2021 Volume 50 Issue 2-3 Pages 55-74
Research on the impact of climate change on our society is becoming more important in the current situation. Crops are not only particularly susceptible to climate change, but also they are the basis of people's lives, and from the perspective of food security, they are also important issues that can be said to be one of the most important elements in society. On the other hand, the studies on the relationship between climate change and crop productivity are insufficient despite the importance of analyzing it from a more elaborate statistical perspective. This paper aims to promote and help researchers with statistical and informatics backgrounds participate in studying the impact of climate change on crop productivity. First, we introduce the particularity of the study of climate change, and then point out that the current statistical analysis on crop productivity is inadequate in dealing with factors other than meteorology. We also briefly discuss the application of machine learning analyses and the relationship between process-based crop models and statistical models.
