• Journal of Biosystems Engineering
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• 제23권6호
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• pp.539-548
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• 1998

This study was intended to develop a load spectrum acting on a transmission of agricultural tractors. Transmission loads were measured at the input shaft of the transmission and final drive shaft of the tractors. The measurement were conducted in five field conditions at two speed levels under plowing operations in Korea. Two torque transducers were developed for the respective load measurements and other necessary instrumentations were made to collect the data and store them in a data logger. The time-histories of the torque loads were analyzed and transformed into the load spectra using the rainflow counting and Smith-Watson-Topper methods. Comparisons of the load spectra developed under different conditions were made to investigate their characteristics. The effects on the load levels of soil and plowing speeds were also investigated. Finally, a load spectrum combining the results of the spectrum analysis was developed and proposed as a load source for the reliability test of transmissions.

• Current Research on Agriculture and Life Sciences
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• 제5권
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• pp.193-204
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• 1987

The main purpose of this study is to examine agricultural technologies through plowing and hoeing. One of the purposes on which this study is to analysis process of development and divergence of plough and hoe. The following facts are significant findings ; 1. In early Yi - dynasty, tilling implements used by ard plough and mould board plough did use in three south province, most region mainly used ard plough. Therefore, farming in early Yi - dynasty is extensive. 2. The mould board plough diffused in many fann house, spring farming and autumnfarming formed complet system in early 17th Century. But works of hoeing was continuing to save labor by long hand hoe. 3. Finally in 17th century, Small - scale independent farming ceaselessly tried to make his basis with transtortation intensive farming method. But Small - scale independent farming had not stafely base because extensive farming method continued in this peorid.

• 한국정밀공학회지
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• 제12권12호
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• pp.72-80
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• 1995

Ultraprecision machining technology has been playing a rapidly increasing and important role in manufacturing. However, the physics of the micromachining process at very small depth of cut, which is typically 1 .mu. m or less is not well understool. Shear along the shear plane and friction at the rake face dominate in conventional machining range. But sliding along the flank face of the tool due to the elastic recovery of the workpiece material and the effects of plowing due to the large effective negative rake angle resultant from the tool edge radius may become important in micromachining range. This paper suggests an orthogonal cutting model considering the cutting edge radius and then quantifies the effect of plowing due to the large effective negative rake angle.

• 한국초지조사료학회지
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• 제27권3호
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• pp.209-218
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• 2007

본 실험은 파종시기 및 경운횟수가 옥수수의 생육특성, 건물수량, 영양수량 및 사일리지 기호성에 미치는 영향을 구명하기 위하여 파종시기 및 경운횟수를 통한 5처리(C : 파종 5월 5일, 경운회수 1회, 인력제초 1회, T1 ; 파종 5월 12일, 경운회수 2회, T2 : 파종 5월 19일, 경운회수 3회, T3 : 파종 5월 21일, 경운회수 4회, T4 : 파종 6월 2일 경운회수 5회) 3반복으로 2006년 5월부터 2006년 10월까지 상주대학교 부속 실습농장내 사료포장에서 실시하였으며, 그 결과를 하면 다음과 같다. 초장과 착수고는 C > T1 > T2 > T3 > T4구순으로 높게 나타났지만 초장에서는 유의적인 차이가 없었으며 착수고에서는 처리구간 유의적인 차이를 보였다(p<0.05). 엽장은 T2가 96.0cm로 가장 길게 나타났지만 처리구간 유의적인 차이는 나타나지 않았다. 엽폭은 C와 T3구가 (11.2cm), 고사엽은 C 및 T1구가 각각 4.6엽으로 가장 높게 나타났다. 경의 굵기에 있어서는 T3구가 31mm로 가장 높았던 반면 T2구가 25mm로 가장 가늘게 나타났다(p<0.05). 암이삭 둘레는 C(17.1 cm) > T1(15.6 cm) > T4(15.4 cm) > T3(15.3 cm) > T2(15.2cm) 순으로 높게 나타났으며(p<0.05), 암이삭 충실도는 C구가 8.8로서 가장 높았던 반면 T4구가 6.0으로서 가장 낮게 나타났다 (P<0.05). 경의 경도와 알곡 경도는 파종시기가 빠른 순 인 C > T1 > T2 > T3 > T4순으로 나타났다(p<0.05). 그리고 경의 당도는 T1구가 6.1%로 가장 높고, T2구가 3.0%로 가장 낮게 나타났다(p< 0.05). 잡초 발생량은 C구가 500 kg/ha으로 가장 적게 T1구가 44,100 kg/ha로서 가장 높게 나타났으며 (P<0.05), 잡초의 피복도는 T1 > T2 > T3 > T4 > C구순으로 높게 나타났다(p<0.05). 생초수량은 C구가 73,550 kg/ha로서 가장 높았던 반면 T4구가 65,500 kg/ha로서 가장 낮은 수확량을 보였다(p<0.05). 건물수량에 있어서는 C(26,978 kg/ha) > T1(26,130 kg/ha) > T2(20,255 kg/ha) > T3(20,255 kg/ha) > T4(17,508 kg/ha)구 순으로 높게 나타났다(P<0.05). 조단백질 함량은 T1 > T4 > T2 > T3 > C구순으로 높았으며(p<0.05), 조지방은 C > T1 > T2 > T3 > T4구순으로 높았다. 상대기호성은 Holstein, 염소 및 꽃사슴에서는 C구가 가장 높은 기호성을 보였으나 한우에서는 T1구가 가장 높게 나타났다.

