• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1993년도 Proceedings of International Conference for Agricultural Machinery and Process Engineering
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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.

• Asian-Australasian Journal of Animal Sciences
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• 제30권1호
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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

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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• pp.615-620
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• 1996

• 한국토양비료학회지
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• 제46권5호
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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.

• 한국농림기상학회:학술대회논문집
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• 한국농림기상학회 2016년도 추계 학술발표논문집
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• pp.64-68
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• 2016

• 한국농림기상학회:학술대회논문집
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• 한국농림기상학회 2016년도 추계 학술발표논문집
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• pp.41-43
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• 2016

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1993년도 Proceedings of International Conference for Agricultural Machinery and Process Engineering
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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.

• 한국국제농업개발학회지
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• 제30권4호
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• pp.269-276
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• 2018

1. 중앙 아시아는 5 개의 국가로 구성되어 있으며, 이 국가들은 1991년에 소련 연방에서 독립하였다. 독립 이전에는 5개 국가 모두 공산주의 통치 하에 동일한 소비에트 계획경제 체제를 가지고 있었다 2. 1991년 이래로 중앙 아시아 국가들은 정치적, 사회적, 자연적, 지리적 조건에 따라 각기 다른 개발 경로를 경험하였다. 3. 더 나은 통치 환경은 현대 기술 혁신을 장려하고 토지에 대한 신기술의 적용 및 토지에 대한 권리를 보장하도록 동기를 부여한다. 또한 상대적으로 낮은 거래 비용이 조성될 수 있도록 지원하여 생산 증대로 이어질 투자를 촉진한다. 4. 따라서 통치 환경의 개선은 농업 생산 증대에도 중요한 요인이다. 본 연구는 통치 환경과 농업 생산과의 관계를 실증적으로 분석하고 이를 검증하였다. 5. 본 연구의 결과는 농업 생산의 증대를 위하여 통치 환경의 개선이 중요함을 입증하였으며, 그 중에서도 부패 통제 및 법의 지배의 개선이 농업 생산 증대에 가장 큰 영향을 미친다는 것을 밝혔다.

• 한국농공학회논문집
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• 제63권5호
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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.

• Journal of information and communication convergence engineering
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• 제17권1호
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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.