• Journal of The Korean Society of Agricultural Engineers
• /
• v.65 no.2
• /
• pp.13-20
• /
• 2023

In the past, the Ministry of Agriculture, Food, and Rural Affairs (MAFRA) conducted research into and production of agricultural statistics. As a result of organizational changes, these responsibilities were transferred to Statistics Korea in 1998 and 2008. So, the MAFRA managed data without a formal system for managing data and statistical information. The demand for a foundation to improve the usefulness of agri-food statistics has recently increased due to the necessity for basic data representing the realities of rural and agricultural areas. This is especially true for field-oriented agricultural administration. This study aims to propose a strategy for the systematically integrated administration of dispersed data and statistical information. It served as the foundation for the integrated management of distributed administrative and statistical data.

• Journal of Digital Contents Society
• /
• v.18 no.1
• /
• pp.149-158
• /
• 2017

Big data have been presenting us with exciting opportunities and challenges in economic development. For instance, in the agriculture sector, mixing up of various agricultural data (e.g., weather data, soil data, etc.), and subsequently analyzing these data deliver valuable and helpful information to farmers and agribusinesses. However, massive data in agriculture are generated in every minute through multiple kinds of devices and services such as sensors and agricultural web markets. It leads to the challenges of big data problem including data collection, data storage, and data analysis. Although some systems have been proposed to address this problem, they are still restricted either in the type of data, the type of storage, or the size of data they can handle. In this paper, we propose a novel design of a platform for collecting and analyzing agricultural big data. The proposed platform supports (1) multiple methods of collecting data from various data sources using Flume and MapReduce; (2) multiple choices of data storage including HDFS, HBase, and Hive; and (3) big data analysis modules with Spark and Hadoop.

• Proceedings of the Korean Society of Plant Pathology Conference
• /
• 2003.10a
• /
• pp.108.2-109
• /
• 2003

The Gyeonggi-do Agricultural Research and Extension Services has developed a web-site (www.epilove.com) in collaboration with EPINET to provide information on agricultural weather and rice disease and insect pest management in Gyeonggi-do. Weather information includes near real-time weather data monitored by automated weather stations (AWS) installed at rice paddy fields of 11 Agricultural Technology Centers (ATC) in Gyeonggi-do, and weekly weather forecast by Korea Meteorological Administration (KMA). Map images of hourly air temperature and rainfall are also generated at 309m x 309m resolution using hourly data obtained from AWS installed at 191 locations by KMA. Based on near real-time weather data from 11 ATC, hourly infection risks of rice blast, sheath blight, and bacterial grain rot for individual districts are estimated by disease forecasting models, BLAST, SHBLIGHT, and GRAINROT. Users can diagnose various diseases and insects of rice and find their information in detail by browsing thumbnail images of them. A database on agrochemicals is linked to the system for disease and insect diagnosis to help users search for appropriate agrochemicals to control diseases and insect pests.

• Proceedings of the Korean Society of Crop Science Conference
• /
• 2022.10a
• /
• pp.241-241
• /
• 2022

In the digital age, a lot of agricultural R&D is based on data. However, genetic resources are still essential for basic research and agricultural development. Accordingly, many countries are making great efforts to secure various genetic resources. In Korea, the National Agrobiodiversity Center (NAC) has more than 270,000 plant genetic resources so far as part of its efforts. In order to efficiently use the resources for agricultural R&D, it is essential to determine the genotypes of the resources. For this, it is essential to build a system for mass genotyping. For this, sorghum were selected as a model crop considering the genome size, the high-quality reference genome, and the number of resources. To efficiently determine the genotype data from many genetic resources, we developed a GATK pipeline that works efficiently on HPC. The pipeline efficiently and rapidly determined 769 genotypes of 410 genetic resources. Going forward, our team will continue to work to determine genotypes of over a thousand sorghum resources, and the data will be released at the National Agricultural Biotechnology Information Center (NABIC) in order to be used in agricultural R&D.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.10 no.1
• /
• pp.22-34
• /
• 2007

The purpose of this study is to assess agricultural drought using modified SWSI(Surface Water Supply Index) in Ango and Anseo agricultural district. Precipitation, reservoir inflow and storage data were used for input data of modified SWSI. Precipitation data was obtained from KMA(Korea Meteorological Administration) and reservoir storage data was obtained from KARICO(Korea Agricultural & Rural Infrastructure Corporation) and reservoir inflow data was simulated by SLURP(Simple LUmped Reservoir Parametric). SWSI based agricultural drought index was evaluated for the period of 1983 and 2001. As results, for the drought periods(July-1994, June-1995, May-2001) agricultural drought indices represented extremely drought states. The result was compared with PDSI and SWSI and checked the applicability of the suggested index in our agricultural drought situation.

