• Title/Summary/Keyword: Agricultural information technology

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PCR-DGGE Analysis of the Microbial Communities in Three Different Chinese "Baiyunbian" Liquor Fermentation Starters

  • Xiong, Xiaomao;Hu, Yuanliang;Yan, Nanfeng;Huang, Yingna;Peng, Nan;Liang, Yunxiang;Zhao, Shumiao
    • Journal of Microbiology and Biotechnology
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    • v.24 no.8
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    • pp.1088-1095
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    • 2014
  • A systematic investigation was performed on the bacterial, Bacillus, fungal, and yeast communities of the three types of Daqu (mechanically prepared, manually prepared, and mixed prepared) used in Baiyunbian Company by reconditioning PCR-denaturing gradient gel electrophoresis (PCR-DGGE). The DGGE results showed that the microbes in the three types of Daqu were mainly thermotolerant and thermophilic microbes, and the most dominant bacterial species were Bacillus and Virgibacillus, followed by Lactobacillus and Trichococcus. Furthermore, the dominant fungi were found to be molds, such as Rasamsonia, Penicillium, Aspergillus, and Monascus, and the dominant yeasts were Saccharomyces cerevisiae, Saccharomycopsis fibuligera, Pichia anomala, and Debaryomyces hansenii. In general, the three types of Daqu showed slight differences in microbial communities, and the Shannon indexes (H') of the manually prepared and mechanically prepared Daqu were similar. The results suggest that mechanically prepared Daqu can replace manually prepared Daqu in liquor production, and this research provides useful information for liquor production and process improvement.

Microsatellite Analysis of the Silkworm Strains (Bombyx mori) Originated from China

  • Kim, Kee-Young;Kang, Pil-Don;Ryu, Kang-Sun;Kim, Ki-Hwan;Sung, Gyoo-Byung;Ji, Sang-Deok;Kim, Mi-Ja;Kim, Ik-Soo
    • International Journal of Industrial Entomology and Biomaterials
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    • v.25 no.1
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    • pp.81-92
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    • 2012
  • A total of 85 Chinese-origin silkworm strains preserved in Korea were genotyped for eight polymorphic micro-satellite loci. We obtained per-locus number of alleles, ranging from 5 to 14 with an average value of 9.5, perlocus observed heterozygosity, ranging from 0.07 to 0.99, and per-locus polymorphic information content (PIC), ranging from 0.34 to 0.82, indicating that some loci are highly variable. Phylogenetic analysis with the eight concatenated microsatellite loci showed no clustering on the basis of known strain characteristics. A total of 22 strain-specific apomorphic alleles, which discriminate 19 among 85 silkworm strains were obtained from eight loci. These strain-specific alleles, thus, can casually be utilized for the discrimination of applicable strains without any further typing of other loci. Furthermore, a substantial number of homozygote strains, represented by 27 among 76 alleles in eight loci were found. These results collectively suggest that the silkworm microsatellite DNA is actually and potentially important molecular markers for the eventual discrimination of silkworm strains that are preserved as hundreds in Korea.

Genetic Variation and Genetic Relationship of Seventeen Chinese Indigenous Pig Breeds Using Ten Serum Protein Loci

  • Mo, D.L.;Liu, B.;Wang, Z.G.;Zhao, S.H.;Yu, M.;Fan, B.;Li, M.H.;Yang, S.L.;Zhang, G.X.;Xiong, T.A.;Li, K.
    • Asian-Australasian Journal of Animal Sciences
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    • v.16 no.7
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    • pp.939-945
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    • 2003
  • Seventeen Chinese indigenous pig breeds and three introduced pig breeds had been carried out by means of vertical polyacrylamide gel electrophoresis (PAGE). According to the results, eight serum protein loci were highly polymorphic except Pi-2 and Cp. The polymorphism information content (PIC) of Hpx was the highest (0.5268), while that of Cp was the lowest (0.0257). The population genetic variation index showed that about 84% genetic variation existed in the population, and the rest of 16% distributed between the populations. The genetic variation of Yimeng black pig and Duroc were the highest and the lowest, respectively. The genetic variation of Chinese indigenous pig breeds was much more than that of exotic groups. Genetic distance results showed that Chinese indigenous pig breeds were classified into four groups with the three introduced pig breeds clustered into another group. The results also supported the geographic distribution of Chinese indigenous pig breeds in certain extent.

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.

Development and Implementation of Prototype for Intelligent Integrated Agricultural Water Management Information System and Service including Reservoirs managed by City and County (시군관리 저수지를 고려한 지능형 통합 물관리정보시스템 원형 개발 및 구현)

  • Kim, Dae-Sik;Kang, Seok-Man;Kim, Jin-Taek;Kim, Jeong-Dae;Kim, Hyun-Ho;Jang, Jin-Uk
    • Journal of Korean Society of Rural Planning
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    • v.23 no.3
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    • pp.163-174
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    • 2017
  • This study developed the prototype of the system and implemented its main functions, which is the intelligent integrated agricultural water management information system and service (IaWAMISS). The developed system was designed to be able to collect, process and analyze the agricultural water information of spatially dispersed reservoirs in whole country and spatial geographic information distributed in various systems of other organizations. The system, IaWAMISS, is also possible to provide the reproduced information services in each reservoir and space units, such as agricultural water demand and supply analysis and drought prediction, to the people, experts, and policy makers. This study defined the 6 step modules to develop the system, which are to design the components of intelligent integrated information system, to derive the utilization contents of existing systems, to design the new development elements for IaWAMISS, to design the reservoir information system can be used by managers of city and county, to designate the monitoring reservoirs managed by city and county, and finally to prepare the sharing system between organizations with the existing information systems. In order to implement the prototype of the system, this study shows the results for three important functions of the system: spatial integration of reservoirs' information, data link integration between the existing systems, and intelligent analysis program development to assist decision support for agricultural water management. For the spatial integration with the reservoir water information of the Korea Rural Community Corporation, this study get IaWAMISS to receive the real-time reservoir storage information from the measurement facility installed in the municipal management reservoir. The data link integration connecting databases of the existing systems, was implemented by integrating the meteorological information of the Korea Meteorological Administration with IaWAMISS, so that the rainfall forecast data could be derived and used. For the implementation of the intelligent analysis program, this study also showed the results of analysis and prediction of agricultural water demand and supply amount, estimation of Palmer drought index, analysis of flood risk area in typhoon course region, and analysis of the storage status of reservoirs related to each storm. This study confirmed the possibility and efficiency of an useful system development through the prototype design and implementation of IaWAMISS. By solving the preliminary 6 step modules presented in this study, it is possible not only to efficiently manage water by spatial unit, but also to provide the service of information and to enhance the relevant policy and national understanding to the people.

ELECTRO-MICROSCOPE BASED 3D PLANT CELL IMAGE PROCESSING METHOD

  • Lee, Choong-Ho;Umeda Mikio;Takesi Sugimoto
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2000.11b
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    • pp.227-235
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    • 2000
  • Agricultural products are easily deformable its shape because of some external forces. However, these force behavior is difficult to measure quantitatively. Until now, many researches on the mechanical property was performed with various methods such as material testing, chemical analysis and non-destructive methods. In order to investigate force behavior on the cellular unit of agricultural products, electro-microscope based 3D image processing method will contribute to analysis of plant cells behavior. Before image measurement of plant cells, plant sample was cut off cross-sectioned area in a size of almost 300-400 ${\mu}$ m units using the micron thickness device, and some of preprocessing procedure was performed with fixing and dyeing. However, the wall structure of plant cell is closely neighbor each other, it is necessary to separate its boundary pixel. Therefore, image merging and shrinking algorithm was adopted to avoid disconnection. After then, boundary pixel was traced through thinning algorithm. Each image from the electro-microscope has a information of x,y position and its height along the z axis cross sectioned image plane. 3D image was constructed using the continuous image combination. Major feature was acquired from a fault image and measured area, thickness of cell wall, shape and unit cell volume. The shape of plant cell was consist of multiple facet shape. Through this measured information, it is possible to construct for structure shape of unit plant cell. This micro unit image processing techniques will contribute to the filed of agricultural mechanical property and will use to construct unit cell model of each agricultural products and information of boundary will use for finite element analysis on unit cell image.

