• 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.

• Journal of Animal Science and Technology
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• v.66 no.1
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• pp.31-56
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• 2024

Pig farming, a vital industry, necessitates proactive measures for early disease detection and crush symptom monitoring to ensure optimum pig health and safety. This review explores advanced thermal sensing technologies and computer vision-based thermal imaging techniques employed for pig disease and piglet crush symptom monitoring on pig farms. Infrared thermography (IRT) is a non-invasive and efficient technology for measuring pig body temperature, providing advantages such as non-destructive, long-distance, and high-sensitivity measurements. Unlike traditional methods, IRT offers a quick and labor-saving approach to acquiring physiological data impacted by environmental temperature, crucial for understanding pig body physiology and metabolism. IRT aids in early disease detection, respiratory health monitoring, and evaluating vaccination effectiveness. Challenges include body surface emissivity variations affecting measurement accuracy. Thermal imaging and deep learning algorithms are used for pig behavior recognition, with the dorsal plane effective for stress detection. Remote health monitoring through thermal imaging, deep learning, and wearable devices facilitates non-invasive assessment of pig health, minimizing medication use. Integration of advanced sensors, thermal imaging, and deep learning shows potential for disease detection and improvement in pig farming, but challenges and ethical considerations must be addressed for successful implementation. This review summarizes the state-of-the-art technologies used in the pig farming industry, including computer vision algorithms such as object detection, image segmentation, and deep learning techniques. It also discusses the benefits and limitations of IRT technology, providing an overview of the current research field. This study provides valuable insights for researchers and farmers regarding IRT application in pig production, highlighting notable approaches and the latest research findings in this field.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.12
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• pp.4863-4872
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• 2010

This study examined the disease conditions of patients from a farming and fishing village area. In order to analyze the medical service utilization, the necessary data were obtained from established health and medical care service plans from medical treatment related organizations. The following results were based on the analysis of data from the medical records of 2,365 discharged patients during a six months period from July to December 2009 at a general hospital in an aging farming and fishing village area. Results: The sex of the patients investigated was male 55.3%, female 44.7%, and the most frequent age category at 42.0% was 70 years of age or older. Based on type of hospital admission, 65.5% of patients who were admitted were originally outpatients. Patients were admitted according to the following departments: 49.7% for the department of internal medicine, 16.7% for the department of orthopedics, and 13.8% for the department of neurosurgery. The average number of days hospitalized was 14.8 days. The following ranks the principal diagnosis among patients in this study: S00-T98 18.4%, J00-J99 15.5%, and I00-I99 11.5%. The average number of diagnosis listed per patient was 5.6. There was a statistically significant difference for the following general characteristics according to principal diagnosis list: gender, type of insurance, admission process, and age category distribution had statistically significant differences. Monthly distribution of principal diagnoses were statistically significant difference. There was a statistically significant difference for principal diagnosis lists according to the average number of days admitted and the number of diagnosis. The results of this study showed the types of disease from typical farming and fishing village regions as disease from external injury due to the work environment of farming and fishing village regions and excessive labor throughout the year, respiratory disease, and various chronic disease from aging.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.12
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• pp.8719-8727
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• 2015

The purpose of this study is to examine the production efficiency of Rose farm and to explain the factors of the inefficiency. To analysis the production efficiency, SFA(Stochastic Frontier Analysis) and DEA(Data Envelopment Analysis) methods are measured, and then, Tobit regression model is used to analysis the influential factors on the production efficiency. As a result, first, the production efficiency by SFA is 88.4%, and by DEA, results are 78.5% and 85.2% in the CRS and VRS model, respectively. In particular, the production efficiency of the measurement results of the two methods are complementary, it is described in the same order of efficiency of each management body. Second, the results of tobit model shows that 6 input-factors are significant, and seed/nursery and material costs, which have the largest regression coefficient value and positive effect on production efficiency, are the most influential factors. Therefore, the results of this study indicates Rose farm can enhance their management efficiency by increasing amount of the seed/nursery and material costs.

