• Title/Summary/Keyword: Agricultural Technique

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Fertirrigation for Vegetables Grown in Greenhouses

  • Putti, Fernando Ferrari;Cremasco, Camila Pires;Filho, Luis Roberto Almeida Gabriel;Reis, Andre Rodrigues Do
    • Journal of Biosystems Engineering
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    • v.39 no.4
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    • pp.400-404
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    • 2014
  • Purpose: Concerns over the quantity of available freshwater for agriculture have triggered the development of technologies intended to increase efficiency of water use, especially with regard to irrigation. A new technique called fertirrigation has been developed to use the same irrigation equipment for fertilization. Methods: Since the above-mentioned technique requires care during installation and use on farms, current analysis focuses on some of its characteristics. Results: High uniformity irrigation systems provide the best distribution of fertilizers, especially when used in combination with drip irrigation or micro-aspersion. The factors purity, compatibility, acidification, salinity, and solubility should be taken into account. Conclusions: Fertirrigation provides a significant increase in productivity as it allows for highly controlled nutrient application during the entire growing season. However, it may cause serious problems if misused or overused.

The Planning on the Professional Education System through Agricultural Technique Measurement of Women Farmer (여성농업인의 농업기술측정을 통한 전문교육체계 계획)

  • Yoon, Jun-Sang
    • The Korean Journal of Community Living Science
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    • v.18 no.2
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    • pp.247-263
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    • 2007
  • This study was complied to analyze the professional agricultural techniques level and to suggest a desirable direction for the professional education system for women farmer. The research was conducted by using in-field surveys and interviews. Data was gathered by questionnaire from 147 women farmer in five specialized crop regions: strawberry, cucumber, rose, apple, and oyster mushroom. The results obtained are as follows. First, the technique levels in computer usage and electronic commerce, machinery usage, pesticide and fertilizer utilization, facility automation, and eco-agricultural cultivation were low. Second, the demand for professional education, evaluated through technique level by standard management diagnosis, was recognized. Areas of concern included: cucumber (temperature control, carbonic acid gas control, grading, funds management), strawberry (light control, soil temperature control, irrigation watering, shipping), rose (temperature control, light control, funds management, cooperated management), oyster mushroom (growth cabinet sterilizer), and apple (flower bud pinching, defloration, fruit thinning, funds management). Based on the results of this study, the following are suggestions for the planning of a professional education system for women farmer. First, it needs to address formal education in marketing, machinery usage, facilities automation, and techniques in pesticide and fertilizer utilization. Second, it needs to be a multi- level program with appropriate terminology at every level which is suitable to each age and ability of women farmer. Third, it needs a more comprehensive manual developed by need analysis of women farmer and a larger lecturer pool for professional education.

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Developing A Stochastical Dynamic Analysis Technique for Structures Using Direct Integration Methods (직접적분법과 확률론적 유한요소법을 이용한 구조물의 확률론적 동적 해석)

  • 이정재
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.36 no.1
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    • pp.54-62
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    • 1994
  • The expanding technique of the Stochastic Finite Element Method(SFEM) is proposed in this paper for adapting direct integration methods in stochastical dynamic analysis of structures. Grafting the direct integration methods and the SFEM together, one can deal with nonlinear structures and nonstationary process problems without any restriction. The stochastical central diffrence and stochastic Houbolt methods are introduced to show the expanding technique, and their adaptabilities are discussed. Results computed by the proposed method (the Stochastic Finite Element Method in Dynamics: SFEMD) for two degree-of-free- dom system are compared with those obtained by Monte Carlo Simulation.

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A Study on the Development of Technical Guidelines for Safety and Health in Agricultural Workplaces (농작업현장에 적용 가능한 안전보건 기술지침 항목 선정에 관한 연구)

  • Jung, Wongeon;Kim, Kyungsu;Seo, Mintae;Kim, Hyocher
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.31 no.4
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    • pp.385-395
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    • 2021
  • Objectives: This study aimed to select items for technical guidelines through the guidelines of the Korean Occupational Safety and Health Agency (KOSHA) for agricultural workplaces. Methods: All 1,308 guidelines provided by KOSHA were reviewed and categorized using a Delphi technique questionnaire on their compatibility and urgency. Results: Among all the KOSHA guidelines, 100 items related to agricultural workplaces were selected. After that, two Delphi questionnaires were conducted and 46 items were finally selected. The average compatibility was calculated as 4.26, and urgency was 2.39. As a result of measuring the content validity of 46 items, six items were identified that were not relevant to agriculture. The final selected items were classified into four categories: Health examination and management, machinery standards, safety and health standard guides, and workplace environment management. Conclusions: The various risk factors at agricultural workplaces should be prevented and managed. It was shown that related technical guidelines or work standard manuals should be prepared. The technical guidelines of KOSHA will be provided as basic categories in the agricultural sector.

