• Title/Summary/Keyword: agricultural automation

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A Study on the Design Automation of R/C Beam by the Finite Element Method and Truss Model Approach (유한요소법과 트러스모델에 의한 철근콘크리트 보 부재의 설계자동화에 관한 연구)

  • 엄대호;이정재;윤성수;김한중
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 1998.10a
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    • pp.119-123
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    • 1998
  • New design automation method of R/C beam based on the finite element method and the nonlinear truss model approach has been presented. The proposed method can substitute inaccurate existing method, which has limitation in its application, provide accurate and efficient design results for any type of R/C beam.

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A Study on the Design Automation of R/C Beam Using Analogy Evolutionary Procedure (유사 점진적 최적화 기법에 의한 철근콘크리트 구조물의 설계자동화에 관한 연구)

  • 엄대호;이정재;윤성수;김한중
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 1999.10c
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    • pp.219-224
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    • 1999
  • In this study New design automation method of R/C structure based on the finite element method and the analogy evolution ary procedure was developed . This system is the efficient tool to support Reinforcement Arrangement of R/C structure. The anology evolutionary procecure is similar to the evolutionary procedure proposed by Xie and Steven.

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Development of a Linear Chemigation System (가로주행식 케미게이션 시스템의 개발)

  • 구영모;배영환;박금주;정상옥
    • Journal of Biosystems Engineering
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    • v.26 no.2
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    • pp.93-104
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    • 2001
  • A linear chemigation system, integrating agrichemical appication units of pesticide and fertilizer into an irrigation system, was selected as a suitable model for the cost savings in farm management and automation. Technical designs were conducted in the areas of structure, power, drive, control, and hydraulic systems. An experimental farm was sectioned into the fields of 40m by 200m and systemized with the linear-move chemigation system of 36m in span. The chemigation system consisted of a base unit monitoring and controlling overall operation, and a driving unit traveling linearly and injecting agrichemicals. Monitoring and interlocking systems were utilized against unexpected malfunctions of power, injection and drive systems using radio freuency modems between the units. The system can be also modified to various farm sizes and stationary systems of indoor and outdoor.

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Development of Open Water Management Program(OWMP) for Water Management Automation System with Open Architecture (물관리자동화시스템을 위한 개방형 운영 프로그램 개발)

  • 김선주;김필식;윤찬영;박재홍
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.43 no.5
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    • pp.83-92
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    • 2001
  • As a result of the recent water resources crisis, development of water management automation system becomes important. This system should be developed with open architecture in order to flexibly meet the spacial and time change of irrigation water demand. Thereby, water management automation system requires open architecture and suitable software program. This study presents an application of object-oriented methodology for Open Water Management Program(OWMP). Accordingly, OWMP provides a high degree of reliability which allows modification of parameters by change of region or time to be possible. OWMP consists of Data Base Management System(DBMS) and Model System. DBMS makes it possible to analyze data related with planning water schedule and establishing database. Model System calculates reservoir inflow, reservoir effluent and basin water demand. An operator decides the reservoir operation with results of Model System and DBMS. OWMP could be adapted to the planning and decision for saving water.

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Perception on Functions of Rural Spaces and Agricultural Innovation -Through a Survey on Solar Panels and Automation Technology- (농업기술 발달과 농촌공간 기능에 관한 일반인의 인식 분석 - 태양광 패널과 자동화 기술에 대한 설문을 통해 -)

  • Lee, Jimin
    • Journal of Korean Society of Rural Planning
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    • v.29 no.3
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    • pp.69-78
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    • 2023
  • Rural spaces are experiencing an increasing demand for novel functionalities and adaptations driven by technological advancements in agriculture and rural areas. This study aimed to investigate the public perception of rural spaces in the context of evolving agricultural technologies, specifically focusing on photovoltaic power generation, and the ensuing competition among various functions of rural spaces. A survey was conducted with a participant sample of 330, revealing that the majority of respondents prioritize agricultural production as the primary function of farmland. Furthermore, the survey results indicated that the installation of solar panels on farmland is perceived as a complex issue that affects multiple aspects, such as the landscape, local economy, ecological environment, climate change, and income. Additionally, disparities in responses to landscape-related questions were observed based on age, perception of agricultural land functions, and opinions on technological adoption. This finding suggests that the landscape is poised to become a significant factor in future agricultural and rural transformations. The findings of this survey can provide valuable contributions to the preparation of changes catalyzed by advancements in agricultural technology. Moreover, they offer guidance on the key factors that need to be taken into account when introducing new functions to rural spaces.

AUTOMATION AND ROBOT APPLICATION IN AGRICULTURAL PRODUCTIONS AND BIO-INDUSTRIES

  • Sevila, Francis
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 1996.06c
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    • pp.142-159
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    • 1996
  • Engineering of automated tools for the agro-food industries and the rural world activities have to pick up two challenges : to answer the immediate important problems related to the situation of these industries, and to imaging the tools that their professional will need next century. Creating or modifying automated tools in the next few will be made taking into account parameters either technical (environmental protection, health and safety), or social and economical (investment , employment). There will be a strong interaction with disciplines like ecology, medicine, ergonomy, psycho-sociology , etc. , The partners for such a research, tools manufactures and users, should have an early involvement in its content, in order to find rapidly the solution to the drastic problems they are meeting. On a longer term , during the next 20 years , there will be an important evolution of the rural space management and of the food processes. This will imply the emergence of new types of activities and know-how's , with lines of automated tools to be invented and developed , like : micro-system for organic localized tasks -mobile and adaptive equipments highly autonomous for natural space actions - device for perception , decision and control reproducing automatically the expert behaviors of human operators. Design of such automated tools need to overcome technological difficulties like the automation of the expert-decision process, or the management of complex design.

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Growth Monitoring for Soybean Smart Water Management and Production Prediction Model Development

  • JinSil Choi;Kyunam An;Hosub An;Shin-Young Park;Dong-Kwan Kim
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2022.10a
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    • pp.58-58
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    • 2022
  • With the development of advanced technology, automation of agricultural work is spreading. In association with the 4th industrial revolution-based technology, research on field smart farm technology is being actively conducted. A state-of-the-art unmanned automated agricultural production demonstration complex was established in Naju-si, Jeollanam-do. For the operation of the demonstration area platform, it is necessary to build a sophisticated, advanced, and intelligent field smart farming model. For the operation of the unmanned automated agricultural production demonstration area platform, we are building data on the growth of soybean for smart cultivated crops and conducting research to determine the optimal time for agricultural work. In order to operate an unmanned automation platform, data is collected to discover digital factors for water management immediately after planting, water management during the growing season, and determination of harvest time. A subsurface drip irrigation system was established for smart water management. Irrigation was carried out when the soil moisture was less than 20%. For effective water management, soil moisture was measured at the surface, 15cm, and 30cm depth. Vegetation indices were collected using drones to find key factors in soybean production prediction. In addition, major growth characteristics such as stem length, number of branches, number of nodes on the main stem, leaf area index, and dry weight were investigated. By discovering digital factors for effective decision-making through data construction, it is expected to greatly enhance the efficiency of the operation of the unmanned automated agricultural production demonstration area.

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