This research aimed to investigate heterogeneity regarding governance, agricultural productivity, and food security between developed and developing nations. Utilizing a three-stage least squares (3SLS) simultaneous equation model, this study found that governance could positively impact food security through capital accumulation and agricultural productivity in both developed and developing countries. However, the magnitude of these effects differed significantly between country groups, with developed countries showing stronger governance-food security linkages than developing countries. This study reaffirms the importance of governance while showcasing its potential to vary based on a country’s economic level. Additionally, it sheds comprehensive light on impacts of agricultural production and agricultural capital accumulation on food security.

This study explores how to integrate the generative artificial intelligence (AI) tool Midjourney into the fashion design process, emphasizing the visualization of sporty fashion concepts. The research applied Midjourney at every stage of the fashion design process: mood board, fashion sketch, flat drawing, production package, fashion show presentation, and store display and sales. Specifically, sporty fashion was selected as the theme, and customized prompts were developed from prior research and design principles to generate visual outputs for each stage. Furthermore, three apparel design experts evaluated the AI-generated images to assess Midjourney’s practical applicability and effectiveness in each phase of the fashion design workflow. Expert evaluations revealed that Midjourney was particularly effective in the early stages, offering diverse and visually engaging imagery that supported creative ideation and mood expression. The tool allowed quick exploration of different silhouettes during the sketching stage but was imprecise in detailed forms and proportions. Limitations became more evident in the flat drawing and work instruction stages, where outputs failed to accurately reflect material textures and technical construction. Prompt refinements and referencebased prompts were tested but often resulted in inconsistent or stylized outputs. Additionally, continuity between stages was missing. Midjourney shows potential as a creative tool, but experts highlight its limitations for practical industry application. Further research is needed to improve prompt optimization and training data for enhanced accuracy and usability in AI-assisted fashion design workflows.

육성한 화단국화 품종인 황색 국화(Chrysanthemum morifolium Ramat.)인 ‘한아름볼(Hanarum Ball)’은 충남농업기술원 화훼 연구소에서 모본 ‘Gigi Gold’와 부본 ‘Jinny Ball’을 이용하여 육성되었다. ‘한아름볼’ 품종은 2014년에 인공 교배를 통해 개 발되었으며, 2015년부터 2017년까지 품종 특성을 조사한 후 2017년에 최종 선발되었다. ‘한아름볼’의 초형은 반구형으로, 노랑색 꽃잎(Yellow 5B)을 가진 반겹꽃을 지니고 있으며, 개화 기는 9월 21일이다. 초장은 36.0cm로, 초폭은 66.0cm, 화폭 은 4.1cm, 본당 착화수는 1,147개, 꽃잎수는 81.0개이며, 엽색 은 녹색(Green 137B)이어서, 대조품종인 ‘금방울’과 유사한 형 태와 색을 가지고 있으나, 꽃크기와 착화수, 개화시기에서 차이 를 보였다. ‘한아름볼’은 도로변이나 화단 등 조경용으로 활용 가능하며, 화훼 농가에 새로운 소득원을 제공할 수 있는 품종으 로 기대된다.