DOI QR코드

DOI QR Code

Regional irrigation control modeling and regional climate characteristics Research on the correlation

지역별 관수제어 모델링 및 지역별 기후 특성과의 연관성에 관한 연구

  • Jeong, Jin-Hyoung (Department of Biomedical IT, Catholic Kwandong University) ;
  • Jo, Jae-Hyun (Department of Bio-medical Engineering, Catholic Kwandong University) ;
  • Kim, Seung-Hun (Department of Bio-medical Engineering, Catholic Kwandong University) ;
  • Choi, Ahnryul (Department of Bio-medical Engineering, Catholic Kwandong University) ;
  • Lee, Sang-Sik (Department of Bio-medical Engineering, Catholic Kwandong University)
  • Received : 2021.06.16
  • Accepted : 2021.06.23
  • Published : 2021.06.30

Abstract

Domestic agriculture is facing real problems, such as a decrease in the population in rural areas, a shortage of labor due to an aging population, and increased risks due to the deepening of climate change. Smart farming technology is being developed to solve these problems. In the development of smart agricultural technology, irrigation control plays an important role in creating an optimal growth environment and is an important issue in terms of environmental protection. This paper is about the study of collecting and analyzing the rhizosphere environmental data of domestic paprika farms for the purpose of improving the quality of crops, reducing production costs, and increasing production. Irrigation control modeling presented in this paper Control modeling is to graphically present changes in a medium weight, feed, and drainage due to regional climatic features. To derive the graph, the parameters were determined through data collection and analysis, and the suggested irrigation control modeling method was applied to the collected rhizosphere environmental data to control irrigation in 6 regions (Gangwon-do, Chungnam, Jeonbuk, Jeonnam, Gyeongbuk, and Gyeongnam). The parameters were obtained and graphs were derived from them. After that, a study was conducted to analyze the derived parameters to verify the validity of the irrigation control modeling method and to correlate them with climatic features (average temperature and precipitation).

농촌의 인구 감소, 고령화에 따른 노동력 부족과 기후변화 심화에 따른 다양한 리스크 확대 등 국내 농업은 현실적 문제를 마주하고 있다. 이러한 문제점을 해결하기 위해 스마트 농업 기술을 발전시키고 있다. 스마트 농업 기술 발전에 있어서 관수제어는 최적의 생장환경 조성에 중요한 역할을 하며 환경보호 차원에서도 중요한 이슈이다. 본 논문은 농작물의 품질 향상, 생산 비용 감소 및 생산량 증가 등을 목적으로 국내 파프리카 농가 지역의 근권 환경 데이터를 수집하고 이를 분석하여 관수제어 모델링을 제시하는 연구에 대한 내용이다. 본 논문에서 제시하는 관수제어 모델링은 지역별 기후적 특징으로 인한 배지무게, 급액, 배액의 변화를 그래프로 제시하는 것이다. 그래프 도출을 위해 데이터 수집 및 분석을 통해 매개변수를 정했으며, 제시한 관수제어 모델링 방법을 수집한 근권 환경 데이터에 적용하여 6개의 지역(강원도, 충남, 전북, 전남, 경북, 경남)의 관수제어 매개변수를 구하고 이를 통해 그래프를 도출했다. 이후 관수제어 모델링 방법의 유효성 검증을 위해 도출된 매개변수를 분석하여 기후적 특징(평균 온도 및 강수량)과 연관시켜보는 연구를 진행했다.

Keywords

Acknowledgement

This thesis was supported by the 1st generation smart plant farm industrialization technology development project of the Institute of Agriculture, Forestry and Food Technology Planning and Evaluation(320083-1).