• Journal of Information Technology Applications and Management
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• v.13 no.1
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• pp.149-166
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• 2006

During the past several years, a number of attempts have been made to develop computer applications for the farm business. However, none of them truned out properly applicable to small farms occupying more than 90% of the total agri-business in number as they failed to take it into consideration that small farm, typically a private busines is quite different by nature from the large-scaled farm corporate. Small-sized farming is usually done on the houshold basis, and thus there is no distinction between the household and the business economy. In addition, small farm managers are mostly lacking knowledge or skills of both computers and accounting. This study, therefore, aims at the design and implementation of the financial management and accountign information system for small farms, with an attempt to relax constraints and resolve pitfalls revealed in previously developed applications. The following principles were introduced for the study : 1) The user-system interfaces have to be managed in the natural language as much as possible, so that the users can operate the system without any professional terms. 2) Household accounting has to be seperarte by some means from the business accounting, so that small farm businesses can manage their finance and accounting as necessary. 3) The system has to be designed so as not only for the users to manage transactional data but to analyse historical data in multiple dimensions for their decision-makings. The results from this study would perhaps help not only for the farmers but for the educators, policy makers, and counselors for the farming.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.363-372
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• 2012

The purpose of this study was to investigate drinking habits of employees and to provide basic descriptive data for effective drinking prevention programs, therapies and rehabilitation services for the health improvement of employees. Data were collected from 500 employees living in Gangwondo, from June 12 to August 25, 2010. The collected data were analyzed by the SPSS 10.1 program. The mean score of positive views on alcohol was 2.93 and the mean score of negative views on alcohol was 3.18. Among alcohol abuse people who answered 'yes' on more than 2 variables out of 4 CAGE variables were 25.1% of the subjects. Problem drinkers with more than 8 points from AUDIT accounted for 64.8% of the subjects. The most common disease due to alcohol drinking was gastrointestinal tract disease. The result of this study suggests that it is necessary to maintain the atmosphere to improve drinking culture and to develop for drinking preventive educations and implementations for employees in farming and fishing communities.

• Korean Journal of Soil Science and Fertilizer
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• v.45 no.6
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• pp.1157-1163
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• 2012

This study was performed a comparative life cycle assessment (LCA) among three rice production systems in order to analyze the difference of greenhouse gases (GHGs) emissions and environment impacts. Its life cycle inventory (LCI) database (DB) was established using data obtained from interview with conventional, without agricultural chemical and organic farming at Gunsan and Iksan, Jeonbuk province in 2011. According to the result of LCI analysis, $CO_2$ was mostly emitted from fertilizer production process and rice cropping phase. $CH_4$ and $N_2O$ were almost emitted from rice cultivation phase. The value of carbon footprint to produce 1 kg rice (unhulled) on conventional rice production system was 1.01E+00 kg $CO_2$-eq. $kg^{-1}$ and it was the highest value among three rice production systems. The value of carbon footprints on without agricultural chemical and organic rice production systems were 5.37E-01 $CO_2$-eq. $kg^{-1}$ and 6.58E-01 $CO_2$-eq. $kg^{-1}$, respectively. Without agricultural chemical rice production system whose input amount was the smallest had the lowest value of carbon footprint. Although the yield of rice from organic farming was the lowest, its value of carbon footprint less than that of conventional farming. Because there is no compound fertilizer inputs in organic farming. Compound fertilizer production and methane emission during rice cultivation were the main factor to GHGs emission in conventional and without agricultural chemical rice production systems. In organic rice production system, the main factors to GHGs emission were using fossil fuel on machine operation and methane emission from rice paddy field.

• Journal of Distribution Science
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• v.13 no.10
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• pp.115-122
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• 2015

Purpose - This study was conducted to develop a beekeeping farm management standard checklist. This is essential to increase the competitive power of beekeeping farmers. Checklists in relation to crops and livestock were established by the Rural Development Administration in the 2000s. To date, 60 checklists have been created by crop and livestock experts. However, other farmers outside the 60 checklists are increasing. Therefore, extra development is required for these farmers. This study was conducted to meet farmers' requirements. The special farming dealt with in this study is beekeeping. Such checklists were not developed due to the small number of beekeeping farmers. However, these days, a number of such farmers are emerging. Research design, data, and methodology - Many related experts participated in this study. This study was conducted in four stages. First, a basic outline of beekeeping was created by surveying many kinds of beekeeping experts. The draft of the beekeeping checklist was created by a secondary advisory council. This draft was then sent to 14 beekeeping experts to confirm whether or not it was suitable as a management checklist. For collecting the experts' opinions, a direct visit survey was done through an arranged questionnaire. Additionally, a basic management checklist blueprint was reviewed by many experts. In the third stage, a Delphi survey method was utilized with a special Delphi questionnaire. In this stage, experts who participated in the first and second stages were excluded. As there were uncertain answers among them, a second Delphi survey was done. As a result of this survey, all answers were agreed among them. Results - From the results of this survey, four subjects in the management accomplishment index were determined. These are farming scale, average product per beehive, the sale price of honey (1kg), and the number of bee plates in the beehive. In the case of the management checklist content, five items were determined. These are beekeeping farming facilities, the environment around the farm land and general management, the product management of the beekeeping harvest, the management of the disease and pest, and farming management. This checklist will be utilized for beekeeping farmers to implement in a management situation. Conclusions - These days, the number of beekeeping farmers is increasing. The management checklist for beekeeping farmers will be used to improve their farming situation and marketing. Beekeeping farmers can understand their management by reviewing their checklist. After checking, the situation of management can be analyzed. Farmers can supplement weaknesses with expert advice. This checklist will be used by agricultural technique extension workers for farming management consulting. This checklist has to be complemented by a change in the management of the environment. This checklist will be delivered to beekeeping farmers after a verification survey is done. The result of the checklist score will be utilized for a benchmarking service to be implemented for beekeeping farmers to utilize.

