• Title/Summary/Keyword: optimal farming system

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Developing a decision support system for selecting new crops

  • Jung, Guhyun;Jeon, Myounghee;Lee, Jinhong;Park, Heundong;Lee, Seyong;Kim, Joonyong
    • Agribusiness and Information Management
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    • v.10 no.2
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    • pp.8-17
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    • 2018
  • Due to changes in the agricultural market environment and both overseas and domestic farming conditions, uncertainties in agricultural production and management are becoming greater. Hence, there is a stronger need for farmers to choose crops in the optimal condition. This research aims to introduce the result and process of developing a decision support system for selecting crops, aimed to assist farmers in selecting the optimal crops most suitable in the given situation. There are basically three main factors to consider in the decision-making process for farmers when selecting a crop to introduce to their lands. First of all, one must consider how much profit crop A will produce when it is cultivated. Secondly, one must consider which crop to cultivate in order to earn a certain amount of profit. Thirdly, one must consider what is the best way to maximize Farm A's business profit. For instance, a farm may have land as its resource, and one must research which location, type of crop, level of technology, and so forth, to maximize profit.This research creates a database of the profitability of a total of 180 crop types by analyzing Rural Development Administration's survey of agricultural products income of 115 crop types, small land profitability index survey of 53 crop types, and Statistics Korea's survey of production costs of 12 crop types. Furthermore, this research presents the result and developmental process of a web-based crop introduction decision support system that provides overseas cases of new crop introduction support programs, as well as databases of outstanding business success cases of each crop type researched by agricultural institutions.

Analysis of Changes in Residents' Perception to Establish Resident-driven Management System for Rural Nonpoint Pollution Sources - Rural field forum process - (농촌 비점오염의 주민주도 관리체계 마련을 위한 주민 의식 변화 분석 - 농촌현장포럼 프로세스를 중심으로 -)

  • Na, Kyung Soo;Kim, Jong gun;Lim, Kyoung Jae;Kim, Ki Sung
    • Journal of Korean Society of Rural Planning
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    • v.25 no.4
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    • pp.47-56
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    • 2019
  • More than half of the nonpoint sources of polluting water occur in cultivating farmlands in rural areas. Agricultural nonpoint sources are discharged from large areas of farmlands, making it difficult to collect or treat pollutants. Farmland source management is known to be the most effective, and preventive management by improving farming methods is the key to reduce nonpoint pollution. At present, more than 30% of the pollutants flowing into the rivers and lakes are nonpoint pollutants caused by agricultural activities. As a countermeasure, it is more preferable to develop and apply optimal farming management techniques for agricultural nonpoint pollution management basically than to apply existing water quality management techniques. Because of the characteristics of nonpoint source pollution, it is necessary to manage farmlands in rural areas, so the willingness and competence of the residents is most important. The purpose of this study is to analyze and understand the process of changing the cognition of residents through capacity education and survey for nonpoint pollution management in rural areas. This study conducted intensive resident competency education and examined the process of changing resident awareness through three surveys. As a result of this study, it was found that continuous education and activities for rural non-point pollution management are necessary for raising awareness of residents and managing non-point pollution effectively, showing possibility of change residents' perception.

Mass Balance of Finfish Cage Farm in South Korea (어류가두리 양식장의 물질수지 산정)

  • Bo-Ram Sim;Hyung Chul Kim;Sang-Pil Yoon;SokJin Hong;Woosung Jung;Sungchan Kang
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.56 no.4
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    • pp.473-483
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    • 2023
  • This study was conducted to better understand the impact of marine fish farming by estimating mass balances of carbon and nitrogen. According to the results, 94.55% of carbon and 95.66% of nitrogen inputs were from the feed supplied in the farm. Of the total carbon emissions in the farm, 47.28% was due to fish respiration, which was subsequently released into seawater. Advection and diffusion in the farm contributed to 30.29% of the carbon released. In the case of nitrogen, 50.70% of the nitrogen released into the seawater was produced by fish excreta, and 31.37% was advected and diffused into the system. The sedimentary environment received 3.82% and 3.10% of the carbon and nitrogen released from the farm, respectively. The fish feed used for healthy growth contained 11.64% carbon and 9.17% nitrogen. Since the feed type was floating pellets, the load released into the sedimentary environment was relatively lower than that released into the marine environment. These findings suggest that the identification of an optimal fish feed that respects fish physiology and preserves a healthy ecology is critical for the future of aquaculture. Furthermore, ecosystem-based aquaculture systems that decrease environmental burden, while endeavoring to improve environmental health, are required.

