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RISS 인기검색어
- 검색키워드
- 저자 : Mee Qi Siow (검색결과 3 건)
- 무료
- 기관 내 무료
- 유료
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Exploring the Impact of Pesticide Usage on Crop Condition: A Causal Analysis of Agricultural Factors
Mee Qi Siow,Yang Sok Kim,Mi Jin Noh,Mu Moung Cho Han (사)한국스마트미디어학회 2023 스마트미디어저널 Vol.12 No.10
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.
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Mee Qi Siow,한무명초,Yu Na Lee,Seon Yeong Yu,Mi Jin Noh,Yang Sok Kim (사)한국스마트미디어학회 2023 스마트미디어저널 Vol.12 No.10
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.
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Insights for Improving Road Safety:Focusing on Vehicle Accidents in Daegu Metropolitan City
Mee Qi Siow,Yang Sok Kim,Mi Jin Noh,Choong Kwon Lee,Sang Ill Moon,Jae Ho Shin 한국스마트미디어학회 2023 스마트미디어저널 Vol.12 No.11
Road accidents not only caused loss of human lives but also costed 3% of gross domestic product in most of the countries. The road accidents pose significant challenges to public safety and urban transportation management. There is a need to identify the high-risk area of accidents along with the critical day of week and vulnerable time period in order to implement effective preventive measures and optimizing the resource allocation. We collected 5,012 accident data from 대구교통종합정보. This study identified the high-risk locations, days of week, and time periods for accidents in Daegu and estimated the conditional probabilities of accidents occurring based on combinations of location, day of the week, and time period. The result is visualized in the form of dashboard in Tableau. This study holds substantial practical significance for urban planners, transportation authorities, and policymakers in Daegu to strategically allocate resources for traffic management, law enforcement, and targeted safety campaigns.
ScienceON
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