Analysis of Applicability by Filter Technique for Water Level Correction of Agricultural Canal (농업용 수로부의 수위 보정을 위한 필터기법별 적용성 분석)

  • Joo, Donghyuk;Na, Ra;Kim, Ha-Young;Choi, Gyu-hoon;Yun, Hyung Chang;Park, Sang-Bin;Yoo, Seung-Hwan
    • Journal of The Korean Society of Agricultural Engineers
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    • v.65 no.5
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    • pp.51-68
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    • 2023
  • Due to the recent integrated water management policy, it is important to identify a reliable supply amount for establishing an agricultural water supply plan. In order to identify the amount of agricultural water supply, it is essential to calculate the discharge by measuring the water level and flow velocity of reservoirs and canal agricultural water, and quality control to ensure reliability must be preceded. Unlike agricultural reservoirs, canal agricultural water are more sensitive to the surrounding environment and reservoir irrigation methods (continuous, intermittent irrigation, etc.), making it difficult to estimate general water level patterns and at the same time a lot of erroneous data. The Korea Rural Community Corporation is applying a filter technique as a quality control method capable of processing large quantities and real-time processing of canal agricultural water level data, and applicability evaluation is needed. In this study, the types of errors generated by the automatic water level measurement system were first determined. In addition, by using the manual quality control data, a technique with high applicability is derived by comparing and analyzing data calibrated with Gaussian, Savitzky-Golay, Hampel, and Median filter techniques, RMSE, and NSE, and the optimal parameters of the technique range was derived. As a result, the applicability of the Median filter was evaluated the highest, and the optimal parameters were derived in the range of 120min to 240min. Through the results of this study, it is judged that it can be used for quantitative evaluation to establish an agricultural water supply plan.

Study on Applicability of Multi-Criteria Decision Making Technique for Malfunctioning Reservoir Selection (기능저하 저수지 선정을 위한 다기준 의사결정기법 적용성 연구)

  • Shim, Hyun Chul;Choi, Kyung Sook
    • Journal of The Korean Society of Agricultural Engineers
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    • v.59 no.3
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    • pp.11-19
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    • 2017
  • The decision-making process is the act of finding the best solution among various alternatives through comparison between various criteria based on objectives of the project, evaluation standard, and conditions. However, in practice it is not easy to simply decide the optimum decision, especially for selecting malfunctioning reservoirs because no systematic evaluation criteria or standard assessment process are available. Therefore, this study adopted AHP method, which is a MCDM (multi-criteria decision making technique) to identify the malfunctioning reservoirs for efficient management of reservoirs. Important criteria of the selection of malfunctioning reservoirs and priority weights of each criteria were determined based on results of expert's survey under a stepwise hierarchical approach. The most important factor for the decision of malfunctioning reservoirs was obtained as Reservoir efficiency among the selected criteria including Reservoir efficiency decrease, Disaster Risk, Reservoir efficiency, Available water storage, Future water demand, Resident Needs. The AHP technique was applied on 11 reservoirs in Andong region to verify its applicability. Scoring method was applied for the comparison with the results of AHP method.

Development of the Priority Decision System for Redevelopment of Agricultural Reservoir (농업용저수지 재개발 우선순위 산정시스템 개발)

  • Kim, Hae-Do;Kim, Sun-Joo;Kim, Phil-Shik
    • Journal of The Korean Society of Agricultural Engineers
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    • v.53 no.2
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    • pp.45-52
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    • 2011
  • This study is to develop a Priority Decision System for Redevelopment (PDSR) which is able to decide the priority for redevelopment of agricultural reservoirs. The major scopes of this research are to make the related GIS data like hydrologic unit map and other thematic maps to determine the suggested priority index (PI), and to develop the PDSR handling the GIS data and calculating weighing factors for the PI. In order to make the weighing factor decision module, the AHP technique was adopted. The result of the weighing factor calculation was showed PC (Possibility Criteria) and RC (Restriction Criteria) were 76% and 24% respectively. Which means that most of the specialist selected PC category prior to RC because of whom to mostly of major technique. So, in order to make more objective result, the selection of specialists is important like environmental activists or local residents and so on. The product from this research can provide more scientific support to decide the priority decision.

