• Title/Summary/Keyword: agricultural production

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GLOBALIZATION OF AGRICULTURAL MACHINERY PRODUCTION THROUGH INTERNATIONAL JOINT VENTURE

  • Kitani, Osamu
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 1993.10a
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    • pp.11-20
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    • 1993
  • The increase need for agricultural machinery production and its globalization through international Joint ventures are discussed in this paper. Examples of joint businesses for the overseas manufacturing of farm machinery are given and problems are pointed out. Overseas production of automobiles is illustrated through a few examples and suggestions are made for farm machinery production . Measures to be taken to promote global production of agricultural machinery through international joint ventures are mentioned.

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Identification of loci affecting teat number by genome-wide association studies on three pig populations

  • Tang, Jianhong;Zhang, Zhiyan;Yang, Bin;Guo, Yuanmei;Ai, Huashui;Long, Yi;Su, Ying;Cui, Leilei;Zhou, Liyu;Wang, Xiaopeng;Zhang, Hui;Wang, Chengbin;Ren, Jun;Huang, Lusheng;Ding, Nengshui
    • Asian-Australasian Journal of Animal Sciences
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    • v.30 no.1
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    • pp.1-7
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    • 2017
  • Objective: Three genome-wide association studies (GWAS) and a meta-analysis of GWAS were conducted to explore the genetic mechanisms underlying variation in pig teat number. Methods: We performed three GWAS and a meta-analysis for teat number on three pig populations, including a White Duroc${\times}$Erhualian $F_2$ resource population (n = 1,743), a Chinese Erhualian pig population (n = 320) and a Chinese Sutai pig population (n = 383). Results: We detected 24 single nucleotide polymorphisms (SNPs) that surpassed the genome-wide significant level on Sus Scrofa chromosomes (SSC) 1, 7, and 12 in the $F_2$ resource population, corresponding to four loci for pig teat number. We highlighted vertnin (VRTN) and lysine demethylase 6B (KDM6B) as two interesting candidate genes at the loci on SSC7 and SSC12. No significant associated SNPs were identified in the meta-analysis of GWAS. Conclusion: The results verified the complex genetic architecture of pig teat number. The causative variants for teat number may be different in the three populations

Investigation on Regional Distribution of Potential Energy Production with Agricultural By-Products in Agricultural Sector

  • Park, Woo-Kyun;Lee, Sun-Il;Shin, Joung-Du;Kim, Gun-Yeob;Kim, Yi-Hyun;So, Kyu-Ho
    • Korean Journal of Soil Science and Fertilizer
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    • v.46 no.5
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    • pp.343-350
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    • 2013
  • The objectives of this study were to estimate the potential biomass yield by using the biomass conversion index and evaluate the potential energy production by using the energy conversion index of biomass. Estimating the total biomass yield in Korea showed 9,646.3 thousand tons produced in 2012. Subsequent evaluation of the potential energy production using the estimated biomass yield in 2012 indicated that the calorific values were varied from 3,800 to 4,500 kcal $kg^{-1}$ for crop- and from 4,100 to 4,300 kcal $kg^{-1}$ for woody-based biomass, respectively. Among the examined biomass materials, the pruned branch of a nut tree appeared to be the greatest in bio-energy production showing 6,300 kcal $kg^{-1}$ in calorific value. Total potential energy production from agricultural by-products was estimated approximately at 3,966,000 TOE. Among the agricultural by-products examined, rice straw showed the greatest energy production potential being at 2,321,000 TOE. Furthermore, it might contribute to establishing the countermeasures of biomass utility in agricultural sector based on regional distribution chart of the potential biomass and energy yields in Korea.

Effects of Geography, Weather Variability, and Climate Change on Potato Model Uncertainty

  • Fleisher, D.H.;Condori, B.;Quiroz, R.;Alva, A.;Asseng, S.;Barreda, C.;Bindi, M.;Boote, K.J.;Ferrise, R.;Franke, A.C.;Govindakrishnan, P.M.;Harahagazwe, D.;Hoogenboom, G.;Naresh Kumar, S.;Merante, P.;Nendel, C.;Olesen, J.E.;Parker, P.S.;Raes, D.;Raymundo, R.;Ruane, A.C.;Stockle, C.;Supit, I.;Vanuytrecht, E.;Wolf, J.;Woli, P.
    • Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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    • 2016.09a
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    • pp.41-43
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    • 2016
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A STUDY ON AGRICULTURAL MECHANIZATION IN THE PEARL RIVER DELTA OF GUANGDONG PROVINCE

