• Journal of Korean Society of Rural Planning
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• v.30 no.1
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• pp.81-97
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• 2024

This study examines the effects of adopting Information and Communication Technology (ICT) in livestock farm management on farm sales revenue. Using the 2020 Census of Agriculture, Forestry, and Fisheries, a nationally representative data set constructed by Statistics Korea, this study focuses on a sample of 9,020 livestock farms in South Korea. We employ Propensity Score Matching (PSM) methods to address the potential selection bias between 2,076 farms that used ICT for livestock farm management and 6,944 farms that did not. The findings consistently show that the use of ICT significantly increases farm revenue, taking into account the selection bias. The utilization of ICT in livestock farms leads to a higher increase in sales revenue, particularly for farms with greater sales.

• Korean Journal of Agricultural Science
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• v.19 no.2
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• pp.238-268
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• 1992

Since rural people migrated to urban area as a result of rapid industrialization in Korea, a significant proportion on agricultural labor farces has consistently reduced and therefore incurred labor shortage in rural area which might aggravate the farm household's economy. This sutdy suggests a long run plan of supplying agricultural machines for forage cultivation based on the survery of 102 livestock farm housecholds conducted in 1987, aimed at curtailing the labor costs which would contribute to improving the livestock farming management. The results of this study are as follows: 1. Among the 102 livestock farm household surveyed, 50 farm housecholds were found to cultivate 398a of grassland on average while other 52 farm households produced the forage on the 169a of land under cultivation averagely. 2. Over 50 percent of farm houseolds were reported to have their own agricultural machine for harvesting and cutting, however rates of mechanization in other operations such as mowing and sowing were less than 20 percent. 3. There were more than 50 percent of livestock farm households who have shown their intention to buy and operate their own farming machines when proprer opportunities are given. 4. In order to estimate the long-run demand for agricultural machines for livestock farm household considering current mechanization procedure, data for the machine's optimal capacty, growth of arable acreage for feed stuffs was collected and analyzed. 5. Based on the estimated demand, long range supply plan of livestock farming machines for the period of 1990-2010 was suggested. 6. Finally, measures for technological developement and finanacial support were suggested to implement so as to encourage the farmers' adoption of agricultural machines, and to achieve the goal of mechanization planning for the livestock farm household.

• Korean Journal of Organic Agriculture
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• v.15 no.3
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• pp.237-256
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• 2007

Organic farming is promoted financially in the Republic of Korea since 2000. The, entire segment shows a very dynamic development since that time. Now, a large bouquet of measures are offered which target the promotion of organic farming. This article presents a study about the Task and Valuation on farm animal welfare for Organic Livestock. Among the supports are grants for organically managed livestock farm, investment incentives, the promotion of organic livestock husbandry, the promotion of producer co-operatives, the development of farm animal right index for animal health and animal welfare, publicity measures and measures to raise consumer awareness as well as the support of training, extension and research in the field organic livestock farming. Government must ensure that necessary incentives and sanctions are in place to maintain and improve animal welfare standards and they must be delivered appropriately. Animal welfare legislation provides essential protection for economy, environment, animals and society as a whole, must be properly observed.

• Korean Journal of Organic Agriculture
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• v.26 no.1
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• pp.57-72
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• 2018