• Korean Journal of Agricultural Science
• /
• v.47 no.4
• /
• pp.1123-1134
• /
• 2020

The goal of this study was to develop an accelerated life test for an implement working pump for an agricultural tractor. The field experiments were conducted to measure the load of an implement working pump during major agricultural operations such as plow tillage, rotary tillage, baler operations, and wrapping operations. The measurement system for an implement working pump load was constructed using a pressure sensor, the engine rotational speed, and the hitch pump displacement. The measured implement working pump load was calculated as an equivalent load for each agricultural operation using the Palmgren-Miner rule, which is a cumulative damage method. The equivalent load was calculated using the total load data and peak load data when the total data included the operation of an implement working. The annual usage time of the agricultural tractor was applied to develop two integrated equivalent loads. The acceleration factor was calculated to develop an accelerated life test and was calculated from the two integrated equivalent loads, the maximum pressure, and the flow rate conditions of the hitch pump. In Korea, the warranty life of a tractor is 2,736 hours, and the time required for the test to guarantee the operational life of tractors was calculated as 7,561 hours. The acceleration factors were calculated as 453.6 and 38.3, respectively, from the total load data and peak load data. The fatigue test time can be shortened by 16.7 and 197.4 hours according to the result of the acceleration factors.

• Korean Journal of Agricultural Science
• /
• v.51 no.1
• /
• pp.79-86
• /
• 2024

As the frequency and intensity of heavy rains increase, the vulnerability of agriculture to disasters also increases. Consequently, there is a need to improve flood and inundation predictions. To enhance the accuracy of inundation predictions, it is essential to monitor water level and discharge data within agricultural areas. This study was conducted to monitor water levels and rainfall in the Cheongju Sindae area from 2022 to 2023, and the data was utilized as input and validation data for agricultural inundation modeling. Four irrigation drainage canals were installed to a square-shaped concrete structure where the water level gauge is. It was then confirmed that the water level rises with rainfall. The flow velocities were monitored during periods of heavy rainfall. The rating curve, which estimates water level and flow velocity based on observations, was estimated using the software K-HQ. The resulting curve was presented with the Coefficient of Determination (R²). K-HQ was also used to calculate the equation for the rating curve, taking outliers into account at each data point. Outliers were extracted and the rating curve was recalculated. As the coefficient of determination of three out of four stations exceeded 0.95, the estimated rating curve may be considered reliable for discharge estimation. This study provides critical data for enhancing agricultural inundation modeling accuracy and drainage improvement projects.

• Journal of Biosystems Engineering
• /
• v.13 no.4
• /
• pp.20-29
• /
• 1988

Properties of agricultural products are important for engineering design and analysis with respect to their mechanical harvesting, handling, transporting and processing. Researcher have presented the data of properties for various kinds of agricultural products. These data, however, are obtained from the materials produced in foreign countries, and a very few data could be found in Korea. In this paper, emphasis put on the importance of measuring the properties of agricultural products through an extensive review of literatures, and some experimental results on the viscoelastic and elastic properties of the materials are presented. Viscoelastic characteristics of some agricultural materials, specifically the force-deformation-time relationship of the whole orange and cylindrical samples of cheese under different types of loading were investigated. In elastic test, the response of apple during an impact and the relationships among various parameters such u degree of damage, drop height and absorbed energy were determined.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.6 no.2
• /
• pp.94-106
• /
• 2004

Determining those gaps in agricultural and other information to improve agrometeorological analyses for agriculture is a large task. The effective integration of appropriate data systems, including remote sensing systems, with agricultural systems modelling capability is described as a worthy outcome in this endeavour. Data issues, including those associated with data length, quality, maintenance, and archiving remain serious issues to be addressed. The role of remote sensing and geographic information systems in agrometeorology is important and is explored here. The value of simulation models to provide the synthesis for future agrometeorological requirements is further elucidated.

• Proceedings of the Korean Society for Agricultural Machinery Conference
• /
• 1996.06c
• /
• pp.1073-1080
• /
• 1996

The impact of the input and output probability distributions on the performance of neural networks to forecast two year peak stream flow (cubic meters per second) is examined for two major river basins of the US. The neural network input consisted of drainage area(square kilometers ) and elevation (meters). When data are normally distributed , the neural networks predict much better than when the data are non-normal and have larger tails in their distributions.