• The Journal of Korea Robotics Society
• /
• v.16 no.1
• /
• pp.49-55
• /
• 2021

Recently, a smart farm technology is drawing attention as an alternative to the decline of farm labor population problems due to the aging society. Especially, there is an increasing demand for automatic harvesting system that can be commercialized in the market. Pre-harvest crop detection is the most important issue for the harvesting robot system in a real-world environment. In this paper, we proposed a real-time tomato instance tracking algorithm by using deep learning and probability models. In general, It is hard to keep track of the same tomato instance between successive frames, because the tomato growing environment is disturbed by the change of lighting condition and a background clutter without a stochastic approach. Therefore, this work suggests that individual tomato object detection for each frame is conducted by YOLOv3 model, and the continuous instance tracking between frames is performed by Kalman filter and probability model. We have verified the performance of the proposed method, an experiment was shown a good result in real-world test data.

• Journal of Families and Better Life
• /
• v.18 no.3 s.47
• /
• pp.1-14
• /
• 2000

This study was to find out the status of labor division between rural husband and wife by measuring the labor time for tasks, the ratio of relative contribution toward work, and work segregation. Data used in this study were collected fro 424 persons of 212 farm households mainly cultivating rice and barley. The results of this study were as follows : 1) In the case of work directly related to farming, working hours of husband were significantly longer than those of wife during the farming and off-farming season. In contrast working hours of wife for housekeeping were significantly longer than those of husband during both seasons. 2) The ratio of relative contribution toward farming work of husband was a little higher than that of wife during farming and off-farming season. But this toward housekeeping work was less than that of wife. 3) The degree of gender segregation in farming was 0.33 during the farming season and 0.01 during the off-farming season. The kinds of work and time distribution were relatively same. The degree of gender segregation in housekeeping was 0.79 during the farming season and 0.72 during the off-farming season. These values showed inequality of work segregation in the kind of work and time distribution.

• The Korean Journal of Community Living Science
• /
• v.13 no.1
• /
• pp.25-40
• /
• 2002

Recently the rural women's role has been changed from assisting men to leading major farm work. However, contribution of women in the rural area has not beers fairly evaluated. Hence, it has been difficult for the rural women to receive the reasonable compensation if they injured, had some disasters or were divorced. Therefore this study tried to suggest economic methods such as market cost approach, opportunity cost method and shadow wage method for evaluating rural women's labor. It might provide some information for helping to establish the status of rural women as a income earner through estimating money value of labor contributed by rural women and furthermore, be useful information to improve the efficiency of farm labor by exploring the relationship between value of labor and actual income. Hence, it might help improve the economic situation and life at home of rural women, solve difficulties in the real life and reduce disparity of economic distribution between urban and rural area.

• Journal of Biosystems Engineering
• /
• v.11 no.1
• /
• pp.64-75
• /
• 1986

The objective of this study was to develop a mathematical model for optimum design of diversified farming systems which have the regional characteristics. For this purpose, the farming surveys were conducted for mainly 1984 agriculture. They were carried out on January and July 1985 for three villages of central region of Korea. The surveyed data were analyzed by systems analysis and the diversified farming systems were modeled. They consist of four and six croping patterns for paddy and upland, two and three kinds of fruit crop and livestock, and seven kinds of farm machinery for each work system. Then a mathematical model was developed by the multiple objective decision making (MODM) method in order to design optimum systems of diversified farming. It consists of 23 decision variables, two objective functions and nine constraint functions. The goals of objective function are maximization of agricultural incomes and power inputs of farm machinery, and the modeled factors for constraint function are arable land, available capital, labor, and land utilization.

• IEMEK Journal of Embedded Systems and Applications
• /
• v.17 no.3
• /
• pp.177-183
• /
• 2022

To measure the size and weight of the fish, we developed an automatic fish size measurement system using a deep neural network, where the YOLO (You Only Look Once)v3 model was used. To detect fish, an IP camera with infrared function was installed over the fish pool to acquire image data and used as input data for the deep neural network. Using the bounding box information generated as a result of detecting the fish and the structure for which the actual length is known, the size of the fish can be obtained. A GUI (Graphical User Interface) program was implemented using LabVIEW and RTSP (Real-Time Streaming protocol). The automatic fish size measurement system shows the results and stores them in a database for future work.

