• Korean Journal of Organic Agriculture
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• v.20 no.3
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• pp.283-296
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• 2012

This research was conducted to analysis the Elementary School Teachers' needs necessary for developing the eco-friendly school farm program. To perform these research problems, 167 people from five Elementary School group (A, B, C, D and E). Of respondents of the survey, 160 questionnaires were significant. The frequency analysis was used with SPSS 17.0 statistics program. Teacher of the needs analysis results are as follows: Teachers want to help school farm program by gardening expert, experienced volunteer. Costs of instructor and material must be supported by the government, local government. Teachers are demanding an integrated program for horticulture. The teachers would have preferred an easy plant to grow and appear in textbooks. Therefore teachers' needs to be a convert-gence in the eco-friendly school farm program manual.

• The Korean Journal of Food And Nutrition
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• v.25 no.4
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• pp.1023-1026
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• 2012

The objective of this study is to propose activation ways through an analysis on processing actual conditions and quality of farm food. For the analysis we have surveyed the actual condition of farms and conducted sensory test on farm food. Difficulties of farm business are in order to 'preparation of papers', 'facility standard', 'improvement of quality' and 'labeling'. Overall, products from major food companies achieved better results than farm foods in all sensory test. It is necessary to educate the 'Food Sanitation Act' and prepare a manual for the development of farm food.

• Journal of Practical Agriculture & Fisheries Research
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• v.3 no.1
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• pp.142-157
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• 2001

This study was conducted to get the basic information for promoting farm machinery productivity by surveying the regular maintenance and repair status of major farm machinery such as power tiller, farm tractor, rice transplanter and combine harvester. The survey was carried out through 9 provinces including Cheju province by direct visiting farmers with prepared questionnaire. The results of this study can be summarized as follows : 1. The average farming carrier of the surveyed farmers was 25.3 years, and 21-30 years of farming carrier showed the highest portion as 40.7%. The average carrier of using farm machinery was 9.4 years, and that was 14.9 years for power tiller, 8.3 years for farm tractor, 9.0 years for rice transplanter, 7.9 years for combine harvester, 7.5 years for mini tiller, 9.7 years for power sprayer, and 8.2 years for binder etc. 2. The regular maintenance for farm machinery was conducted mainly at repair shop (49.5%) or dealer agency (12.0%) as 61.5%, and 34.9% of farmers conducted the regular maintenance by themselves at their house. 3. The reasons for not-fully recognizing operation manual and insufficient before-, during-, after-maintenance of farm machinery were insufficient time for them (45.8%), troublesome (22.9%), unknown maintenance method (16.3%), unknown the necessity for maintenance (12.4%), and others (2.6%) in order. 4. For the annual exchange of engine oil, 3.2 times is necessary but actually 1.7 times was exchanged for power tiller, 4.3 times is necessary but actually 1.9 times was exchanged for farm tractor, 2.7 times is necessary but actually 1.7 times was exchanged for rice transplanter, 2.2 times is necessary but actually 2.3 times was exchanged combine harvester. 5. For the annual cleanness or exchange of fuel filter, 3.2 times is necessary but actually 1.1 times was done for power tiller, 4.3 times is necessary but actually 1.6 times was done for farm tractor, 2.7 times is necessary but actually 1.7 times was done for rice transplanter, 1.9 times is necessary but actually 0.8 times was done for combine harvester. 6. For the annual cleanness or exchange of air filter, 3.2 times is necessary but actually 1.4 times was done for power tiller, 4.2 times is necessary but actually 2.4 times was done for farm tractor, 2.6 times is necessary but actually 1.6 times was done for rice transplanter, 3.9 times is necessary but actually 7.0 times was done for combine harvester. 7. For the experience of breakdown related to maintenance, 5.3% of farmers experienced breakdown due to the insufficient exchange of engine oil, 7.7% of farmers experienced breakdown due to the insufficient cleanness or exchange of fuel filter, and 2.9% of farmers experienced breakdown due to the insufficient cleanness or exchange of air filter. 8. Most farmers (76.1%) recognized the necessity for agricultural machinery training or education, and most farmers preferred about one week for the training period, simple or ease maintenance for the training level, agricultural technical center or agricultural machinery manufacturer for the training agency. 9. Complete recognition of operation manual and sufficient before-, during-, and after-maintenance for farm machinery can minimize the breakdown as well as conduct suitable period farming, enlarge the endurance, prevent the safety accidents, and promote productivity of farm machinery. Therefore, these can be accomplished by the thorough training or education for agricultural machinery.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.147-148
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• 2015

To achieve high-yield, high-quality and safely sustainable development of agricultural and establish the standardization of agricultural production, processing, circulation management system, scientific methods must be used. But in plastic greenhouse, the traditional manual measurement way is still used in cultivation and measurement of relative humidity. In order to improve the efficiency of farm work, to make agricultural production more modernization, this paper combining with the sensor and display device to build a environment which can automatically adjust the humidity.

• Journal of Korean Society of Rural Planning
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• v.17 no.1
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• pp.89-98
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• 2011

Recently, the food industry has evolved into a new and innovative trend according to its globalization and change of food consumption patterns. However, it is hard for the traditional food industry in Korea to meet the changing consumers' needs because of its poorer quality control and lower industrialization technology than other advanced industries. Also the knowledges acquired through a lot of time and efforts would be lost after the human resources with tacit knowledges leave by their too much aging. Especially, the 21st century would be called as knowledge based society which means that knowledge be the important contributing factor in the economic growth. In this regard, this study aimed at proposing the knowledge based system for systematically managing or preserving knowledges of Mosisongpyun industry in Yeonggwang County to seek for the sustainable development of the traditional food industry in Korea. The knowledge based system of Mosisongpyun industry in Yeonggwang County is finally proposed as follows; First, hardware is composed with the necessary unit facilities such as interpretive center, learning and experience room, library, etc. And the integrating facilities such as Mosisongpyun theme park, traditional village, and knowledge industrialization support center are proposed. Second, software is composed with the necessary unit softwares such as the preservation manual of traditional knowledge and skill, web-site administrator, development of graded textbooks, development database software, etc. And the integrating softwares such as development of innovation and management ability in Mosisongpyun industry are proposed. Third, humanware is composed with the necessary unit programs such as exhibition, own training program, incubator support system, etc. And the integrating programs such as the farm association corporation, the testing and research institute, the institution of learning and training are proposed.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.32 no.6
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• pp.553-560
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• 2020

This paper presents an algorithm for identifying and eliminating errors by seagrasses in coastal bathymetry surveying using drone and HD camera. Survey errors due to seagrasses were identified, segmentated and eliminated using a L∗a∗b color space model. Bathymetry survey using a drone and HD camera has many advantages over conventional survey methods such as ship-board acoustic sounder or manual level survey which are time consuming and expensive. However, errors caused by sea bed reflectance due to seagrasses habitat hamper the development of new surveying tool. Seagrasses are the flowering plants which start to grow in November and flourish to maximum density until April in Korea. We developed a new algorithm for identifying seagrasses habitat locations and eliminating errors due to seagrasses to get the accurate depth survey data. We tested our algorithm at Wolpo beach. Bathymetry survey data which were obtained using a drone with HD camera and calibrated to eliminate errors due to seagrasses, were compared with depth survey data obtained using ship-board multi-beam acoustic sounder. The abnormal bathymetry data which are defined as the excess of 1.5 times of a standard deviation of random errors, are composed of 8.6% of the test site of area of 200 m by 300 m. By applying the developed algorithm, 92% of abnnormal bathymetry data were successfully eliminated and 33% of RMS errors were reduced.