• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.12 no.3
• /
• pp.201-210
• /
• 2019

This paper proposes the AMCS(Agricultural Machine Control System that distinguishes farms using satellite photos or drone photos of farms and controls the self-driving and operation of farm drones and tractors. The AMCS consists of the LSM(Local Server Module) which separates farm boundaries from sensor data and video image of drones and tractors, reads remote control commands from the main server, and then delivers remote control commands within the management area through the link with drones and tractor sprinklers and the PSM that sets a path for drones and tractors to move from the farm to the farm and to handle work at low cost and high efficiency inside the farm. As a result of AMCS performance analysis proposed in this paper, the PSM showed a performance improvement of about 100% over Dijkstra algorithm when setting the path from external starting point to the farm and a higher working efficiency about 13% than the existing path when setting the path inside the farm. Therefore, the PSM can control tractors and drones more efficiently than conventional methods.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.22 no.1
• /
• pp.15-20
• /
• 2022

With the arrival of the fourth industrial era, demand for agriculture is increasing day by day, and smart farm technology, in which computers manage agriculture in line with the current situation, is developing. However, agricultural workers who use it find it difficult to set up and use a management system for smart farms. This paper aims to establish a Lab-View smart farm management system to facilitate the use of a control program for ICT technology farms (hereinafter referred to as smart farms), one of the promising projects of the next industrial revolution. Based on Lab-View, users simply set the type of crops they want to grow, set appropriate temperature/humidity data for each set crop, and collect data in real time through sensors and store it in DB. This functionality maximizes convenience and usability in terms of users.

• Journal of Animal Environmental Science
• /
• v.15 no.2
• /
• pp.171-182
• /
• 2009

Conventionally, many pig producers have utilized a continual sow managements system that the matings, farrowings and weanings are done weekly basis. But this transitional method is not able to cut the cycle of diseases and fully apply all-in/all-out system because of the continuous flow of sows and pigs. Conventional weekly management system is currently limiting in small farm to work efficiently both for workers and pigs. Therefore, pig producers have found novel management methods for applying all-in/all-out system, improving pig health, leading to better growth, lowering mortality and reducing medication costs nowadays. Moreover, all-in/all-out pig management system has known as a strategy for improving productivity in swine farm. The batch system is one of the best management methods to adopt all-in/all-out pig management system that prevent spreading diseases in pig and remove cycle of diseases. Batch farrowing system is a concept for providing a group of sows that delivery within a specific farrowing interval and inducing a large enough scale of piglets to fill the weaner facilities. There are different types of batch farrowing system with batch size and interval of farrowing when several factors at the swine farm are considered such as total number of sows, available facilities in the farm, and the efficiency of workforce. Sow managements such as farrowing, weaning and breeding, every 3 weeks rather than weekly, 2 or 5-week interval have advantages for workers and reproductive cycle of sows as well as pig flow. Because there are several pros and cons both in weekly and batch management system, various factors should be considered to apply the most suitable management system in each individual farm. To improve poor swine productivity in Korea compared to ED, batch system for sows will be an alternative choice which is able to prevent high incidence of diseases in swine farm such as PMWS, PRRS, PRDC and PED because all-in/all-out pig management can be also applied automatically by using this management system.

• Asian-Australasian Journal of Animal Sciences
• /
• v.23 no.5
• /
• pp.659-664
• /
• 2010

The present study was to investigate the effect of the transition from conventional to organic dairy farming on the antimicrobial resistant pattern of pathogens in milk. A farm with tie-stall management, with an average herd size of 20 milking cows, was selected based on the owner' willingness to accept, for at least 6 months, the highly restricted protocol developed in this study. Comparisons of bacterial isolates and antimicrobial susceptibilities before changing to an organic farm system (BEFORE) and for 6 months after (AFTER) operating the experimental organic farm system were performed by Fisher's Exact Chi-square tests. Significant levels were defined at p<0.05. During the AFTER period, average frequency of antibiotic treatment was decreased from more than 3 cases/month to less than 1 case/month during which the antibiotic use was authorized only by the veterinarian. In total, 92 and 70 quarter milk samples from 24 and 18 cows during BEFORE and AFTER, respectively, were included in the study. Overall, isolates ranged from a non-resistant level for cephazolin to a very high resistant level to streptomycin (64.71% to 95.45%). Percentages of antimicrobial resistant isolates during BEFORE were significantly higher than during AFTER for ampicillin (43.48% and 5.88%, respectively) and streptomycin (95.45% and 64.71%, respectively). In conclusion, percentages of antimicrobial resistant isolates were decreased after 6 months of operating as an organic farm system.