A Study on Selection Method of Management Watershed for Total Pollution Load Control at Tributary (지류총량관리를 위한 관리유역 선정 방법에 관한 연구)

  • Hwang, Ha Sun;Lee, Sung Jun;Ryu, Jichul;Park, Ji Hyung;Kim, Yong Seok;Ahn, Ki Hong
    • Journal of Korean Society on Water Environment
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    • v.32 no.6
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    • pp.528-536
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    • 2016
  • The purpose of Total Pollution Load Control at Tributary is to obtain maximum improvement effect of water quality through finding the most impaired section of water-body and establishing the proper control measure of pollutant load. This study was implemented to determine the optimal management of reach, period, condition, watershed, and pollution source and propose appropriate reduction practices using the Load duration curve (LDC) and field monitoring data. With the data of measurement, LDC analysis shows that the most impaired condition is reach V (G4~G5), E group (flow exceedance percentile 90~100%) and winter season. For this reason, winter season and low flow condition should be preferentially considered to restore water quality. The result of pollution analysis for the priority reach and period shows that agricultural nonpoint source loads from onion and garlic culture are most polluting. Therefore, it is concluded that agricultural reuse of surface effluent (storm-water runoff with non-point sources) and low impact farming that includes reducing fertilization and controlling the height of drainage outlet are efficient water quality management for this study watershed.

A Study on the Phosphorus Resources Recovery using the MAP + PACI (Ca과 응집제를 보완한 MAP법을 이용한 폐수로부터의 인 자원 회수에 관한 연구)

  • Kim, Dong-Ha
    • Journal of Korean Society of Water and Wastewater
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    • v.21 no.3
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    • pp.273-278
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    • 2007
  • Modern society has moved from a phosphorus recycling loop, where animal manure and human wastes were spread on farming land to recycle nutrients, to a once-through system, where phosphates are extracted from mined, non-renewable phosphate rock and end up either in landfill(sewage sludge, incinerator ash) or in surface waters. In this research, crystallization of nitrogen and phosphate with natural sources of $Mg^{2+}$ in synthetic water was tested. The operational parameters of pH, mixing time, and the magnesium molar ratio were investigated to find optimal conditions of the MAP precipitation using synthetic wastewater. The removal efficiency of phosphate increased with pH up to 11. By MAP precipitaiton of the synthetic waste water, 94% of the phosphate were eliminated at pH 11. It was found that at least 10 minutes mixing time was required and 20 minutes mixing time was recommended for efficient phosphate removal. High efficiency removal of phosphate was possible when the magnesium molar ratio was 1.0~2.0. The comparative study of different magnesium sources showed that coagulants (PAC) was the more efficient sources than only magnesium. The result showed that 97% of phosphate removal. In conclusion, coagulants (PAC) induced crystallization of struvite and hydroxyapatite was shown to be a technically viable process that could prove cost effective for removing phosphate in wastewater.

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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Design and Implementation of Self-installing Agricultural Automation System for Remote Monitoring and Control Based on LPWA Technology (저전력 장거리 무선통신기술(LPWA) 기반 원격감시 및 제어가 가능한 자가설치형 농업 자동화 시스템 설계 및 구현)

  • Baek, JaeGu;Lee, Hyung-Woo
    • Journal of Internet of Things and Convergence
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    • v.3 no.1
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    • pp.13-19
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    • 2017
  • In this paper, we designed and implemented Thing Connected-Green, a self-installing agricultural automation system capable of remote monitoring and control based on Low Power Wide Area communication technology (LPWA). Farming requires water, sunlight, soil, fertilizer, temperature control, etc., and these elements can be remotely monitored and controlled using an automated system. Using this system, it is possible to construct an agricultural automation system which can be optimized according to the kind of plant and cultivation environment from vinyl house to flower garden. The information gathered from the sensor is stored in the server through the gateway, and the optimal cultivation environment can be set and operated using the smart phone based on the big data.