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A Protein-Protein Interaction Extraction Approach Based on Large Pre-trained Language Model and Adversarial Training

  • Tang, Zhan;Guo, Xuchao;Bai, Zhao;Diao, Lei;Lu, Shuhan;Li, Lin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.3
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    • pp.771-791
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    • 2022
  • Protein-protein interaction (PPI) extraction from original text is important for revealing the molecular mechanism of biological processes. With the rapid growth of biomedical literature, manually extracting PPI has become more time-consuming and laborious. Therefore, the automatic PPI extraction from the raw literature through natural language processing technology has attracted the attention of the majority of researchers. We propose a PPI extraction model based on the large pre-trained language model and adversarial training. It enhances the learning of semantic and syntactic features using BioBERT pre-trained weights, which are built on large-scale domain corpora, and adversarial perturbations are applied to the embedding layer to improve the robustness of the model. Experimental results showed that the proposed model achieved the highest F1 scores (83.93% and 90.31%) on two corpora with large sample sizes, namely, AIMed and BioInfer, respectively, compared with the previous method. It also achieved comparable performance on three corpora with small sample sizes, namely, HPRD50, IEPA, and LLL.

Patent Trend of Unmanned and Automated Agricultural Production - Open Field Operation -

  • Kim, YongJoo;Chung, SunOk;Lee, ChoongHan;Lee, DaeHyun;Lee, KyeongHwan
    • Agribusiness and Information Management
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    • v.6 no.1
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    • pp.30-36
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    • 2014
  • This study was conducted to determine the major patent and analyze the patent trend of unmanned and automated agricultural production for the open field operation. As a result of conducting a search for patent applications related to these technologies, 1,080 valid patents were selected by evaluating the relevance of the patents and removing noise patents. As a result of the country-based analysis using the selected valid patents, it was found out that the largest number of patent applications were filed in the United States with 541 cases, followed by Japan with 326 cases, the European Union with 128 cases, and Korea with 85 cases. Upon classifying the valid patents into core technology, the path generation and tracking technology accounts for 33% with 353 cases; the implementing control with environmental condition technology accounts for 22% with 236 cases; the robot design technology accounts for 21% with 228 cases; the plant and environment sensing technology accounts for 19% with 206 cases; the yield and quality monitoring technology accounts for 5% with 58 cases. Finally, 10 core patents were selected by performing a patent index evaluation. The United States registered all of the 10 core patents. The results showed that Korea falls behind in the open field-related unmanned and automated agricultural production, compared to other developed agricultural countries.

Regulation of International Economic-Legal Cooperation in the Field of Agricultural Production through the Prism of Information Technology Development

  • Matvieiev, Petro;Baadzhy, Nataliia;Gurenko, Maria;Myroshnychenko, Volodymyr;Feofanova, Iryna
    • International Journal of Computer Science & Network Security
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    • v.21 no.11
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    • pp.143-150
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    • 2021
  • International economic and legal cooperation can ensure the transition of agriculture to the trajectory of sustainable development. The paper considers in detail the set of common goals and problems of an international nature, the solution of which is aimed at global legal regulation of cooperation between states. It is also noted about the impact of information technology on agricultural development. The following methods of scientific cognition are used: a historical, systematic approach to research, method of analysis, and synthesis. Research results: a scientific idea of the importance of international cooperation in general and global collaboration in the field of agricultural production in particular. It is stated that states are obliged to cooperate, regardless of differences in their political, economic, and social systems, in various areas of international relations to maintain international peace, security and promote worldwide economic stability and progress, the common good of peoples. It is emphasized the need to build such relations in the agricultural sector, which take into account the interests of all states.

North Korean Research Institutes for Plant Resources and the Actual Conditions of Their Agricultural Usage

  • Lim, Sang-Cheol;Kim, Wan-Seok
    • Korean Journal of Plant Resources
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    • v.23 no.6
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    • pp.550-553
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    • 2010
  • The representative research institutes in North Korea are the Academy of Science and the laboratories of major universities. The National Academy of Science consists of headquarters, Academy of Medicinal Science, Academy of Forestry Science, and Academy of Agricultural Science. Under the authority of the National Academy of Science, Central Information Agency for Science and Technology (CIAST) has built up a database system integrating all the science technology data to provide scientific and technological information. The major universities of North Korea include Kim Il-sung University, Kim Chaek University of Technology, Pyongyang Agricultural College, and Wonsan Agricultural College, and an agricultural college is situated in each province. Out of 3,860 plant species in North Korea, 158 species which amounts to approximately 4% of the total are rare and endangered, and deforestation is under a critical situation. The Oriental Medicine (Koryo Medicine) has been well developed using medicinal plants, and practical researches on biotic pesticide are largely conducted as an alternative to tackle the shortage of farming materials. Hereafter, a South-North joint research on the amount of plant resources and the methods of its conservation is needed and the North Korean research areas of biotic pesticide are worth adopting to the South Korean eco-friendly organic agriculture.