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. Advances in genomics and phenomics are delivering insights into the complex biological mechanisms that underlie plant func...

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Vydáno v:	Trends in biotechnology (Regular ed.) Ročník 37; číslo 11; s. 1217 - 1235
Hlavní autoři:	Harfouche, Antoine L., Jacobson, Daniel A., Kainer, David, Romero, Jonathon C., Harfouche, Antoine H., Scarascia Mugnozza, Giuseppe, Moshelion, Menachem, Tuskan, Gerald A., Keurentjes, Joost J.B., Altman, Arie
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England Elsevier Ltd 01.11.2019 Elsevier Limited Elsevier
Témata:	Accuracy Adaptability Agricultural production Algorithms Artificial intelligence augmented breeding BASIC BIOLOGICAL SCIENCES Big Data biomass production climate Clustering Crops Data analysis Data integration Ecosystem services explainable AI explainable AIfield phenomics field phenomics Food security Genomics genotype Genotypes Internal Medicine Laboratories next-generation artificial intelligence phenomics phenotype Phenotypes Plant breeding Principal components analysis Proteomics Public access R&D Research & development Satellites smart farming Structured Query Language-SQL United States > US next-generation artificial intelligence genomics explainable AI field phenomics smart farming augmented breeding
ISSN:	0167-7799, 1879-3096, 1879-3096
On-line přístup:	Získat plný text
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