期刊
NUTRITION REVIEWS
卷 76, 期 5, 页码 332-347出版社
OXFORD UNIV PRESS INC
DOI: 10.1093/nutrit/nux076
关键词
climate change; scientific visualization; 3D crop modeling
资金
- Foundation for Food and Agriculture Research [ID 515760]
- Institute for Sustainability, Energy, and Environment (iSEE) at the University of Illinois at Urbana-Champaign
- National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign
- Realizing Increased Photosynthetic Efficiency (RIPE) grant from the Bill and Melinda Gates Foundation
- Centrality of Advanced Digitally Enabled Science (CADENS) from the National Science Foundation [ACI-1445176]
Sustainable crop production is a contributing factor to current and future food security. Innovative technologies are needed to design strategies that will achieve higher crop yields on less land and with fewer resources. Computational modeling coupled with advanced scientific visualization enables researchers to explore and interact with complex agriculture, nutrition, and climate data to predict how crops will respond to untested environments. These virtual observations and predictions can direct the development of crop ideotypes designed to meet future yield and nutritional demands. This review surveys modeling strategies for the development of crop ideotypes and scientific visualization technologies that have led to discoveries in big data analysis. Combined modeling and visualization approaches have been used to realistically simulate crops and to guide selection that immediately enhances crop quantity and quality under challenging environmental conditions. This survey of current and developing technologies indicates that integrative modeling and advanced scientific visualization may help overcome challenges in agriculture and nutrition data as large-scale and multidimensional data become available in these fields.
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