• Journal of Environmental Impact Assessment
• /
• v.14 no.3
• /
• pp.127-134
• /
• 2005

Recently, aquaculture farm sites have been increased with demand of the expensive fish species and sea food like as seaweed, laver and oyster. Therefore coastal water quality have been deteriorated by organic contamination from marine aquaculture farm sites. For protecting of coastal environment, we need to control the location of aquaculture sites. The purpose of this study is to detect the laver aquaculture sites using multispectral remotely sensed data with autodetection algorithm. In order to detect the aquaculture sites, density slice and contour and vegetation index methods were applied with SPOT and IKONOS data of Shinan area. The marine aquaculture farm sites were extracted by density slice and contour methods with one band digital number(DN) carrying 65% accuracy. However, vegetation index algorithm carried out 75% accuracy using near-infra red and red bands. Extraction of the laver aquaculture site using remotely sensed data will provide the efficient digital map for coastal water management strategies and red tide GIS management system.

• Korean Journal of Organic Agriculture
• /
• v.16 no.3
• /
• pp.239-258
• /
• 2008

This study identifies the spectrum of different forms of sharing labor in farm houses following the increase in the production of organic produce and deals with the gender division of labor and every day life of the farm households. The increased labor burdens of organic farming give more work opportunities to wives, weakening the gender barriers. However, some of the farm households seeking for economic feasibility are strengthening the gender barriers by specialized work divisions, leading to outside order labor of harvest, sorting, and packaging in order to increase efficiency in agricultural management in extreme cases. Even in the alternative distribution system, farm households has become subject to the distribution system as it is shown that coop claimed the segmentation of sorting work. This is because the convenience of the customers goes before the advantages of producers. Jinju, seeking for economic feasibility, has established the springboard for growth by greenhouse through monoculture and specialization and are operating economic growth stably. Farm couples with this condition, where their incomes are relatively high, are attempting to recharge their energy during low seasons. It is expected that this will be a model case of conventionalization of organic farming. Significance of organic farming in this matter is discussed.

• Journal of Biosystems Engineering
• /
• v.22 no.3
• /
• pp.343-350
• /
• 1997

In farm management, many factors should be considered to select optimum farm machinery Some factors such as fm size can be quantified, but other factors such as working experience can not be. Futhermore, as several factors are missed and assumptions are made for the selection using conventional computer programs, the result is sometimes questionable. This problem can be solved using artificial intelligent techniques such as expert system. In this study, an expert system was developed to select optimum machinery by considering available working days, machinery to on, farming environments, labor cost, population, etc. It also took into account the characteristics of machinery, turning radius, easiness of operation, subsidy, loan to purchase, asset. farmers age, Rest Metabolic Rate, and working experience, etc. Expertise and experience of human experts were utilized to develop the expert system. The developed expert system was evaluated by the human experts and others, and it was proved to be practically useful fir farmers.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.38 no.1
• /
• pp.170-181
• /
• 2015

Generally, because individual agricultural product possesses its own distinctive characteristics and shows different characteristics at each stage of the agricultural supply chain, it is necessary to develop a proper enterprise architecture for managing information system. In this paper, we propose an enterprise architecture based on RFID/USN technology that can be used as a reference enterprise architecture for u-IT application in the agriculture sectors, which is called the u-Farm enterprise architecture with taking heterogeneous characteristics of agricultural products into account for. In addition, we also developed the RFID/USN middleware platform as a core infrastructure technology. Fo evaluation of the performance of the proposed u-Farm architecture and the RFID/USN middleware platform, the field-trial evaluation at the apple Agricultural Processing Center (APC) has been executed and the results shows that the proposed architecture and platform perform well in terms of information integration over the whole SCM process from the farming stage to delivering statge to the customers. It is expected that the proposed u-Farm enterprise architecture can be utilized as a standard information architecture, and the RFID/USN middleware platform can be a infrastructure platform for future u-IT based information technology applications and services in the agricultural environment.

• 제어로봇시스템학회:학술대회논문집
• /
• 2003.10a
• /
• pp.1359-1361
• /
• 2003

This paper describes a remote monitoring system of temperature control for cold-storage of farm produce. In cold-storage, it is important that farm produces are stored as fresh. Unfortunately, when an operator goes out from the cold-storage, the temperature could be changed due to the various reasons, for an example, a valve of cooler is broken. The temperature change results in a serious problem of the quality of farm produce. To prevent the problem, the operator has to look to the current state of the temperature of the cold-storage, even he is in long away. Thus, the monitoring system to show the temperature is required to the operator who can move away. Therefore, this paper describes the remote monitoring system of the temperature. The proposed system is expected to help the operator's facilities, and the management of farm produce.

• Proceedings of the KIEE Conference
• /
• 2003.07d
• /
• pp.2486-2488
• /
• 2003

This paper describes a remote monitoring system of temperature controller for cold-storage, of farm produce. In the cold-storage, it is important that farm produces are fresh. Unfortunately, when an operator goes out from the cold-storage temperature change could be occurred due to the various reasons, for an example, a valve of cooler is broken. The temperature change results in a serious problem of the quality of farm produce. To prevent the problem, the operator has to look to the current state of the temperature of the cold-storage, even he is in long away. Thus, the monitoring system to show the temperature should be required to the operator who can move away. Therefore, this paper propose of the remote monitoring system of the temperature. The proposed system is expected to help the operator's facilities, and the management of farm produce.