Optimization of Heat Exchange Network of SOFC Cogeneration System Based on Agricultural By-products (농산부산물 기반 SOFC 열병합발전 시스템 열교환망 최적화)

  • Gi Hoon Hong;Sunghyun Uhm;Hyungjune Jung;Sungwon Hwang
    • Journal of the Korean Institute of Gas
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    • v.28 no.1
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    • pp.1-10
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    • 2024
  • In this study, we constructed a process simulation model for an agricultural by-products based Solid Oxide Fuel Cell (SOFC) combined heat and power generation system as part of the introduction of technology for energy self-sufficiency in the agricultural sector. The aim was to reduce the burden of increasing fuel and electricity consumption due to rapid fluctuations in international oil prices and the expansion of smart farming in domestic farms, while contributing to the national greenhouse gas reduction goals. Based on the experimental results of 0.3 ton/day torrefied agricultural by-product gasification experiment, a model for an agricultural by-product-based SOFC cogeneration system was constructed, and optimization of the heat exchange network was conducted for SOFC capacities ranging from 4 to 20 kW. The results indicated that an 8 kW agricultural by-product-based SOFC cogeneration system was optimal under the current system conditions. It is anticipated that these research findings can serve as foundational data for future commercial facility design.

Development of Database Management System for Agriculture Facilities Using Geographic Information System (GIS를 이용한 농업시설물 데이터베이스관리시스템 개발)

  • An, Won-Tae;Choi, Seok-Keun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.4
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    • pp.570-579
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    • 2021
  • The environments in current farming and fishing communities have been exacerbated by the shortage of personnel caused by aging, the deficiency of equipment, and the decrease in produce prices. To help solve these issues, this study examined the history, such as inspections, failures, and repairs, by constructing a database for underground water wells, pumping stations, and irrigation, which are critical for management among agriculture production infrastructures. In particular, in the case of underground water wells, their optimal locations were determined using spatial information, such as a geological map of water resources, a water vein map, and underwater depth, because indiscreet installations and an absence of spatial information resulted in economic losses and environmental pollution. Therefore, this study could efficiently manage many facilities scattered in rural areas by developing a system. An analysis of the status of 14 underground water wells using spatial information showed that the location information at six points was specified incorrectly. On the other hand, a site investigation showed that the water vein map analysis at one point was inaccurate.

Analysis of the axle load of an agricultural tractor during plow tillage and harrowing

  • Hong, Soon-Jung;Park, Seung-Je;Kim, Wan-Soo;Kim, Yong-Joo;Park, Seong-un
    • Korean Journal of Agricultural Science
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    • v.43 no.4
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    • pp.665-669
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    • 2016
  • Analysis of the load on the tractor during field operations is critical for the optimal design of the tractor. The purpose of this study was to do a load analysis of an agricultural tractor during plowing and harrowing. First, a load measurement system was developed and installed in a 71 kW agricultural tractor. Strain-gauges with a telemetry system were installed in the shaft located between the axles and the wheels, and used to measure the torque of the four driving axles. Second, field experiments were conducted for two types of field operations (plowing, harrowing), each at two gear levels (M2, M3). Third, load analysis was conducted according to field operation and gear level. At M2 gear selection for plowing, the maximum, minimum, and average (S. D.) torque values were 13,141 Nm; 4,381 Nm; and 6,971 Nm (${\pm}397.8Nm$, respectively). For harrowing, at M2 gear selection, torque values were, 14,504 Nm; 1,963 Nm; and 6,774 Nm (${\pm}459.4Nm$, respectively). At M3 gear selection for plowing, the maximum, minimum, and average (S. D.) torque values were,17,098 Nm; 6,275 Nm; and 8,509 Nm (${\pm}462.4Nm$, respectively). For harrowing at M3 gear selection, maximum, minimum, and average (S. D.) torque values were, 20,266 Nm; 2,745 Nm; and 9,968 Nm (${\pm}493.2$). The working speed of the tractor increased by approximately 143% when shifted from M2 (7.2 km/h) to M3 (10.3 km/h); while during plow tillage and harrowing, the load of the tractor increased approximately 1.2 times and 1.5 times, respectively.