• Korean Journal of Soil Science and Fertilizer
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• v.33 no.3
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• pp.193-204
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• 2000

In order to get some basic data on environmental friendly function by Korean organic farming, the chemical characteristics of soil were determined on 100 farm cultivating site in Paldang watershed area of Great Seoul. The EC and content of $NO_3-N$ and Av. $P_2O_5$ in topsoil(0~30cm) showed $2.30dS\;m^{-1}$, $82mg\;kg^{-1}$, $918mg\;kg^{-1}$ in the soil cultivated chinese cabbage. $2.29dS\;m^{-1}$, $86mg\;kg^{-1}$, $954mg\;kg^{-1}$ in the soil of lettuce, $1.83dS\;m^{-1}$, $66mg\;kg^{-1}$, $1114mg\;kg^{-1}$ in the soil of crown daisy. These salt accumulation(EC) and the high concentration of mineral content in topsoil such as nitrate and phosphate showed the soils of organic farming were contaminated by practice of organic farming for the maintenance strategy of soil fertility. The $NO_3-N$ and Av. $P_2O_5$ in the subsoil(30~60cm) showed $75mg\;kg^{-1}$ and $641mg\;kg^{-1}$, $72mg\;kg^{-1}$ and $466mg\;kg^{-1}$, $42mg\;kg^{-1}$ and $873mg\;kg^{-1}$ in soil cultivated chinese cabbage, lettuce and crown daisy respectively. It indicates eventually the high concentration of nitrate and phosphate in topsoil caused penetration to subsoil, and the high concentration of mineral contents in subsoil indicate the potential risk of leaching of ground water by Korean organic farming. The positive correlation at 1% between EC and $NO_3-N$, $K_2O$, T-C, $P_2O_5$ and T-N show the salt accumulation in the both soil depth of Korean organic farming were caused by minerals such as $NO_3-N$, $K_2O$, T-C, $P_2O_5$ and T-N by overuse of organic fertilizer.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.1
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• pp.109-130
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• 2022

The Vietnamese government has proposed contract farming through a new type of cooperative as an institutional innovation which aims to restructure the agricultural sector. However, policy changes often impact farmers, who bear the primary effects of the transition process. Understanding households' strategies for land use and livelihood is crucial for policymaking in the agricultural development field. This study was conducted in the rural Binh Dao commune in Central Vietnam. We analyzed household members' labor force changes and their livelihood behaviors after their participation in a contract farming scheme using qualitative analysis methods combined with geographic information system (GIS) support, based on secondary data and in-depth interviews of 190 farmers. Simultaneously, we created a digital map of the cooperative's production area to investigate changes in land use and production activities. The findings show that contract farming shaped the vertical coordination of the value chain from the farmers to the cooperative and agricultural product trading companies. Subsequently, it encouraged land use and labor efficiency due to mechanical support. In addition, it also increased productivity and protected farmers from market risks. However, despite its positive effects on agricultural productivity in this case, the contract farming scheme could not achieve the restructuring of the rural labor force toward non-agricultural sectors. Ironically, farmers in the Binh Dao commune tended to increase cultivable land during the agricultural restructuring program, rather than switching their labor forces to non-agricultural sectors. The lack of stable non-farming job opportunities in rural Vietnam results in challenges to the efficiency of agricultural restructuring programs. Consequently, farmers in the Binh Dao commune are still smallholder farmers, depending on the family labor force.