인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
The article substantiates the application of the cluster analysis method on empirical data. A system of indicators of agricultural production has been designed. A multidimensional grouping by the method of cluster analysis was carried out, the regions were grouped into clusters according to the level of resource provision in the industry, the effectiveness and efficiency of production, its technical, scientific potential and support. The characteristics of each cluster are given, the main strengths and weaknesses of the agriculture of the regions are shown according to the selected indicators. Practical recommendations have been developed for the regions of each cluster, which will allow using the totality of available resources, conditions and factors to increase the efficiency and sustainability of production in addition to increasing its social and environmental orientation. Cluster analysis made it possible to implement a systematic approach to the study of agricultural production, to equally take into account various indicators, to lay dynamic changes in a spatial study. A drawback of the study is the limited data and access to information. Some aspects of the organization and management of production are briefly described.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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