• 한국농공학회지
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• 제18권2호
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• pp.4127-4160
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• 1976

• 농업과학연구
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• 제46권4호
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• pp.857-868
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• 2019

A flooded rice field is one of the significant sources of anthropogenic methane (CH₄) with the intensity of the emissions dependent on management practices. Incorporation of rice straw, which is one of the organic amendments, induces the increase of methane emissions during the flooding season. In this study, we measured of methane emission according to applications of rice straw in different soil textures during a cultivation period in 2017 and 2018. The fallow treatments were non application of rice straw (NA), spring plowing after spring spreading of rice straw (SPSA), spring plowing after previous autumn spreading of rice straw (SPAA), and autumn plowing after previous autumn spreading of rice straw (APAA). The SPSA treatment emitted the highest total methane from loam soil in both 2017 (596.7 CH₄ kg ha^-1) and 2018 (795.4 CH₄ kg ha^-1). The same trend was observed in silt clay loam soil; the SPSA treatment still emitted the highest amount of methane in both 2017 (845.9 CH₄ kg ha^-1) and 2018 (1,071.7 CH₄ kg ha^-1). The lowest emission among the rice straw incorporated plots came from the APAA treatment for both soil texture types in all the seasons. The conversion factors of the SPAA were 0.79 and 0.65 from the loam and silt clay loam soils, respectively. Relatedly, the conversion factors of the APAA were 0.71 and 0.43 from the loam and silt clay loam soils, respectively. The above observations mean therefore that incorporation of rice straw early in the fallow reduces methane emissions in the main rice growing season.

• The Korean Journal of Ecology
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• 제18권4호
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• pp.471-481
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• 1995

The weed population dynamics as affected by contrasting conventional tillege (CT) and no-tillage (NT) practices with a minimum herbicide application was studied in Athens, Georgia, U.S.A. Common chickweed (Stellaria media) was the most common spring weed while johnsongrass (Sorghum halepense), sicklepod (Cassia obtusifolia), and pigweed (Amaranthus retroflexus) accounted for 89∼97％ of net production during summers of 1983 and 1984. Total weed production in summer of 1984 was 2∼5 times greater than that of 1983. Weed production was greater in NT plots than in CT plots in summer of 1983, but reverse was the case in summer of 1984. In spring, net production in NT plots was greater than that in CT plots, especially, in 1985. Species diversity was consistently higher in NT plots, but in the wet summer of 1984 the pattern was different, with higher diversity in CT plots. Weed species diversity was higher in the spring rye crop than in the summer grain sorghum crop. The larger but less diverse weed populations in summer of 1984 indicated that these populations experienced competitive exclusion. Under the favorable summer moisture conditions the three dominant species grew so vigorously and quickly as to exclude many less common species that were able to survive under the drier conditions in 1983. The three dominant species not only excluded other weeds in 1984 but also greatly reduced crop production. The perennial johnsongrass was equally successful, or even more so, in CT plots as in NT plots. Plowing did not kill johnsongrass rhizomes but tended to break them up, thus increasing the number of individual plants that appear after the plowing. It means that johnsongrass was not controlled by the plowing. In summer of 1983, a moderate amount of weedy growth was maintained with a minimum amount of gerbicide application in NT and CT plots. It is possible that a small mixed weed population would be beneficial by providing cover for predatory and parasitic arthropods, and by reducing soil temperature and moisture losses.

