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http://dx.doi.org/10.17661/jkiiect.2021.14.3.184

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

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)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.14, no.3, 2021 , pp. 184-192 More about this Journal
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).
Keywords
Irrigation control; Plant weight; Root management; SaaS; Smartfarm;
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