Growth Performance of Chinese Cabbage using Soilless Cultivation Method

Dimas Harris Sean Keefe,Sangjin Yoon,Soonhong Kwon,권순구,박종민,김종순,정성원,최원식 한국산업융합학회 2019 한국산업융합학회 논문집 Vol.22 No.1

Growing plant in potting media without soil is known as Soilless cultivation. This method is used mostly in greenhouse cultivation to increase horticultural commodities production. Peat moss is commonly utilized as potting media substrate because of its characteristic. However, peat moss price is high because of the quantity of peat moss in nature has been decreased. Recently, most of the research is conducted to find the alternative growing medium to cultivate horticulture plant in potting media. Perlite and rice husk ash were mentioned that had a potent as alternative growing media for seasonal plants to increase agriculture production due to the lack of production area. This research aims to determine the growth of in rice husk ash, perlite and peat moss as growing substrates. The method used was the soilless cultivation. The chinese cabbage was planted in the pot with perlite media, rice husk ash media, and peat moss media. The chinese cabbage was measured after 35 days after planting. The result showed that peatmoss was more potentials in chinese cabbage growth performance than rice husk ash and perlite. Peat moss had the significant result of every research parameters such as plant height, plant weight, number of leaves, plant diameter, root length, and root weight. The best alternative for cultivation chinese cabbage without substrate based on this research was peat moss then rice husk ash and perlite.

Growth Performance of Chinese Cabbage using Soilless Cultivation Method

Keefe, Dimas Harris Sean,Yoon, Sangjin,Kwon, Soonhong,Kwon, Soongu,Park, Jongmin,Kim, Jongsoon,Chung, Songwon,Choi, Wonsik The Korean Society of Industry Convergence 2019 한국산업융합학회 논문집 Vol.22 No.1

Growing plant in potting media without soil is known as Soilless cultivation. This method is used mostly in greenhouse cultivation to increase horticultural commodities production. Peat moss is commonly utilized as potting media substrate because of its characteristic. However, peat moss price is high because of the quantity of peat moss in nature has been decreased. Recently, most of the research is conducted to find the alternative growing medium to cultivate horticulture plant in potting media. Perlite and rice husk ash were mentioned that had a potent as alternative growing media for seasonal plants to increase agriculture production due to the lack of production area. This research aims to determine the growth of in rice husk ash, perlite and peat moss as growing substrates. The method used was the soilless cultivation. The chinese cabbage was planted in the pot with perlite media, rice husk ash media, and peat moss media. The chinese cabbage was measured after 35 days after planting. The result showed that peatmoss was more potentials in chinese cabbage growth performance than rice husk ash and perlite. Peat moss had the significant result of every research parameters such as plant height, plant weight, number of leaves, plant diameter, root length, and root weight. The best alternative for cultivation chinese cabbage without substrate based on this research was peat moss then rice husk ash and perlite.

Post Pandemic Opportunities: Sustainable Development of Agriculture Industry Through Digital Transformation in Indonesia

디마스 해리스 션 키프(Dimas Harris Sean Keefe ),장현미(Hyun-Mi Jang) 한국물류학회 2023 물류학회지 Vol.33 No.1

본 연구는 COVID-19 이후, 인도네시아의 농업에 디지털 전환이 가져올 도전과제와 기회를 이해하는 것을 목표로 한다. 정부, 농업관련 기업 및 학계를 포함하여 다양한 배경을 가진 전문가를 대상으로 반구조적 인터뷰를 활용한 질적탐색을 실시하였으며, 주제 분석, SWOT분석 및 PESTLE 분석을 사용하여 수집된 데이터를 분석하였다. 연구 결과, 디지털 및 기술 혁신이 농업의 지속가능한 발전에 중요하다는 것을 알 수 있었다. 그러나 불확실한 수요, 원자재 가용성, 디지털화 관련 비용, 직원 교육 및 기업 목표 이해의 필요성, 기존 생산 수단 등 해결해야 할 과제들이 남아있는 것을 알 수 있었다. 한편, 디지털 전환 및 지속가능한 개발과 관련하여 인도네시아의 농업에 지속가능한 제품에 대한 수요 증가, 기술 발전, 잠재적 파트너십 및 협력, 정부 이니셔티브 및 자금 지원과 같은 잠재적인 기회가 있음을 알 수 있었다. 본 연구를 바탕으로 인도네시아 농업의 지속가능한 발전을 위한 디지털 전환의 중요성을 실증적으로 파악할 수 있었으며, 지속가능한 발전을 위해 파트너십과 지속가능한 개발에 대한 정부 정책의 영향에 초점을 맞춘 향후 연구를 제안할 수 있다. This study aimed to understand the challenges and opportunities of digital transformation in the agricultural industry in Indonesia. A qualitative exploratory design approach was employed, using semi-structured interviews with participants from various backgrounds, including government officials, agricultural companies, and academics. Thematic analysis, SWOT analysis and PESTLE analysis were used to analyze the data collected. The study found that digital and technology transformation is important for the sustainable development of the industry. However, there are several challenges that need to be addressed such as irregular demand, availability of raw materials, expenses related to digitalization, need for employee education and understanding of the company’s goals, and old production tools. On the other hand, the study also found that there are several opportunities for the agriculture industry in Indonesia in relation to digital transformation and sustainable development such as increased demand for sustainable products, advancements in technology, potential partnerships and collaborations, and government initiatives and funding for sustainable development. The study recommends future research to focus on partnerships and the impact of government policies on sustainable development and highlights the importance of digital transformation for the sustainable development of the agriculture industry in Indonesia

