최근 귀농을 희망하는 사람들이 증가하고 있으며 이들 대부분은 노지재배 보다는 상대적으로 소득이 높은 시설재배를 선호하는 경향이지만 부족한 영농경험과 경영정보 부재로 농업 실패 확률이 높은 실정이다. 본 연구는 시설재배를 원하는 귀농인의 초기 시설재배 경영의사결정 지원 인터페이스를 제안한다. 제안하는 인터페이스는 표준화 모델링언어인 UML(Unified Modeling Language)로 설계되며, 사용자가 입력하는 재배지역, 선택작목, 재배형태 등의 정보에 따라 토지/작물 적합성, 토지/시설비용 및 경영비 등의 주요 의사결정 정보를 제공한다. 제안하는 인터페이스를 통해, 시설재배 희망 귀농인은 원하는 대상지에서의 시설재배를 위한 초기 의사결정 정보 획득을 통해 효과적이고 빠르며체계적인 작물 시설재배 설계가 가능하다.
Recently, the number of people wishing to return to farming is increasing, However, the lack of farming experience and management information of returnees is one of the main reasons for increasing the probability of agricultural failure. This study proposes an interface to support early facility cultivation management decision-making for returnees who want facility cultivation. The proposed interface is designed with UML(Unified Modeling Language) and provides key decision-making information such as land/crop suitability, land/facility costs, and management costs according to input data such as cultivation areas, selected crops, and cultivation types selected by the user. Through the proposed interface, facility cultivators can effectively and quickly acquire initial decision-making information for facility cultivation in the desired target area.
Seungho Son, Ho-sang Lee, The Characteristics of Population Distribution and Change in Rural Areas:1995-2020, Journal of Korean Geographical Society, Vol.56, No6, pp.607-622, 2021
Sanghyeon Ju, Local Government Depopulation Status and Policy Alternatives, Journal of Korean Autonomous Administration, Vol.35. No.3, pp,295-321. 2021.
Chul-Soo Kim, Increase in Return to the Farm and Rural and Launch of Agricultural Portal Site, Journal of Agriculture, Vol. 61, No12, pp.54-57, 2017.
Songlu Li, Sejong Oh, Research and Design of Decision Support System for Environmental Control for Greenhouse, Part 2 of the Journal of the Korean Society of Industrial Technology's Autumn Conference, pp.642-644, 2014.
Giduck Kwon, Korean Smart Farm Model Using Big Data and ICT Convergence, Journal of Industrial Studies, Vol.44, No.3, pp.69-88, 2020.
Lahoon Cho, Minki Nam, Youngkwang Jeon, Seokjun Kim, Seungyoung Park, Daehyun Kim, Development and Validation of the Temperature and Humidity Prediction Algorithm in the Smartfarm using Deep Learning, Journal of the Korean Society of Agricultural Machinery, Vol.26. No.2, pp.123-123. 2021.
Hyoungsuk Yoo, Donghyun Lee, Current Status and Activation Plan of Returning to Farming and Rural Areas, Journal of Agricultural Cooperative Economic Review, Vol.55, No.0, pp.1-22, 2021.
Won Suk Lee, Joowon Choi, Jungjae Lee, Yongtae Shin, A Study on the Establishment of Information Support System to Promote Decision Making in Rural and Rural Areas, Journal of Information Processing Society of Korea, Vol.27, No.2, pp.498-500, 2020.
Won Suk Lee, Sang-hyun Jang, Seung-jae Ha, Yongtae Shin, A Study on the Factors Affecting the Intention to Use the Integrated Farming and Returning Village Platform Based on Big Data, Journal of Information Processing Society of Korea, Vol.28, No.1, pp.249-252, 2021.
Moon-ho Park, Ji-eun Lim, Hwan-seok Seo, Jae-hyun Hwang, A Study on City People`s Returning Strategy for Economic Vitalization of Region, Journal of, A Study on Agricultural Management and Policy, Vol.41, No4, pp.795-820, 2014.
Ministry of Agriculture, Food and Rural Affairs, A Survey on the Status of Returned Farms and Villages in 2020 - Problems of Returning to Agriculture Policy, Statistics Korea Online Source
Won-ji Cho, Hwan-suk Seo, Byung-hoon Lee, Ho-jung Jung, A Study on the Construction of Information Platform for Rural Settlements in North Jeolla Province, Report of The Jeonbuk Research Institute, pp.1-126. 2020.
Won Suk Lee, Sang-hyun Jang, Seung-jae Ha, Yongtae Shin, A Study on the Factors Affecting the Intention to Use the Integrated Farming and Returning Village Platform Based on Big Data, Journal of the Korean Society for Information Processing, Vol.28 No.1, pp249-252, 2021.
Ju-Hee Kang, Se-Hoon Jung, Sun-Sik Nor, Won-Ho So, Chun-Bo Sim, Design and Implementation of Produce Farming Field-Oriented Smart Pest Information Retrieval System based on Mobile for u-Farm, Journal of the Korean Electronic Communications Association, Vol10. No.10, pp.1145-1156. 2015.
Dae-seok Seo, Yeon-joong Kim, Eui-jun Kim, A Plan to Establish Precision Agricultural System to Enhance Agricultural Competitiveness, Report of Korea Rural Economic Research Institute, pp.1-206. 2020
Jinuk Park, Heuihak Ahn, ByungKwan Lee, The Agriculture Decision–making System(ADS) based on Deep Learning for improving crop productivity, Journal of The Korea Institute of Information and Electronic Communication Technology, Vol.11, No5, pp.521–530, 2018.
Rural Development Administration, 2020 Agricultural and Fishery Income Estimation Data Collection, Report of the Agricultural Management Research, No.152. pp.1-240, 2021.
Jin-Dong Baeg, Big Data Based Strawberry Growing Environment Decision Making System, Journal of Next-generation Convergence Technology Association, Vol.4, No.3, pp.258-264, 2020.