• Journal of Agricultural Extension & Community Development
• /
• v.21 no.3
• /
• pp.53-89
• /
• 2014

Immigrant farmers work in various social and economic fields of activity, settling in their rural community. In this study, I inquired into the way of acting of immigrant farmers, based on the texts which were made in the precedent studies. The texts were transcriptions that were made by interviews with immigrant farmers. I classified immigrant farmers' activities into 8 groups that were related to; farming, nonfarm business, off-farm business, volunteering, participating in community organization, lifelong learning, leisure and social interaction in everyday life. And, I tried to capture the characteristics and meanings of those activities. The implications from this analysis are as followings: 1) most of immigrant farmers have small family farm so that they need nonfarm or off-farm jobs, 2) pluri-acivities of immigrant farm households can contribute to their community's economic viability, 3) their economic activities should be observed carefully in the perspective of self-help approach in community development as well as farm households' livelihood strategy, 4) immigrant farmers have many difficulties to participate in community, nevertheless community participation will improve the social capital, 5) gender-sensitive policy should be developed.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.10
• /
• pp.318-325
• /
• 2019

Recently, research and development on agricultural robots have been on the rise as the interest in smart farming has increased. Robots used in smart greenhouses should be taken into account with the working characteristics and growing environment. This study examined cleaning robots developed through the environmental analysis of smart greenhouses. This study assessed the evaluation method considering the requirements of the pest control robot applicable to the smart greenhouse. The performance and quality assessment criteria were established to conduct tests through the requirements of robots. The required functions and goals of the pest control robot were derived by referring to the robot-related standards. A driving and working ability test was conducted to assess the performance of the robot. The driving test was conducted on the driving performance of the robot and the work capability was tested on the pest control performance. In addition, a durability test was conducted to assess the quality of the robot. The required factors for smart greenhouse robots were derived from the test results. The study results are expected be a standard for an evaluation of a variety of robots for applications to smart greenhouses.

• Journal of the Korean Society of Manufacturing Process Engineers
• /
• v.20 no.5
• /
• pp.111-120
• /
• 2021

A tractor is an agricultural machine that performs farm work, such as cultivation, soil preparation, loading, bailing, and transporting, through attached working implements. Farm work must be carried out on time per the growing season of crops. As a result, the reliability of a tractor's transmission is vital. Ideally, the transmission's design should reflect the actual load during agricultural work; however, configuring such a measurement system is time- and cost-intensive. The design and analysis of a transmission are, therefore, mainly performed by empirical methods. In this study, a tractor with a measurement system was used to measure the actual working load in the field. Its hydro-mechanical transmission was then analyzed using the measured load. It was found that the velocity factor, load distribution factor, lubrication factor, roughness factor, relative notch sensitivity factor, and life factor affect the gear strength of the transmission. Also, loading conditions have a significant influence on the reliability of the transmission. It is believed that transmission reliability can be enhanced by analyzing the actual load on the transmission, as performed in this study.

• Journal of Korean Society of Rural Planning
• /
• v.21 no.2
• /
• pp.163-175
• /
• 2015

This study aimed to analyze factors of importance and performance picked by customers of Bibijeong, a farm restaurant operated by the local community of Wanju-gun. Major points include: Recognition paths mostly were word of mouth and mass media, types of visit were in the company of friends, family members or work colleagues, and purposes of visit included consumption of meal and identifying features of the restaurant. Secondly, factor analysis showed that level of facility, atmosphere/cleanness, diversity of menu, employees, ingredients and network. The Cronbach Alpha coefficient was +0.6. Thirdly, average of importance of factors was 3.861 while average performance was 3.429. IPA analysis showed that employee(communication, customer contact) in the first quadrant proved the need for fast improvement through training. Atmosphere/cleanness (interior atmosphere, table clean, kitchen cleanliness, clean dishes, interion design) and employee(proficiency, menu recognition), foodstuff(freshness, origin, safety) in the second quadrant showed that the marketing strategy of improvement as well as maintaining current status is needed, including regular training and hygiene inspection. The third quadrant contains facilities(disability, baby, fire protection) and food menu(food packing, various menu, creative menu, menu description), network(village economic links), which showed the need for gradual improvement. The forth quadrant contains network(sights's near contains. The results so far can be summed into the statement that overcoming the basic functionality of providing meals and linking the restaurant with local attractions and local economy would be need, as well as building up the image of unique farm restaurant with local features, so that Bibijeong can serve as the centerpiece of community and foundation of exchange with other areas.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.14 no.3
• /
• pp.1221-1227
• /
• 2013

This study aims to establish the prevalence and risk factors of knee pain. Study subjects in this survey were 306 farm workers of the two-Myon, Keumsan-Gun, Chungnam-Do. Collected data was self-administered questionnaires that were investigated in February 1 to march 31, 2012, about the existence of knee pain, age, sex, height, weight, and the type of farm work. As a results, females had more knee pain than males. Aging was a major cause of knee pain in both genders. About half of persons over 60 years old had knee pain. Tall and heavy females had more knee pain than short and light females, but this trend was not observed in males. these results represent fundamental data for prevention of knee pain.