• 한국산업보건학회지
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• 제30권3호
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• pp.292-298
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• 2020

Objectives: The aim of this research is to establish Similar Exposure Groups (SEGs) for chemical and biological risk factors that occur in farm work involving 24 tasks among 15 crops. Methods: To categorize SEGs, work type, work environment, and similar tasks for each crop were considered. After confirming the chemical risk factors (pesticides, inorganic dust-total dust and PM₁₀, ammonia, and hydrogen sulfide) and biological factors (organic dust-total dust and PM₁₀, and endotoxins) that occur in the crops and tasks, similar crops and tasks were selected as SEGs. Results: Among chemical risk factors, pesticides was selected for the SEGs, which was categorized by open field, greenhouse, fruit, and specialty crops. For inorganic dust, open field (plowing harrowing, seedling, planting, harvest, and sorting and packing) and specialty crops (plowing harrowing, seedling, planting, and harvest) were selected as SEGs. For ammonia and hydrogen sulfide, livestock (preparation of farm, management of nursery bed, feeding, shipment and manure treatment) were selected as SEGs. For biological risk factors such as organic dust (total dust, PM₁₀) and endotoxins, open field (manure application), greenhouse (plowing harrowing, planting, manure application, and harvest), fruit (manure application), specialty crops (manure application, making furrows, mixing mushroom media, harvest, and sorting and packing), and livestock (preparation of farm, maintaining poultry litter, feeding, shipment and manure treatment) were selected as SEGs. Conclusions: To establish similar exposure groups in agriculture, it is important that the characteristics of each hazard factor are categorized by identifying risk factors occurring by tasks.

• 제어로봇시스템학회논문지
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• 제12권5호
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• pp.489-496
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• 2006

The random-based cleaning algorithm is a simple algorithm widely used in commercial vacuum cleaning robots. This algorithm has two limitations, that is, cleaning takes a long time and there is no guarantee that the cleaning will cover the whole cleaning area. This has lead to customer dissatisfaction. Thus, in recent years, many intelligent cleaning algorithms that takes into consideration information gathered from the cleaning area environment have been proposed. The plowing-based algorithm, which is the most efficient algorithm known to date when there are no obstacles in the cleaning area, has a deficiency that when obstacle prevail, its performance is not guaranteed. In this paper, we propose the Group-k algorithm that is efficient for that situation, that is, when obstacle prevail. The goal is not to complete the cleaning as soon as possible, but to clean the majority of the cleaning area as fast as possible. The motivation behind this is that areas close to obstacles are usually difficult for robots to handle, and hence, many require human assistance anyway In our approach, obstacles are grouped by the complexity of the obstacles, which we refer to as 'complex rank', and then decide the cleaning route based on this complex rank. Results from our simulation-based experiments show that although the cleaning completion time takes longer than the plowing-based algorithm, the Group-k algorithm cleans the majority of the cleaning area faster than the plowing algorithm.

• 한국산업보건학회지
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• 제32권2호
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• pp.137-145
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• 2022

Objectives: This study aimed to identify PM₁₀ mass concentration levels and conduct peak identification during five tasks in agricultural works. Methods: We investigated five agricultural tasks in 12 farms, which were harvesting, plowing, sowing, planting, and decapitation. All samples were measured by using the portable aerosol spectrometer(PAS 1.108) and the aerosol monitor(SidePak AM520). The collected data were compared with the national PM₁₀ concentrations. They were calculated to descriptive statistics, independent t-test, or ANOVA, and the peak identification on time series graph. Results: The ten investigated farms showed no significant difference with the national PM₁₀ concentrations, but the two greenhouses(AM, 143.31, 85.16 ㎍/m³) showed significant difference(p<0.05). As a result of the peak identification, the harvesting tasks showed repeated peak occurrence with the background concentration level of about 50 ㎍/m³. For plowing and sowing tasks, the peak occurred intermittently when the working was conducted near the sampling sites. Among the five tasks, the arithmetic mean of the harvesting task was 138.84±294.71 ㎍/m³, which was significantly higher than the other tasks(p<0.05). In addition, the case of using a tractor was higher than the case of not using the tractor(p<0.05), and the driver's seat showed the highest concentration(AM, 95.81 ㎍/m³). Conclusions: Works in greenhouses might have exposure to PM₁₀, while outdoor works is similar to general atmospheric PM₁₀ concentration levels. However, there is a possibility of intermittent exposure to high concentrations of PM₁₀ depending on the characteristics of agricultural tasks.