Estimation of High-Resolution Soil Moisture Using Sentinel-1A/B SAR and Soil Moisture Data Assimilation Scheme (Sentinel-1A/B SAR와 토양수분자료동화기법을 이용한 고해상도 토양수분 산정)

  • Kim, Sangwoo;Lee, Taehwa;Chun, Beomseok;Jung, Younghun;Jang, Won Seok;Sur, Chanyang;Shin, Yongchul
    • Journal of The Korean Society of Agricultural Engineers
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    • v.62 no.6
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    • pp.11-20
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    • 2020
  • We estimated the spatio-temporally distributed soil moisture using Sentinel-1A/B SAR (Synthetic Aperture Radar) sensor images and soil moisture data assimilation technique in South Korea. Soil moisture data assimilation technique can extract the hydraulic parameters of soils using observed soil moisture and GA (Genetic Algorithm). The SWAP (Soil Water Atmosphere Plant) model associated with a soil moisture assimilation technique simulates the soil moisture using the soil hydraulic parameters and meteorological data as input data. The soil moisture based on Sentinel-1A/B was validated and evaluated using the pearson correlation and RMSE (Root Mean Square Error) analysis between estimated soil moisture and TDR soil moisture. The soil moisture data assimilation technique derived the soil hydraulic parameters using Sentinel-1A/B based soil moisture images, ASOS (Automated Synoptic Observing System) weather data and TRMM (Tropical Rainfall Measuring Mission)/GPM (Global Precipitation Measurement) rainfall data. The derived soil hydrological parameters as the input data to SWAP were used to simulate the daily soil moisture values at the spatial domain from 2001 to 2018 using the TRMM/GPM satellite rainfall data. Overall, the simulated soil moisture estimates matched well with the TDR measurements and Sentinel-1A/B based soil moisture under various land surface conditions (bare soil, crop, forest, and urban).

Reproductive technologies needed for the generation of precise gene-edited pigs in the pathways from laboratory to farm

  • Ching-Fu Tu;Shu-Hui Peng;Chin-kai Chuang;Chi-Hong Wong;Tien-Shuh Yang
    • Animal Bioscience
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    • v.36 no.2_spc
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    • pp.339-349
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    • 2023
  • Gene editing (GE) offers a new breeding technique (NBT) of sustainable value to animal agriculture. There are 3 GE working sites covering 5 feasible pathways to generate GE pigs along with the crucial intervals of GE/genotyping, microinjection/electroporation, induced pluripotent stem cells, somatic cell nuclear transfer, cryopreservation, and nonsurgical embryo transfer. The extension of NBT in the new era of pig breeding depends on the synergistic effect of GE and reproductive biotechnologies; the outcome relies not only on scientific due diligence and operational excellence but also on the feasibility of application on farms to improve sustainability.

The Impact of Indigenous People's Pre-existing Information on Rice Farming: Findings from Laos

  • Bheomseok Kim;Taeyoon Kim
    • East Asian Economic Review
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    • v.27 no.1
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    • pp.3-31
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    • 2023
  • Dissemination of information can enhance smallholder farmers' agricultural outcomes and incomes in developing countries. However, the impact evaluation for new information can be inaccurate without considering pre-existing information that the indigenous people have used. This study explores qualitative causal links between existing agricultural information used by Lao smallholder farmers on rice yield and selling price with 180 household data. We categorized the pre-existing information into weather, farming technique, input, intermediate trader, and sales price. The source of each piece of information is used as an instrumental variable to overcome the endogeneity issue between information use and agricultural outcomes. Using farming technique information positively affects rice yields by 57.1% compared to those without that information. Moreover, intermediate trader and crop sales information result in 64.5% and 60.0% higher selling prices than non-user groups. A statistically significant causal relationship exists with agricultural outcomes. The more genuine impact should be measured with a newly updated impact evaluation approach that considers this pre-existing agricultural information.