References

  1. Nam Gi-pou, "Development of Smart Farming in Korea and the Policy Direction of Agricultural Cooperatives", Cooperative Economic Management Research Vol. 53 Page 59-81, December.2020
  2. Min J.H, Park J.Y "Technology and Standardization Trends on Smart Agriculture", Electronics and Telecommunications Trends. Vol. 33, No. 2, Mar 2018, pp. 77-85
  3. Kim Soo-kyung, Lee Hyo-jeong, Kim Joo-hee, "smart agriculture, Reimagining the value chain of agriculture", Samjong KGMP Economic Research Institute Issue Monitor No.119, December 2019
  4. Korea Institute Of Communication Sciences (Choi Young-chan, Jang Ik-hoon), "World Agriculture", The Journal of The Korean Institute of Communication Sciences 36(3), 2019.2, 9-16(8 pages)
  5. KREI(Korea Rural Economic Institute), "World Agriculture", October 2019
  6. Vasileios Moysiadis, Panagiotis Sarigiannidis a, Vasileios Vitsas, Adel Khelifi, "World Agriculture", Computer Science Review, January 2021 https://doi.org/10.1016/S1574-0137(19)30118-2
  7. COMPA(Commercializations Promotion Agency for R&D Outcomes) "Smart Farm Technology and Market Trend Report" S&T Market Repott, Vol 69, November 2019
  8. Sotirios Kontogiannis, George Kokkonis, Soultana Ellinidou and Stavros Valsamidis, "Proposed Fuzzy-NN Algorithm with LoRaCommunication Protocol for Clustered Irrigation Systems" mdpi journal Future Internet, 2017, 9(4), 781, November 2017
  9. A.Merida GarciaI. Fernandez, GarciaE.Camacho PoyatoP.Montesinos, BarriosJ.A.Rodriguez Diaz, "Coupling irrigation scheduling with solar energy production in a smart irrigation management system", Journal of Cleaner Production Volume 175, 20 Pages 670-682 February 2018 https://doi.org/10.1016/j.jclepro.2017.12.093
  10. Hee Su Lee1, Sung Kyeom Kim2*, Hee Ju Lee1, Jin Hyoung Lee1, Sewoong An1, and Sang Gyu Lee3, "Soil dictionary", Development of Crop Water Stress Index for Kimchi Cabbage Precision Irrigation Control, Korean Journal of Horticultural Science & Technology 37(4), 2019.8, 490-498(9 pages)
  11. Hyun Jun Park1 . Jin Hee Park2 . Kyoung Sub Park3 . Jung Eek Son1 , "Evaluating plant stress conditions in paprika by comparing internal electrical conductivity, photosynthetic response, and sap flow, Received: 12 March 2018 / Revised: 3 September 2018 / Accepted: 7 September 2018 / Published online: 5 December 2018.
  12. Shiva Ram Bhandari1 . Min Ji Lee1 . Han Cheol Rhee2 . Gyeong Lee Choi2 . Sang Seok Oh3 . Je Taek Lee4 . Jun Gu Lee1,5, "Rapid monitoring of proline accumulation in paprika leaf sap relative to leaf position and water stress", Received: 5 September 2017 / Revised: 12 February 2018 / Accepted: 19 February 2018 / Published online: 2 July 2018.
  13. Seon Woo Park1†, Sewoong An2†, and Yurina Kwack3*, "Changes in Transpiration Rates and Growth of Cucumber and Tomato Scions and Rootstocks Grown Under Different Light Intensity Conditions in a Closed Transplant Production System", Protected Horticulture and Plant Factory, Vol. 29, No. 4:399-405, October (2020). https://doi.org/10.12791/KSBEC.2020.29.4.399
  14. Young Bae Choi1 . Jong Hwa Shin1, "Soil dictionary", Analysis of the changes in medium moisture content according to a crop irrigation strategy and the medium properties for precise moisture content control in rock wool, Received: 22 August 2018 / Revised: 28 February 2019 / Accepted: 6 March 2019 / Published online: 28 May 2019
  15. Jin-Hyoung Jeong, Chang-Mok Lim, Jae-Hyun Jo, Ju-hee Kim, Su-Hwan Kim, Ki-Young Lee, Sang-Sik Le, "A Study on the Monitoring System of Growing Environment Department for Smart Farm", Journal of Korea Institute of Information, Electronics, and Communication Technology 12(3) 2019.6, 290-298(9 pages) https://doi.org/10.17661/JKIIECT.2019.12.3.290