• Journal of the Korea Society of Computer and Information
• /
• v.27 no.2
• /
• pp.171-177
• /
• 2022

In this paper, we propose a service method that can provide insight into multi-source agricultural data, way to cluster environmental factor which supports data analysis according to time flow, and curate crop environmental factors. The proposed curation service consists of four steps: collection, preprocessing, storage, and analysis. First, in the collection step, the service system collects and organizes multi-source agricultural data by using an OpenAPI-based web crawler. Second, in the preprocessing step, the system performs data smoothing to reduce the data measurement errors. Here, we adopt the smoothing method for each type of facility in consideration of the error rate according to facility characteristics such as greenhouses and open fields. Third, in the storage step, an agricultural data integration schema and Hadoop HDFS-based storage structure are proposed for large-scale agricultural data. Finally, in the analysis step, the service system performs DTW-based time series classification in consideration of the characteristics of agricultural digital data. Through the DTW-based classification, the accuracy of prediction results is improved by reflecting the characteristics of time series data without any loss. As a future work, we plan to implement the proposed service method and apply it to the smart farm greenhouse for testing and verification.

• Korean Journal of Medicinal Crop Science
• /
• v.10 no.5
• /
• pp.333-339
• /
• 2002

This study was conducted to obtain the basic data for practical use of the Polygonatum genetic resources. The 20 collections were analyzed by principal component analysis of 8 characters and cluster analysis. In the principal analysis, the first, the second and the third components contributed 54.10%, 18.95% and 11.62% of the variations, respectively. The cumulative contribution from the first to the third principal components was 84.68%. The first principal component was related to shape and size of plant, and assimilatory, reserve and reproductive organs. The second principal component was related to growth and development of plant, and reserve organ. And the third principal component was related to growth and development of plant. Based on cluster analysis, the 20 collections were classified into 4 distinct groups with the average distance greater than 0.7 between groups. Group I was Polygonatum sibiricum $D_{ELAR}$ and Group II included P. odoratum var. pluriflorum $O_{HWI}$, P. odoratum var. pluriflorum $O_{HWI}$ for 'Variegatum' Y. Lee, for. nov., P. odoratum var. thunbergii $H_{ARA}$ and P. odoratum var. maximowiczii $K_{OIDZ}$. GroupIII was P. involucratum $M_{AXIM}$, P. desoulavyi $K_{OMAROV}$ and P. humile $F_{ISHER}$ ex. $M_{AXIM}$. And GroupIV included P. lasianthum var. coreanum $N_{AKAI}$ and P. inflatum $K_{OMAROV}$.

• Journal of The Korean Society of Agricultural Engineers
• /
• v.60 no.6
• /
• pp.43-54
• /
• 2018

The accurate estimation of reference crop evapotranspiration ($ET_o$) is essential in irrigation water management to assess the time-dependent status of crop water use and irrigation scheduling. The importance of $ET_o$ has resulted in many direct and indirect methods to approximate its value and include pan evaporation, meteorological-based estimations, lysimetry, soil moisture depletion, and soil water balance equations. Artificial neural networks (ANNs) have been intensively implemented for process-based hydrologic modeling due to their superior performance using nonlinear modeling, pattern recognition, and classification. This study adapted two well-known ANN algorithms, Backpropagation neural network (BPNN) and Generalized regression neural network (GRNN), to evaluate their capability to accurately predict $ET_o$ using daily meteorological data. All data were obtained from two automated weather stations (Chupungryeong and Jangsu) located in the Yeongdong-gun (2002-2017) and Jangsu-gun (1988-2017), respectively. Daily $ET_o$ was calculated using the Penman-Monteith equation as the benchmark method. These calculated values of $ET_o$ and corresponding meteorological data were separated into training, validation and test datasets. The performance of each ANN algorithm was evaluated against $ET_o$ calculated from the benchmark method and multiple linear regression (MLR) model. The overall results showed that the BPNN algorithm performed best followed by the MLR and GRNN in a statistical sense and this could contribute to provide valuable information to farmers, water managers and policy makers for effective agricultural water governance.

• Korean Journal of Soil Science and Fertilizer
• /
• v.40 no.4
• /
• pp.330-348
• /
• 2007

Soil problems and agricultural water management of the reclaimed land in Korea were reviewed through research results conducted in RDA and ADC. According to the Korean Soil Classification and Soil Survey(NIAST, 2002), the 5 soil orders with the 45 soil series were distributed on the fluvio-marine or marine deposit of the west and south coastal plains. Yeompo, Munpo, Hasa, Gwangwhal, and Poseung soil series were most commonly distributed soil on the fluvio-marine deposits, associated with tideland of the sea coast. Former 4 soils were Entisols, and the latest one was the Inceptisols. Buyong soil associated with Poseung series was an Alfisols. Extent of Myeongji soil, a Molisols, and Yongho soil, a Histosol, were minor. Salinity control and management problems were closely related with high water table and low percolation rate due to plow-pan layer developed during the leaching process in the silty textured soil. For evaluation of field salinity, use of an electromagnetic inductance, EM38, with GPS was helpful to understand salinity status and field variability. Deep plowing, subsoiling and drainage improvement by tile drainage might be effective in paddy with plow-pan. New technology such as variable rate fertilization might save fertilizers and thus reduce environmental impact of agriculture on water quality. Water quality of agricultural water resources in reclaimed land was less adequate than that of inland water resources. Proper crop management is necessary depended upon quality for crop growth as well as to match with water quality target.

• Journal of Korean Society of Forest Science
• /
• v.107 no.1
• /
• pp.50-58
• /
• 2018

The purpose of this study was to investigate the effects of Aruncus dioicus on annual soil erosion reduction effect. Based on the measured soil erosion data, the cover factor of RUSLE was calculated. Comparing calculated the cover factor and Chewings fescue cover factor for soil erosion reduction, It found that cover crop Aruncus dioicus of reducing soil erosion was effective. The amount of soil erosion according to the type of Aruncus dioicus covering was 2.22 Mg/ha, Chewings fescue was 1.85 Mg/ha, 10.60 Mg/ha was produced in the Bare ground. Cover factor of Aruncus dioicus was $0.09{\pm}0.03$ according to the type of covering, Chewings fescue was $0.08{\pm}0.03$, Bare ground was $0.35{\pm}0.10$. Weeds control Bare ground was $0.83{\pm}0.14$. The results of the variance analysis of the cover factor for each covering were different according to the cover type. As a result of the classification of the same group through post - analysis, it was found that the Aruncus dioicus and Chewings fescue were similar to each other. Therefore, the Aruncus dioicus was effective to reduce the soil erosion to the extent that it was comparable to the Chewings fescue.

• KOREAN JOURNAL OF CROP SCIENCE
• /
• v.1 no.1
• /
• pp.3-25
• /
• 1963

Experiments were carried out to classify the ecotypes and maturity groups of soybean varieties, and to make clear the relationships among these ecotypes, maturity groups and some characteristics in the growing and ripening process of soybean varieties in Korea. Soybean varieties used as the material were 138, 57 varieties collected from Japan, America and Canada and 81 local varieties of Korea. These varieties were grown in the Experimental Farms, College of Agriculture, Seoul National University, Suwon, Korea and Chinju Agricultural College, Kyungsang Namdo, Korea. Seed sowing was conducted at 8 times from April15 to July 29, at 15 day-intervals, in 1962. The classification methods of ecotypes and maturity groups applied in this study, and the results obtained are summarized as follows; 1. Ecotypes were classified from the standpoint of the periods from emergence to flowering, the shortened ratio of days from sowing to flowering by delayed sowing, and the periods from flowering to maturity(as shown in Table A). 2. All varieties wer classified into 10 ecotypes of Ia$_1$, Ib$_1$, IIa$_2$, IIb$_1$, IIb$_2$, IIIb$_1$IIIb$_2$, IIIc$_1$and IIIc$_2$ symbols. Korean local varieties, however, belong to 6 ecotypes of IIb$_1$, IIb$_2$, IIIb$_1$, IIIc$_2$, IIIc$_1$ and IIIc$_2$, respectively(table 1). 3. Durations from sowing to maturity were from 120 to 190 days in April sowing plots of all varieties. From the standpoint of the durations, maturity groups were classified into 9 groups from group I, extreme early, to group IX, extreme late, but our local varieties belong to 5 maturity groups of III, IV, V, VI and VII symbols, respectively(Table 2). 4. Kinds of ecotypes and maturity groups, and the number of soybean varieties belonging to those are as shown in Table B. 5. In this study, it was observed that there were some close relations between these ecotypes and maturity groups (Table 3,4), and among the ecotypes, maturity groups and some other characteristics in the growing and ripening process of the soybean varieties(Table 5). 6. Furthermore, it was also observed that the kinds of ecotypes and maturity groups of recommended varieties in the southern Korean provinces are more numerous than those of the northern provinces in Korea.