  • Wei, Lianhui
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 1993.10a
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    • pp.178-185
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    • 1993
  • The standard of agricultural mechanization is one of the important indicators for measuring the realized degrees of agricultural modernization in some regions. The Pearl river delta is most fertile, and thereby reputed as a land of fish and rice in the province. Studying the proceedings, profits and experiences of agricultural mechanization in the region obviously possesses the generally guiding significance for Guangdong to realize agricultural modernization by the year 2010. this paper involves these fields such as duainage, irrigation, harrowing, harvesting, transportation, processing and etc, in the Pearl River Delta, Results show as follows: (1) 80% work load in main production links has been mechanized ; (2) changed took place in traditionally agricultural production means and ways so took place in traditional agricultural production means and ways so that individual farmer in this region became commercial producer and then march toward commodity production of moderniza ion with high yields, good guality and high profits ; (3) further taping production potential to improve land output and labour productivity. Results also show that the degrees of agricultural mechanization in the Pearl River Delta are closely related to government' spolices, finance, moderate land scale management, rural industrialization and machine utility as well as talent training, shortage of which will surely; affect the proceeding of agricultural mechanization. Therefore, government must be urged to guarantee it by preferential policies and financial loan so as to greatly run rural industry, to create conditions for land scale management, to set up the socialized service system of agricultural mechanization, to actively train scientific talents and to introduce advanced equipments and technology from aborad in order to quicken the progress of agricultural mechanization in this regions.

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Importance of Governance Infrastructure on Sustainable Agricultural Production: A Case of Central Asia (지속가능한 농업생산에 있어서 거버넌스 기반의 중요성: 중앙아시아 사례 분석)

  • Ishangulyyev, Rovshen;Lee, Sang Hyeon
    • Journal of the Korean Society of International Agriculture
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    • v.30 no.4
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    • pp.269-276
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    • 2018
  • Achievement of sustainable agricultural development is one of the most important issues in many developing countries. In addition, basic inputs such as labor and capital, and social and environmental factors are important factors in agricultural production in developing countries. This study examines impact of governance conditions of Central Asian newly independent Post-Soviet Union countries on agricultural production and production efficiencies by using World Bank's Worldwide Governance Indicators. The studied countries had similar socio-economic conditions and environments before independence; however, those countries have different forms of development. Empirical results showed that governance improvement helped to increase agricultural production significantly. In addition, we found that each governance factor has different effects on agricultural production. The findings of this study would be a base for sustain agricultural production in developing countries, and stressed the necessity of improved governance conditions as well as input investments for achievement of agricultural development.

On the Linkage Between Irrigation Facilities and Rice Production Under Drought Events (가뭄사상 및 농업수리시설물이 쌀 생산량에 미치는 영향에 대한 상관 분석)

  • Woo, Seung-Beom;Nam, Won-Ho;Jeon, Min-Gi;Yoon, Dong-Hyun;Kim, Taegon;Sung, Jae-Hoon;Kim, Han-Joong
    • Journal of The Korean Society of Agricultural Engineers
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    • v.63 no.5
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    • pp.95-105
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    • 2021
  • Drought is a disaster that causes prolonged and wide scale damage. Recently, the severity and frequency of drought occurrences, and drought damage have been increased significantly due to climate change. As a result, a quantitative study of drought factors is needed to better understand and prevent future droughts. In the case of agricultural drought, several existing studies examine the economic damage caused by droughts and their causes, but these studies are not well suited to estimating crop-oriented agricultural drought damage and the factors that absolutely affect agricultural drought. This study determines which factors most affect agricultural drought. It examines meteorological factors and those related to agricultural water supplied by irrigation facilities. Rice paddy production per unit area is lower than the average from the last two years where agricultural drought occurred. We compare the relative frequency of agricultural drought impacts with irrigation facilities, effective reservoir storage, the number of water supply facilities, and the meteorological drought index such as Standardized Precipitation Index (SPI). To identify factors that affect agricultural drought, we correlate rice paddy production anomalies with irrigation water supply for the past two years. There was a high positive correlation between rice paddy production and irrigation water usage, and there was a low or moderate negative correlation between rice paddy production anomalies compared to the average of the past two years and SPI. As a result, agricultural water supply by irrigation facilities was judged to be more influential than meteorological factors in rice paddy production. This study is expected to help local governments establish policies related to agricultural drought response.

Predicting Crop Production for Agricultural Consultation Service

  • Lee, Soong-Hee;Bae, Jae-Yong
    • Journal of information and communication convergence engineering
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    • v.17 no.1
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    • pp.8-13
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    • 2019
  • Smart Farming has been regarded as an important application in information and communications technology (ICT) fields. Selecting crops for cultivation at the pre-production stage is critical for agricultural producers' final profits because over-production and under-production may result in uncountable losses, and it is necessary to predict crop production to prevent these losses. The ITU-T Recommendation for Smart Farming (Y.4450/Y.2238) defines plan/production consultation service at the pre-production stage; this type of service must trace crop production in a predictive way. Several research papers present that machine learning technology can be applied to predict crop production after related data are learned, but these technologies have little to do with standardized ICT services. This paper clarifies the relationship between agricultural consultation services and predicting crop production. A prediction scheme is proposed, and the results confirm the usability and superiority of machine learning for predicting crop production.