant genotypes and
phenotypes, leading to routine production of large, complex data sets. This has led to …
phenotypes, leading to routine production of large, complex data sets. This has led to …
Genebank genomics bridges the gap between the conservation of crop diversity and plant breeding
Genebanks have the long-term mission of preserving plant genetic resources as an
agricultural legacy for future crop improvement. Operating procedures for seed storage and …
agricultural legacy for future crop improvement. Operating procedures for seed storage and …
Advances in optical phenoty** of cereal crops
Optical sensors and sensing-based phenoty** techniques have become mainstream
approaches in high-throughput phenoty** for improving trait selection and genetic gains …
approaches in high-throughput phenoty** for improving trait selection and genetic gains …
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 …
[HTML][HTML] Satellite-enabled enviromics to enhance crop improvement
Enviromics refers to the characterization of micro-and macroenvironments based on large-
scale environmental datasets. By providing genotypic recommendations with predictive …
scale environmental datasets. By providing genotypic recommendations with predictive …
Digital healthcare framework for patients with disabilities based on deep federated learning schemes
Utilizing digital healthcare services for patients who use wheelchairs is a vital and effective
means to enhance their healthcare. Digital healthcare integrates various healthcare …
means to enhance their healthcare. Digital healthcare integrates various healthcare …