Use of computational modeling combined with advanced visualization to develop strategies for the design of crop ideotypes to address food security.

ABSTRACT: 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 visualizatio

SUBMITTER: Christensen AJ 

PROVIDER: S-EPMC5892862 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature