Korean Institute of Smart Media最新文献

Journal of Knowledge Information Technology and Systems) 知识信息技术与系统期刊）

Korean Institute of Smart Media Pub Date : 2023-11-30 DOI: 10.30693/smj.2023.12.10.55

Hyun Jun Kim, Man Bok Park, Meong Hyun Lee

{"title":"Journal of Knowledge Information Technology and Systems)","authors":"Hyun Jun Kim, Man Bok Park, Meong Hyun Lee","doi":"10.30693/smj.2023.12.10.55","DOIUrl":"https://doi.org/10.30693/smj.2023.12.10.55","url":null,"abstract":"Innovation and change are occurring rapidly in the agriculture and livestock industry, and new technologies such as smart barns are being introduced, and data that can be used to control equipment is being collected by utilizing various sensors. However, there are various challenges in the operation of barns, and virtual sensor technology is needed to solve these challenges. In this paper, we define various data items and sensor data types used in livestock farms, study cases that utilize virtual sensors in other fields, and implement and design a virtual sensor system for the final smart livestock farm. MBE and EVRMSE were used to evaluate the finalized system and analyze performance indicators. As a result of collecting and managing data using virtual sensors, there was no obvious difference in data values from physical sensors, showing satisfactory results. By utilizing the virtual sensor system in smart livestock farms, innovation and efficiency improvement can be expected in various areas such as livestock operation and livestock health status monitoring. This paper proposes an innovative method of data collection and management by utilizing virtual sensor technology in the field of smart livestock, and has obtained important results in verifying its performance. As a future research task, we would like to explore the connection of digital livestock using virtual sensors.","PeriodicalId":249252,"journal":{"name":"Korean Institute of Smart Media","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139202336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Study on the Antioxidant Activity and Phenolic Compound Content of Cnidium officinale Makino Cultivated in a Temperature and Carbon Dioxide-Controlled Environment 关于在温度和二氧化碳控制环境下栽培的牧野蛇床子的抗氧化活性和酚类化合物含量的研究

Korean Institute of Smart Media Pub Date : 2023-11-30 DOI: 10.30693/smj.2023.12.10.102

Cheol-Joo Chae, Kyeong Cheol Lee, Ha Young Back, Yeong Geun Song, Sohee Jang, Eun-Hwa Sohn, Won-Kyun Joo, Hyun Jung Koo

{"title":"A Study on the Antioxidant Activity and Phenolic Compound Content of Cnidium officinale Makino Cultivated in a Temperature and Carbon Dioxide-Controlled Environment","authors":"Cheol-Joo Chae, Kyeong Cheol Lee, Ha Young Back, Yeong Geun Song, Sohee Jang, Eun-Hwa Sohn, Won-Kyun Joo, Hyun Jung Koo","doi":"10.30693/smj.2023.12.10.102","DOIUrl":"https://doi.org/10.30693/smj.2023.12.10.102","url":null,"abstract":"This study aimed to investigate the growth parameters and antioxidant activity of Cnidium officinale under controlled temperature and carbon dioxide levels during the cultivation period. The plants were cultivated for four months, each group being set at the average temperature of the cultivation area +1.8°C/445ppm(SSP1), +3.6°C/872ppm(SSP3), and +4.4°C/1,142ppm(SSP5), respectively. During the cultivation period, the growth, Top/Root ratio, and leaf weight ratio(LWR) of C. officinale slightly decreased in SSP3 and SSP5 compared to SSP1, while the root weight ratio(RWR) increased. The antioxidant activity and related phenolic compound content in the aerial parts of C. officinale increased proportionally with temperature and CO2 concentration. However, an adverse effect was observed in the high-concentration SSP5 group. Conversely, in the roots, the SSP5 group exhibited the highest antioxidant activity. This study suggests that it can be utilized as fundamental data necessary for understanding the correlation between environmental conditions and the growth as well as physiological activities of medicinal plants.","PeriodicalId":249252,"journal":{"name":"Korean Institute of Smart Media","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139207640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A study on the impact on predicted soil moisture based on machine learning-based open-field environment variables 基于机器学习的露地环境变量对预测土壤湿度影响的研究

Korean Institute of Smart Media Pub Date : 2023-11-30 DOI: 10.30693/smj.2023.12.10.47

Gwang Hoon Jung, Meong-Hun Lee

{"title":"A study on the impact on predicted soil moisture based on machine learning-based open-field environment variables","authors":"Gwang Hoon Jung, Meong-Hun Lee","doi":"10.30693/smj.2023.12.10.47","DOIUrl":"https://doi.org/10.30693/smj.2023.12.10.47","url":null,"abstract":"As understanding sudden climate change and agricultural productivity becomes increasingly important due to global warming, soil moisture prediction is emerging as a key topic in agriculture. Soil moisture has a significant impact on crop growth and health, and proper management and accurate prediction are key factors in improving agricultural productivity and resource management. For this reason, soil moisture prediction is receiving great attention in agricultural and environmental fields. In this paper, we collected and analyzed open field environmental data using a pilot field through random forest, a machine learning algorithm, obtained the correlation between data characteristics and soil moisture, and compared the actual and predicted values of soil moisture. As a result of the comparison, the prediction rate was about 92%. It was confirmed that the accuracy was . If soil moisture prediction is carried out by adding crop growth data variables through future research, key information such as crop growth speed and appropriate irrigation timing according to soil moisture can be accurately controlled to increase crop quality and improve productivity and water management efficiency. It is expected that this will have a positive impact on resource efficiency.","PeriodicalId":249252,"journal":{"name":"Korean Institute of Smart Media","volume":"48 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139207468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Harvest Forecasting Improvement Using Federated Learning and Ensemble Model 利用联合学习和集合模型改进收成预测

Korean Institute of Smart Media Pub Date : 2023-11-30 DOI: 10.30693/smj.2023.12.10.9

J. j, Jin Gwang Koh, Sung Keun Lee

引用次数: 0

Traceability Number-Driven Livestock Inventory Management IoT System Utilizing Electronic Scale Access Control Technology 利用电子秤访问控制技术的可追溯性编号驱动牲畜库存管理物联网系统

Korean Institute of Smart Media Pub Date : 2023-11-30 DOI: 10.30693/smj.2023.12.10.85

Youchan Jeon

引用次数: 0

A Study on the Thermal Prediction Model of the Heat Storage Tank for the Optimal Use of Renewable Energy 优化可再生能源利用的蓄热箱热预测模型研究

Korean Institute of Smart Media Pub Date : 2023-11-30 DOI: 10.30693/smj.2023.12.10.63

H. Oh, KyeongMin Jang, JeeYoung Oh, Myeongbae Lee, Jangwoo Park, Yongyun Cho, ChangSun Shin

{"title":"A Study on the Thermal Prediction Model of the Heat Storage Tank for the Optimal Use of Renewable Energy","authors":"H. Oh, KyeongMin Jang, JeeYoung Oh, Myeongbae Lee, Jangwoo Park, Yongyun Cho, ChangSun Shin","doi":"10.30693/smj.2023.12.10.63","DOIUrl":"https://doi.org/10.30693/smj.2023.12.10.63","url":null,"abstract":"Recently, energy consumption for heating costs, which is 35% of smart farm energy costs, has increased, requiring energy consumption efficiency, and the importance of new and renewable energy is increasing due to concerns about the realization of electricity bills. Renewable energy belongs to hydropower, wind, and solar power, of which solar energy is a power generation technology that converts it into electrical energy, and this technology has less impact on the environment and is simple to maintain. In this study, based on the greenhouse heat storage tank and heat pump data, the factors that affect the heat storage tank are selected and a heat storage tank supply temperature prediction model is developed. It is predicted using Long Short-Term Memory (LSTM), which is effective for time series data analysis and prediction, and XGBoost model, which is superior to other ensemble learning techniques. By predicting the temperature of the heat pump heat storage tank, energy consumption may be optimized and system operation may be optimized. In addition, we intend to link it to the smart farm energy integrated operation system, such as reducing heating and cooling costs and improving the energy independence of farmers due to the use of solar power. By managing the supply of waste heat energy through the platform and deriving the maximum heating load and energy values required for crop growth by season and time, an optimal energy management plan is derived based on this.","PeriodicalId":249252,"journal":{"name":"Korean Institute of Smart Media","volume":"64 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139205812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the Impact of Pesticide Usage on Crop Condition: A Causal Analysis of Agricultural Factors 探索农药使用对作物状况的影响：农业因素的因果分析

Korean Institute of Smart Media Pub Date : 2023-11-30 DOI: 10.30693/smj.2023.12.10.29

J. j

{"title":"Exploring the Impact of Pesticide Usage on Crop Condition: A Causal Analysis of Agricultural Factors","authors":"J. j","doi":"10.30693/smj.2023.12.10.29","DOIUrl":"https://doi.org/10.30693/smj.2023.12.10.29","url":null,"abstract":"Human lifestyle is affected by the agricultural development in the last 12,000 years ago. The development of agriculture is one of the reasons that global population surged. To ensure sufficient food production for supporting human life, pesticides as a more effective and economical tools, are extensively used to enhance the yield quality and boost crop production. This study investigated the factors that affect crop production and whether the factors of pesticide usage are the most important factors in crop production using the dataset from Kaggle that provides information based on crops harvested by various farmers. Logistic regression is used to investigate the relationship between various factors and crop production. However, the logistic regression is unable to deal with predictors that are related to each other and identifying the greatest impact factor. Therefore, causal discovery is applied to address the above limitations. The result of causal discovery showed that crop condition is greatly impacted by the estimated insects count, where estimated insects count is affected by the factors of pesticide usage. This study enhances our understanding of the influence of pesticide usage on crop production and contributes to the progress of agricultural practices.","PeriodicalId":249252,"journal":{"name":"Korean Institute of Smart Media","volume":"39 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139200070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance Evaluation of Object Detection Deep Learning Model for Paralichthys olivaceus Disease Symptoms Classification 用于橄榄鱼疾病症状分类的物体检测深度学习模型性能评估

Korean Institute of Smart Media Pub Date : 2023-11-30 DOI: 10.30693/smj.2023.12.10.71

Kyung won Cho, Ran Baik, Jong Ho Jeong, Chan Jin Kim, Han-Suk Choi, Seok Won Jung, H. Son

{"title":"Performance Evaluation of Object Detection Deep Learning Model for Paralichthys olivaceus Disease Symptoms Classification","authors":"Kyung won Cho, Ran Baik, Jong Ho Jeong, Chan Jin Kim, Han-Suk Choi, Seok Won Jung, H. Son","doi":"10.30693/smj.2023.12.10.71","DOIUrl":"https://doi.org/10.30693/smj.2023.12.10.71","url":null,"abstract":"Paralichthys olivaceus accounts for a large proportion, accounting for more than half of Korea's aquaculture industry. However, about 25-30% of the total breeding volume throughout the year occurs due to diseases, which has a very bad impact on the economic feasibility of fish farms. For the economic growth of Paralichthys olivaceus farms, it is necessary to quickly and accurately diagnose disease symptoms by automating the diagnosis of Paralichthys olivaceus diseases. In this study, we create training data using innovative data collection methods, refining data algorithms, and techniques for partitioning dataset, and compare the Paralichthys olivaceus disease symptom detection performance of four object detection deep learning models(such as YOLOv8, Swin, Vitdet, MvitV2). The experimental findings indicate that the YOLOv8 model demonstrates superiority in terms of average detection rate (mAP) and Estimated Time of Arrival (ETA). If the performance of the AI model proposed in this study is verified, Paralichthys olivaceus farms can diagnose disease symptoms in real time, and it is expected that the productivity of the farm will be greatly improved by rapid preventive measures according to the diagnosis results","PeriodicalId":249252,"journal":{"name":"Korean Institute of Smart Media","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139198756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Apple detection dataset with visibility and deep learning detectionusing adaptive heatmap regression 利用自适应热图回归进行可见性和深度学习检测的苹果检测数据集

Korean Institute of Smart Media Pub Date : 2023-11-30 DOI: 10.30693/smj.2023.12.10.19

Tae-Woong Yoo, Dasom Seo, Minwoo Kim, Seul Ki Lee, Il-Seok Oh

引用次数: 0

Empowering Agriculture: Exploring User Sentiments and Suggestions for Plantix, a Smart Farming Application 增强农业权能：探索用户对智能农业应用程序 Plantix 的看法和建议

Korean Institute of Smart Media Pub Date : 2023-11-30 DOI: 10.30693/smj.2023.12.10.38

J. j

{"title":"Empowering Agriculture: Exploring User Sentiments and Suggestions for Plantix, a Smart Farming Application","authors":"J. j","doi":"10.30693/smj.2023.12.10.38","DOIUrl":"https://doi.org/10.30693/smj.2023.12.10.38","url":null,"abstract":"Farming activities are transforming from traditional skill-based agriculture into knowledge-based and technology-driven digital agriculture. The use of intelligent information and communication technology introduces the idea of smart farming that enables farmers to collect weather data, monitor crop growth remotely and detect crop diseases easily. The introduction of Plantix, a pest and disease management tool in the form of a mobile application has allowed farmers to identify pests and diseases of the crop using their mobile devices. Hence, this study collected the reviews of Plantix to explore the response of the users on the Google Play Store towards the application through Latent Dirichlet Allocation (LDA) topic modeling. Results indicate four latent topics in the reviews: two positive evaluations (compliments, appreciation) and two suggestions (plant options, recommendations). We found the users suggested the application to additional plant options and additional features that might help the farmers with their difficulties. In addition, the application is expected to benefit the farmer more by having an early alert of diseases to farmers and providing various substitutes and a list of components for the remedial measures.","PeriodicalId":249252,"journal":{"name":"Korean Institute of Smart Media","volume":"75 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139208253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0