Mathematical Model and Design Optimization of Reduction Gear for Electric Agricultural Vehicle

Pandu Sandi Pratama,변재영,Eun-Suk Lee,Dimas Harris Sean Keefe,Ji-Ung Yang,정성원,최원식 한국산업융합학회 2019 한국산업융합학회 논문집 Vol.22 No.1

In electric agricultural machine the gearbox is used to increase torque and lower the output speed of the motor shaft. The gearbox consists of several shafts, helical gears and spur gears works in series. Optimization plays an important role in gear design as reducing the weight or volume of a gear set will increase its service life and improve the bearing capacity. In this paper the basic design parameters for gear like shaft diameter and face width are considered as the input variables. The bending stress and material volume is considered as the objective function. ANSYS was used to investigate the bending stress when the variable was changed. Artificial Neural Network (ANN) was used to obtain the mathematical model of the system based on the bending stress behaviour. The ANN was used since the output system is nonlinear. The Genetic Algorithm (GA) technique of optimization is used to obtain the optimized values of shaft diameter and face width on the pinion based on the ANN mathematical model and the results are compared as that obtained using the traditional method. The ANN and GA were performed using MATLAB. The simulation results were shown that the proposed algorithm was successfully calculated the value of shaft diameter and face width to obtain the minimal bending stress and material volume of the gearbox.

Mathematical Model and Design Optimization of Reduction Gear for Electric Agricultural Vehicle

Pratama, Pandu Sandi,Byun, Jae-Young,Lee, Eun-Suk,Keefe, Dimas Harris Sean,Yang, Ji-Ung,Chung, Song-Won,Choi, Won-Sik The Korean Society of Industry Convergence 2019 한국산업융합학회 논문집 Vol.22 No.1

In electric agricultural machine the gearbox is used to increase torque and lower the output speed of the motor shaft. The gearbox consists of several shafts, helical gears and spur gears works in series. Optimization plays an important role in gear design as reducing the weight or volume of a gear set will increase its service life and improve the bearing capacity. In this paper the basic design parameters for gear like shaft diameter and face width are considered as the input variables. The bending stress and material volume is considered as the objective function. ANSYS was used to investigate the bending stress when the variable was changed. Artificial Neural Network (ANN) was used to obtain the mathematical model of the system based on the bending stress behaviour. The ANN was used since the output system is nonlinear. The Genetic Algorithm (GA)　technique of optimization is used to obtain the optimized values of shaft diameter and face width on the pinion based on the ANN mathematical model and the results are compared as that obtained using the traditional method. The ANN and GA were performed using MATLAB. The simulation results were shown that the proposed algorithm was successfully calculated the value of shaft diameter and face width to obtain the minimal bending stress and material volume of the gearbox.

Tribological Properties and Friction Coefficient Prediction Model of 200μm Surfaces Micro-Textured on AISI 4140 in Soybean Crusher

Wonsik Choi(최원식),Pandu Sandi Pratama(프라타마 판두 산디),Destiani Supeno(수페노 데스티아니),Jaeyoung Byun(변재영),Ensuk Lee(이은숙),Jihee Woo(우지희),Jiung Yang(양지웅),Dimas Harris Sean Keefe(키프 디마스 하리스 신),Maynanda Brigita Chry 한국산업융합학회 2018 한국산업융합학회 논문집 Vol.21 No.5

In this research, the effect of normal load, sliding velocity, and texture density on thefriction coefficient of surfaces micro-textured on AISI 4140 under paraffin oil lubrication were investigated. The predicted tribological behavior by numerical calculation can be serves as guidance for the designer during the machine development stage. Therefore, in this research friction coefficient prediction model based on response surface methodology (RSM), support vector machine (SVM), and artificial neural network (ANN) were developed. The experimental result shows that the variation of load, speed and texture density were influence the friction coefficient. The RSM, ANN and SVM model was successfully developed based on the experimental data. The ANN model can effectively predict the tribological characteristics of micro-textured AISI 4140 in paraffin oil lubrication condition compare to RSM and SVM.

A Kinematic Model Based on the Rear Speed and Steering Angle of Three-Wheeled Agriculture Electric Vehicle

Wonsik Choi(최원식),Pandu Sandi Pratama(프라타마 판두 산디),Destiani Supeno(수페노 데스티아니),Jaeyoung Byun(변재영),Ensuk Lee(이은숙),Jiung Yang(양지웅),Dimas Harris Sean Keefe(키프 디마스 하리스 신),Yeonho Jeon(전연호),Sungwon Chung(정성원) 한국산업융합학회 2018 한국산업융합학회 논문집 Vol.21 No.5

In this research, tricycle vehicle simulation based on multi-body environment has been introduced. Mathematical model of tricycle vehicle was developed. In this research the left and right wheel speed are calculated based on the rear steering angle and velocity. The kinematic model for the three - wheel drive system was completed and the results were analyzed using the actual vehicle drawings. Through simulink vehicle performance on linear and rotation movement were simulated. Using the mathematical model the control system can be applied directly to the tricycle vehicle. The simulation result shows that the proposed vehicle model is successfully represent the movement characteristics of the real vehicle. This model assists the vehicle developer to create the controller and understand the vehicle during the development process.