• Proceedings of the Korean Society of Crop Science Conference
• /
• 2017.06a
• /
• pp.135-135
• /
• 2017

The Gramene database (http://www.gramene.org) is a powerful online resource for agricultural researchers, plant breeders and educators that provides easy access to reference data, visualizations and analytical tools for conducting cross-species comparisons. Learn the benefits of using Gramene to enrich your lectures, accelerate your research goals, and respond to your organismal community needs. Gramene's genomes portal hosts browsers for 44 complete reference genomes, including crops and model organisms, each displaying functional annotations, gene-trees with orthologous and paralogous gene classification, and whole-genome alignments. SNP and structural diversity data, available for 11 species, are displayed in the context of gene annotation, protein domains and functional consequences on transcript structure (e.g., missense variant). Browsers from multiple species can be viewed simultaneously with links to community-driven organismal databases. Thus, while hosting the underlying data for comparative studies, the portal also provides unified access to diverse plant community resources, and the ability for communities to upload and display private data sets in multiple standard formats. Our BioMart data mining interface enable complex queries and bulk download of sequence, annotation, homology and variation data. Gramene's pathway portal, the Plant Reactome, hosts over 240 pathways curated in rice and inferred in 66 additional plant species by orthology projection. Users may compare pathways across species, query and visualize curated expression data from EMBL-EBI's Expression Atlas in the context of pathways, analyze genome-scale expression data, and conduct pathway enrichment analysis. Our integrated search database and modern user interface leverage these diverse annotations to facilitate finding genes through selecting auto-suggested filters with interactive views of the results.

• Korean Journal of Medicinal Crop Science
• /
• v.13 no.1
• /
• pp.21-29
• /
• 2005

This study was done to obtain their morphological traits to analyse genetic diversity and intraspecific relationship of 47 Polygonatum species collected from Gyeongnam province. Plant height was the highest in P. thunbergii but the shortest in P. involucratum. Growth habit and its colors were classified to 3 groups, respectively. Leaf shapes were sorted to 5 groups including lanceolate with petiole or none, petiole colors were done to 3 groups including a species having dark green leaves of purple colored margin. Flower shapes were divided as 3 groups of urceolate, tubular and gourd shapes, and its colors were white, greenish white and light green, especially light green in a species with gourd shape. Filament shapes were two types of flatness and cylinder. Peduncle color and bract attached below it showed 4 types, respectively. Fruit shapes were sorted to 3 groups. In 100-fruit weights P. ordoratum var. pluriflorum showed the greatest but P. involucratum did the least. Two species were completely resistant to leaf brightness although 7 species showed less than 7 % infection rates. Rhizome yields ranged from 4.4 g to 94.8 g per plant, showing their significant variation. In correlation analysis between 9 major characters, rhizome yield per plant was positively correlated with plant height, stalk diameter, leaf number, leaf length and width, and rhizome diameter but leaf brightness was negatively done with plant height, stalk diameter, leaf number and length, 100-seed weight, rhizome yield per plan and rhizome diameter.

• KOREAN JOURNAL OF CROP SCIENCE
• /
• v.41 no.3
• /
• pp.266-273
• /
• 1996

To obtain basic information on forage sorghum F$_1$ hybrid breeding a total of 16 lines were selected from 311 introduced sorghum germplasm accessions, assessed and classified by the taxonomic distance and principal component analysis. The lines of which plant height and morphological characters were diverse and the 50% flowering date was similar to each other, were selected for parental lines in sorghum $\times$ sweet sorghum and sorghum $\times$ sudangrass crossing groups. Three varietal groups were classified by the average linkage cluster analysis based on the D$^2$ computed in eleven characters. Group I, II and III included 6 lines of sudangrass, 4 lines of sweet sorghum and 6 lines of grain sorghum, respectively. In the result of principal component analysis for eleven characters, about 82% of total variation could be appreciated by the first four principal components, the first principal component was highly loaded with head compactness and shape, l00-seed weight, plant color and grain covering, the second principal component with flowering date, plant height and awnness.

• KOREAN JOURNAL OF CROP SCIENCE
• /
• v.14
• /
• pp.133-137
• /
• 1973

In order to classify the ecotypical and maturing groups 136 Korean local and 4 Japanese Perilla varieties were sown at Suwon on May 20, 1972, and investigations were made on days to flowering, days to maturing and growth duration. Results obtained were summarized as follows: 1. Ecotype was classified from 6 groups with combination of the long and short duration from sowing to flowering and maturing period. The classified symbols of groups were Ia, Ib, IIa, IIIa, and IIIb. I: long duration. to flowering II: medium duration to flowering III: short duration to flowering a: long duration to maturing b: short duration to maturing Korean local varieties were distributed 3 ecotypes of IIa, IIb and IIIa, however, Japanese varieties did 2 ecotypes of IIa and IIb, respectively. 2. Maturing group was classified from 3 groups with long (I), medium (II), and short (III) growth durations. Korean local varieties belong to II and III groups but Japanese varieties belong to I and II groups, respectively. 3. Three were highly significant positive correlation (0.685) between ecotypical and maturing group. Ecotype was more related with days to flowering and growth duration, however, maturing group was related with days to flowering, days for maturing, and growth duration. Korean local varieties, more distributed into ecotype than maturing group, were attributed to differences of environmental conditions and cultural practices at different provinces.