• Title/Summary/Keyword: Farm Manager Registration Information

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Spatio-temporal Change Analysis of Ammonia Emission Estimation for Fertilizer Application Cropland using High-resolution Farmland Data (고해상도 농경지 데이터를 이용한 비료사용 농경지의 암모니아 배출량의 시공간적 변화 분석)

  • Park, Jinseon;Lee, Se-Yeon;Hong, Se-Woon;Na, Ra;Oh, Yungyeong
    • Journal of Korean Society of Rural Planning
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    • v.27 no.4
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    • pp.33-41
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    • 2021
  • Ammonia emission from the agricultural sector contributes almost 78% of total ammonia emission in Korea. The current ammonia emission estimation method from fertilizer application has high uncertainty and needs to be improved. In this study, we propose an improvement method for estimating the amount of ammonia emission from agricultural land with improved spatiotemporal resolution using Farm Manager Registration Information System and criteria for the fertilizer. We calculated ammonia emissions by utilizing the 2020 cultivation area provided by Farm Manager Registration Information System for 55 kinds of upland crops cultivated in the field area of the farmland. As a result, soybeans were the most cultivated field crop in 2020, and the area of cultivated land was surveyed at about 77,021 ha, followed by sweet potatoes 22,057 ha, garlic 20004 ha, potatoes 17,512 ha, and corn 16,636 ha. The month with the highest ammonia emissions throughout the year was calculated by emitting 590.01 ton yr-1 in May, followed by 486.55 ton yr-1 in March. Hallim-eup in Jeju showed the highest ammonia emission at 117.50 ton yr-1.

A Study on the Upland Use Plans Using Farm Manager Registration Information and Spatial Data (농업경영체 등록정보와 공간데이터를 활용한 밭 이용 방안 연구: 전라남도 무안군·해남군을 중심으로)

  • Oh, Yun-Gyeong;Yoo, Seung-Hwan;Choi, Soo-Myung;Lee, Jimin
    • Journal of The Korean Society of Agricultural Engineers
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    • v.60 no.4
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    • pp.27-35
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    • 2018
  • Food consumption pattern changes, including a decrease in rice consumption and increasing demand for fresh vegetables, along with declining food self-sufficiency rate, more importance is being placed on agricultural industry within Korea. Taking these changes into consideration, there is an increasing necessity for managing upland fields on agricultural sector to revitalize agricultural land use. Therefore, in this study, upland use type was classified into agricultural economic, environmental conservation, and rural social frames. The purpose of this study was to suggest upland use plan with farm manager registration information and spatial data. As results of this analysis, the mean area of agricultural economic frame in Haenam (16.47 ha) was found to be wider than Muan (3.17 ha), and scale improvement zones (54 zones) were located in only Haenam. In case of environmental conservation frame, there's no zone of scenic agriculture land in both study areas, but landuse transition zones were located in Muan (278 zones) and Haenam (604 zones). Agro-healing zones of rural social frame were 1,018 zones in Muan and 1,588 zones in Haenam and kitchen garden sites were 342 zones in Muan and 370 zones in Haenam. These results could be used when we establish the plan of an agricultural infrastructure project or select places for a collaborative agricultural land use project.

Selection and Application of Multipurpose Farmland Sites Using the Farm Manager Registration Records and Spatial Data (농업경영체 등록정보와 공간정보를 활용한 농지범용화 사업 대상지 선정 방안 개발 및 적용)

