Can exascale computing and explainable artificial intelligence applied to plant biology deliver on the United Nations sustainable development goals?

被引：40

作者：

Streich, Jared ^{[1
]}

Romero, Jonathon ^{[1
,2
]}

Gazolla, Joao Gabriel Felipe Machado ^{[1
]}

Kainer, David ^{[1
]}

Cliff, Ashley ^{[1
,2
]}

Prates, Erica Teixeira ^{[1
]}

Brown, James B. ^{[3
]}

Khoury, Sacha ^{[4
]}

Tuskan, Gerald A. ^{[1
]}

Garvin, Michael ^{[1
]}

Jacobson, Daniel ^{[1
,2
,5
]}

Harfouche, Antoine L. ^{[1
,6
]}

机构：

[1] Oak Ridge Natl Lab, DOE Ctr Bioenergy Innovat, Biosci Div, Oak Ridge, TN 37831 USA

[2] Univ Tennessee, Bredesen Ctr Interdisciplinary Interdisciplinary, Knoxville, TN 37996 USA

[3] Lawrence Berkeley Natl Lab, Div Environm Genom & Syst Biol, Mol Ecosyst Biol Dept, Berkeley, CA 94720 USA

[4] Univ Cambridge, Dept Plant Sci, Cambridge CB2 3EA, England

[5] Univ Tennessee, Dept Psychol, Knoxville, TN 37996 USA

[6] Univ Tuscia, Dept Innovat Biol Agrofood & Forest Syst, I-01100 Viterbo, VT, Italy

来源：

CURRENT OPINION IN BIOTECHNOLOGY | 2020年 / 61卷

基金：

欧盟第七框架计划;

关键词：

PREDICTION;

D O I：

10.1016/j.copbio.2020.01.010

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Human population growth and accelerated climate change necessitate agricultural improvements using designer crop ideotypes (idealized plants that can grow in niche environments). Diverse and highly skilled research groups must integrate efforts to bridge the gaps needed to achieve international goals toward sustainable agriculture. Given the scale of global agricultural needs and the breadth of multiple types of omics data needed to optimize these efforts, explainable artificial intelligence (AI with a decipherable decision making process that provides a meaningful explanation to humans) and exascale computing (computers that can perform 1018 floating-point operations per second, or exaflops) are crucial. Accurate phenotyping and daily-resolution climatype associations are equally important for refining ideotype production to specific environments at various levels of granularity. We review advances toward tackling technological hurdles to solve multiple United Nations Sustainable Development Goals and discuss a vision to overcome gaps between research and policy.

引用

页码：217 / 225

页数：9