Organic agriculture seeks sustainable agriculture. Organic agriculture is based on circulating agriculture of a family farm unit. However, as of the end of 2016, only 33 out of the total organic farming farms were implementing Crop-Livestock cycling organic farming. The reason seems to be a matter of income after all. The optimal size combination refers to the scale by which family farms can maintain their quality of life while engaging in farming activities. In other words. it is a farm scale that maintains optimal income through stable labor costs. In the meantime, there has been no previous study on the optimal economical combination of Crop-Livestock cycling farming. Choi (2016) analyzed whether the economies of scope (EOS) were realized in the combined production by using the management data of the farmers who practiced Crop-Livestock cycling organic farming for four years. As a result, it has been revealed that the EOS measurement value is 0 or more so the economies of scope are being realized. Therefore, the purpose of this empirical analysis is to identify farm incomes under this circumstance. It is assumed that the optimum production is achieved by balancing the total income curve and the total cost curve in the optimal scale production range. The results of the analysis are as follows. First, the income after the conversion to Crop-Livestock cycling farming was 44,789,280 won, the sum of the seedling-livestock sector, which was 17,873,120 won higher when the non-Crop-Livestock cycling farming was assumed. The same is true for 2014 and 2015. The reason for this is that pig droppings were composted from organic seedlings, and the cost of selling pork was 150,000 won/per pig more expensive even though the manufacturing cost of organic feeds was higher than the purchasing cost. Secondly, this study simulated the result that the economic index varies when the farm size combination is changed by the farm size of 100% standard (S100) as of 2014. S130 is the increase in size from 100% of 2014, whereas S30 is the result of 3ha crop and 66 livestock (pigs). As a result of this simulation, Crop-Livestock cycling farming income decreased more than non-Crop-Livestock cycling farming as the farm size decreased, whereas the income decreased as the farm size increased. When the size was reduced below S50, the income tended to decrease. In this situation, EOS changed in the same direction. The results showed that when the farming size was reorganized and reduced to 50% compared to 2014, the income and income difference was the highest. At the same time, economies of scope (EOS) were the highest at 0.12985. In other words, it was found that the income of farm houses in a family farm unit sector was the best in the combination of 1.5ha crop agriculture and 110 livestock (pigs).

• Journal of Environmental Science International
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• v.32 no.12
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• pp.987-990
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• 2023

This study exploded the correlation between feed and livestock manure characteristics across different livestock species. The selected farms included laying hen, fattening pig, and Hanwoo farms, with visits conducted to each farm at 1-day intervals. In the experiment, feed was provided to each livestock species every day at the same scheduled time, and samples of both feed and livestock manure were collected from each farm after 1 month. The correlation analysis revealed no significant effect on the crude protein content of the feed for each livestock species and the respective livestock manure characteristics. This could be attributed to the fact that the difference in nitrogen content of each feed did not have a substantial effect on the content of the livestock manure components or the differences in individual components were similar. Based on these results, it is crucial to conduct environmental impact assessments on farms using diverse feeding management approaches for each farm.

• Journal of the Korea Organic Resources Recycling Association
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• v.8 no.1
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• pp.83-89
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• 2000

There is no simple method to solve livestock waste problems satisfactorily. For a successful solution, various methods should be well organized orderly depending upon the situation. Even in the livestock waste management, integrated waste management principle should be applied. Minimization of livestock waste generation is the first priority. It is also important to distribute fairly livestock farms throughout the nation. Efficient management of permit system is equally important. Permit should be given only when the farmer have enough grass-land on which the farmer can apply more than two thirds of livestock waste generated or when the farm have an anaerobic digestor in which store livestock waste generated for at least 3 months. In principle, livestock waste should be treated in the farm and it is desirable to operate composting facilities in the farm site too.

• Asian-Australasian Journal of Animal Sciences
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• v.16 no.9
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• pp.1390-1396
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• 2003

This research investigates the use of crossbreed cattle (Red Sindhi${\times}$Yellow Local cattle) at household level in the lowland and mountainous zones in Quang Ngai province, Vietnam. The internal and external inputs and outputs of mixed farming systems were analysed to quantify the productivity and efficiency of the use of the crossbred and yellow local cattle. In the mountainous zone, households with crossbred cattle had a lower crop and farm efficiency rate than households without crossbred cattle, but in terms of crop, livestock and farm productivity they did not differ. In the lowland zone, households with crossbred cattle had a higher crop, livestock and farm productivity and crop efficiency rate than households without crossbred cattle, but did not differ in terms of farm efficiency rate. The lowland zone had higher off-farm income, crop and household productivity, but lower livestock productivity, livestock and farm efficiency rate than the mountainous zone. Households with crossbred cattle had lower off-farm income than households without crossbred cattle. The results suggest that interactions between zone and kind of household occur at the households and show that the yellow local cattle is a better breed in the mountainous zone and more or less comparable with crossbred cattle in the lowland zone. The extrapolation of the use of crossbred cattle should be carefully considered in line with feeding practice and management.

