Abstract:

[Purpose] Due to the impact of the big data, the trend of using computing in scientific research has become obvious. Computational scientific research has become an important direction for reforming scientific research models in the new era. [Methods] Through analysis of the background, connotation, and concept of computational scientific research, we discuss the new demand of the computational scientific research under the data-intensive environment from three aspects: infrastructure, research objects, and research methods. [Results] Based on these demands, the enlightenment for developing agricultural scientific research is presented from five aspects: environment creation, data sharing, collaboration system, equipment development, and computational thinking, which will help improve the ability of the research for "integrating into the environment and embedded in the process" in agricultural innovation and management, effectively supporting the transformation and upgrading of computational scientific research in the agricultural field.

Key words: computational scientific research, data-intensive environment, agricultural research, application practice, enlightenment