  • Na, Ra;Joo, Donghyuk;Kim, Hayoung;Yoo, Seung-Hwan;Kwak, Yeong-cheol;Kim, Jeonghoon;Yi, Hyangmi;Cho, Eun Jung
    • Journal of Korean Society of Rural Planning
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    • v.28 no.1
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    • pp.17-26
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    • 2022
  • It is necessary to prepare a stable production base in advance for a change in the global grain market, and it is required to prepare comprehensive countermeasures such as securing technical skills and cultivation technology. Therefore, Korea, which relies on imports of major grains other than rice, could be exposed to a food crisis at any time unless the self-sufficiency rate of grains is improved. In order to respond to this new food crisis, it is necessary to find ways to efficiently utilize rice fields to increase the domestic grain self-sufficiency rate. From this point of view, interest and demand for the generalization of farmland that can be used as paddy fields and returned to paddy fields are increasing, and related research is also being continuously performed. In order to select a multipurpose farmland project site, this study extracted farmland containing 10% or more purchased and stockpiled farmland through spatial analysis (buffer, dissolve, intersect, etc.), and finally presented areas subject to multipurpose farmland projects. The target site for the multipurpose farmland project was finally selected by integrating data onto a point-by-point basis so that the current status of farmland purchased and stockpiled, Farm Manager Registration Records, and the Korean Soil Information System data (drainage classes, surface soil texture, field-suitability classification, etc.) can be used in combination. There are 175 areas where the multipurpose farmland is possible. Incheon 2, Gyeongbuk 40, Gangwon 2, Chungbuk 7, Chungnam 48, Jeonbuk 34, Jeonnam 19, Gyeongbuk 15, Gyeongnam 8. Chungcheongnam-do has the most target site for the multipurpose farmland project, and Gangwon-do is the least. It is expected to contribute to new commercialization and business expansion by deriving business areas by identifying the scale of the farmland multipurpose farmland project using Farm Manger Registration Records and spatial data.

Spatial Fragmentation Analysis of Upland Fields Using Farm Manager Registration Information (농업경영체 등록정보를 활용한 밭 경작지의 공간적 파편화 특성 분석)

  • Lee, Jimin;Yoo, Seung-Hwan;Oh, Yun-Gyeong
    • Journal of The Korean Society of Agricultural Engineers
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    • v.60 no.2
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    • pp.13-24
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    • 2018
  • As food consumption pattern changes (reduced rice consumption and increased consumption of fresh vegetables), managing upland fields became a greater priority. However, the agricultural infrastructure projects have been focused on rice farming, and the infrastructure level to support dry fields cultivation is insufficient. The purpose of this study was to spatial distribution analysis of these dry fields with farm manager registration information. Using FRAGSTATS, we analyzed landscape indices (TA/CA, NP, PD, LSI, LPI, PLADJ, COHESION, CONNECT, AI) of farmlands in which farmers in 13 regions (Si or Gun) cultivated dry-field crops. As results of this analysis, the total area of the fields in Naju-si, Hampyeong-gun and Suncheon-si were found to be wider, but the average area of a patch in Youngam-gun, Hampyeong-gun and Jangseong-gun were wider than other regions. On average, each farmer had farmlands containing of 1.7~2.4 patches and cultivated crops in fields of 0.2~0.5 ha. Farmlands of Hampyeong-gun, Youngam-gun, Naju-si showed high values in adjacency indices, however the farmlands of Suncheon and Gwangyang showed fragmented distribution with low values in adjacency indices. These results of fragmentation analysis of farmlands could be used when we establish the plan of an agricultural infrastructure project or select places for a collaborative agricultural management business promotion project.

A Evaluation of Direct Payment on Agricultural Income effect using Farm Manager Registration Information (농업경영체 등록정보를 활용한 농업직불제 소득효과 분석)

  • Han, Suk-Ho;Chae, Gwang-Seok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.5
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    • pp.195-202
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    • 2016
  • The government has run and managed various forms of direct payment systems, such as the paddy and field direct payment, to ease the instability of farm incomes with respect to market opening, and preserve farm income. Direct payments to the agricultural sector is a center in the key policy instrument that plays an important role in income stabilization. Despite the large amount of spending in the farm unit, the status of direct payment, and policy effects the analysis of direct payments, such as stability of income contribution, are insufficient. This paper, using the farm unit DB in 2014 and 2015, performed farm level analysis of direct payment, and derived the implications of the performance evaluation system. As a result, the distribution of direct payment showed considerable bias to the left side compared to the normal distribution curve. Approximately half of the farms (49.3%) in 2014 DB should receive below 100,000 won per year by a direct payment. A larger-scale farm showed a significantly increased income effect and income stabilizing effect because direct payments make higher contributions to farm income in proportional to the area. In the more elderly farmers, a high contribution by direct payment to farm income was found to be an advantage; however, in small-scale farms of less than 0.5ha, direct payment contribution on farm household income was only 3%. In large-scale farms, 10ha or more, the contribution to farm income were found to be 29.4%. The income of large farms was 10 times larger than small farmers, and the direct payment entitlements that were received were 110 times larger. Through this policy, direct payments are required for future improvements and modifications.