• Animal Bioscience
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• v.37 no.2
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• pp.173-183
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• 2024

Objective: This study aimed to evaluate whether the methane (CH₄) to carbon dioxide (CO₂) ratio (CH₄/CO₂) and methane-related traits obtained by the sniffer method can be used as indicators for genetic selection of Holstein cows with lower CH₄ emissions. Methods: The sniffer method was used to simultaneously measure the concentrations of CH₄ and CO₂ during milking in each milking box of the automatic milking system to obtain CH₄/CO₂. Methane-related traits, which included CH₄ emissions, CH₄ per energy-corrected milk, methane conversion factor (MCF), and residual CH₄, were calculated. First, we investigated the impact of the model with and without body weight (BW) on the lactation stage and parity for predicting methane-related traits using a first on-farm dataset (Farm 1; 400 records for 74 Holstein cows). Second, we estimated the genetic parameters for CH₄/CO₂ and methane-related traits using a second on-farm dataset (Farm 2; 520 records for 182 Holstein cows). Third, we compared the repeatability and environmental effects on these traits in both farm datasets. Results: The data from Farm 1 revealed that MCF can be reliably evaluated during the lactation stage and parity, even when BW is excluded from the model. Farm 2 data revealed low heritability and moderate repeatability for CH₄/CO₂ (0.12 and 0.46, respectively) and MCF (0.13 and 0.38, respectively). In addition, the estimated genetic correlation of milk yield with CH₄/CO₂ was low (0.07) and that with MCF was moderate (-0.53). The on-farm data indicated that CH₄/CO₂ and MCF could be evaluated consistently during the lactation stage and parity with moderate repeatability on both farms. Conclusion: This study demonstrated the on-farm applicability of the sniffer method for selecting cows with low CH₄ emissions.

• Journal of the Korean Home Economics Association
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• v.28 no.3
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• pp.105-125
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• 1990

The 78 housekeeping books were analyzed to find out the structure of income and expenditure of the farm household. The selected farm households were classified into 4 different farming types such as rice-cultivating, vinyl house, fruit-growing, and livestock farming. The results are summarized as follows : 1) The farm housekeeper ought to rationally manage farm household money income, because agricultural income was preponderated to several months regardless of farming types. 2) Farm household income was primarily dependent upon agricultural income and non-agricultural income in the livestock farming and rice-cultivating farm houshold respectively. 3) order of living expenses of the total farm households were recreation and entertainment expenses, food expenses, education expenses, and housing, fuel & light expenses in size. The major expenses were education expenses, food expenses and miscellaneous expenses in rice-cultivating, vinyl house and livestock farming, and fruit growing farm households respectively. 4) Balance of income and expenses of the farm household, s its time, size, and pattern of increase and decrease, was different by farming types. 5) Household expenses increased in February, May, August and December, though disposable income reversely decreased in February, April, August and December compared to each former month. So, special consideration should be taken into budget planning for household money management in February, August and December.

• IEMEK Journal of Embedded Systems and Applications
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• v.11 no.1
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• pp.15-20
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• 2016

Recently, the u-IT applications for plants and livestock become larger and control of livestock farm environment has been used important in the field of industry. We implemented wireless sensor networks and farm environment automatic control system for applying to the breeding barn environment by calculating the THI index. First, we gathered environmental information like livestock object temperature, heart rate and momentum. And we also collected the farm environment data including temperature, humidity and illuminance for calculating the THI index. Then we provide accurate control action roof open and electric fan in of intelligent farm to keep the best state automatically by using collected data. We believed this technology can improve industrial competitiveness through the u-IT based smart integrated management system introduction for industry aversion and dairy industries labor shortages due to hard work and old ageing.