2026 Volume 95 Issue 1 Pages 85-90
In order to “visualize” the impact of cultivation management on yield and quality in large-scale rice farming management entities that use various cultivars over a wide range of cropping seasons, we created a Web application using the “shiny” package of R language to create graphs from comprehensively collected field-specific datasets. As farming data, we used a dataset with 1149 fields from 2019 to 2024, obtained from an agricultural production corporation in southern Ibaraki Prefecture. When users of this application choose the “productivity indices” to display yield or unmatured grain weight ratio, along with year and cultivar, graphs are drawn from the filtered data in real time. Types of graphs displayed are 1) hierarchical distribution map of “productivity indices” and scatter diagram between 2) harvest date or 3) total nitrogen fertilization amount and “productivity index”, and cultivars and field location blocks are distinguished by color filling and symbol shapes. Through the “visualization”, the users should be able to understand the effects of the collected cultivation management data on “productivity indices” more easily and become more aware of problems. When this application is used by a small number of specific users, such as planners in a management entity, it is easiest to copy the source code of the application and the data file to the designated folder on a computer with the R language installed and run it.
