This study examines and proposes standardization approaches to address the heterogeneous issues of metadata in drone imagery within the agricultural sector. Image metadata comes in various formats depending on different camera manufacturers, with most utilizing EXIF and XMP. The metadata of cameras used in fixed-wing and rotary-wing platforms, along with the metadata requirements in image alignment software, were analyzed for sensors like DJI XT2, MicaSense RedEdge-M, and Sentera Double4K. In the agricultural domain, multispectral imagery is crucial for vegetation analysis, making the provision of such imagery essential. Based on Pix4D SW, a comparative analysis of metadata attributes was performed, and necessary elements were compiled and presented as a proposed standardization (draft) in the form of tag information.

Rice is the most important staple food and the consumption is increasing in Europe and America. It is expected that the rice price will be increased due to the unstable supply and demand because of abiotic stress. Experts expect that the rice supply of Korea will be deficient in 2050 for the reason of global warming. Conventional breeding methods need to be supplemented with recent biotechnology to meet the problem such as growing population and climate change. Using rice biotechnology, a number of agronomically important traits and nutritional value have been improved. In this paper, the current situation of rice cultivation and production situation and supply and consumption in the major country were investigated to prepare future food security. Also the research trends of rice biotechnology and kinds of transformed rice as well as safety issues were reviewed by considering the scientific, social and economic values of rice.